Grantee Research Project Results
2020 Progress Report: Regional Air Pollution Mixtures: The past and future impacts of emissions controls and climate change on air quality and health
EPA Grant Number: R835872Center: Regional Air Pollution Mixtures
Center Director: Koutrakis, Petros
Title: Regional Air Pollution Mixtures: The past and future impacts of emissions controls and climate change on air quality and health
Investigators: Koutrakis, Petros , Schwartz, Joel , Coull, Brent , Dominici, Francesca , Selin, Noelle Eckley , Mickley, Loretta J. , Zanobetti, Antonella , Barrett, Steven , Solomon, Susan , Reilly, John , Zigler, Cory
Current Investigators: Koutrakis, Petros , Coull, Brent , Mickley, Loretta J. , Zigler, Corwin , Schwartz, Joel , Selin, Noelle Eckley
Institution: Harvard University , Massachusetts Institute of Technology , The University of Texas at Austin
EPA Project Officer: Keating, Terry
Project Period: December 1, 2015 through November 30, 2020 (Extended to November 30, 2022)
Project Period Covered by this Report: December 1, 2019 through November 30,2020
Project Amount: $10,000,000
RFA: Air, Climate And Energy (ACE) Centers: Science Supporting Solutions (2014) RFA Text | Recipients Lists
Research Category: Air , Climate Change , Air Quality and Air Toxics , Social Science , Airborne Particulate Matter Health Effects , Air Toxics , Human Health
Objective:
This annual report presents an overview and summary of the progress and achievements during the fifth year of the Harvard University/Massachusetts Institute of Technology Air, Climate and Energy (ACE) Center: Regional Air Pollution Mixtures. The primary objective of the Center is to generate new scientific knowledge on past and future air quality in the U.S. and the associated health impacts, which is of paramount importance to designing sound strategies and solutions. Our Center is investigating the sources, composition, trends, and effects of regional air pollutant mixtures across the US over a relatively long chronological period spanning past and future years (2000-2040), and examining the influence of climate, socioeconomic factors, policy decisions, and control strategies on air pollution, health, and economic outcomes. Our Center’s investigators are a multidisciplinary team with expertise in a wide range of fields, including Exposure Assessment, Air Pollution Modeling, Atmospheric Chemistry, Epidemiology, Climate Change Modeling, Meteorology, Biostatistics, Economics, Urban Planning, Social Behavior, Risk Assessment, Remote Sensing, and Public Policy.
Our ACE Center includes five Research Projects supported by the Air Pollution Core and Administrative Unit. Each Research Project addresses the scientific issues stated in one or more of the EPA ACE Center Research Questions (RQ), and together they address all four RQs using a synergistic and integrative approach. Achievement of our research goals will be made possible by sharing data and analytical methodologies among the research teams. This synergistic approach enables us to not only more efficiently utilize resources, but also foster collaborations among the Investigators that cross disciplinary boundaries, enhance productivity, and strengthen the overall Center. The researchers and investigators of this ACE Center are collaborating to: 1) investigate past and projected regional and sub-regional air pollutant mixtures and examine their characteristics and health effects and their relationship to emissions, climate, and modifiable factors; 2) project the potential impact of climate change on regional mixtures; 3) assess the effectiveness of past and future regulatory strategies, and; 4) project and quantify future changes in socioeconomic drivers of air pollution and its health related impact and characterize carbon policy measures with respect to their air co-benefits.
Project 1: Regional Air Pollution: Mixtures Characterization, Emission Inventories, Pollutant Trends, and Climate Impacts
The overall objective of Project 1 is to apply new approaches to characterize and analyze both historical and projected regional air pollution mixtures and emissions across the continental U.S. Project 1 characterizes temporal and spatial patterns of pollutant mixtures within and across regions. In addition, this project investigates factors influencing regional pollutant mixtures and predicts the impact of climate change on future air quality. Project 1 has four specific objectives.
Objective 1 is to compile comprehensive air pollution, weather, emissions, and GIS datasets for the entire continental US for the period 2000-2015. We will estimate gas and particle concentrations at a high spatial resolution by assimilating data from monitoring networks (compiled in collaboration with the Air Pollution Core), satellite platforms, air pollution models, and spatiotemporal statistical models. Objective 2 was discontinued during Year 3, as previously reported in our Year 3 and 4 annual reports. Objective 3 is to characterize spatial and temporal trends of pollutant mixtures. We will perform cluster analysis to group areas that exhibit distinct pollutant profiles or mixtures, referred to as “Air Pollution Regions,” then analyze their spatial patterns and temporal trends to investigate the impact of regulations, climate change, and modifiable factors on regional mixtures. Objective 4 is to forecast the impact of regional climate change on air quality for 2016-2040 using an ensemble of climate models. We will project the potential impact of climate change on regional pollutant mixtures and predict future regional air quality assuming no changes in anthropogenic emissions. We have added a fifth research objective to this Project, as previously explained in the Year 3 ACE Center Annual Report. Objective 5 is to investigate particle radioactivity exposures and their health effects. We will compile a large database on PM radioactivity exposures, including gross beta, gamma, and radon exposures by zip code, along with other parameters influencing exposures to PM radioactivity. We will also develop analysis techniques to measure gross alpha and beta activities from retrospective Teflon filter samples. Using this exposure database, we will investigate the health effects of PM radioactivity with existing outcome data from previous studies and ongoing cohorts.
Project 2: Air Pollutant Mixtures in Eastern Massachusetts: Spatial Multi-resolution Analysis of Trends, Effects of Modifiable Factors, Climate, and Particle-induced Mortality
The objective of Project 2 is to characterize historical air pollution in Eastern Massachusetts at a high spatial resolution and identify modifiable factors responsible for observed changes in PM2.5 mass, emissions, elemental profiles, and ground air temperature. Project 2 investigates within-region variability of pollutant mixtures; examines the impact of modifiable factors on air quality; and evaluates the effectiveness of source control policies. Project 2 has four specific objectives.
Objective 1 is to use a novel, multi-resolution spatial analysis based on wavelet decomposition of high-resolution (1x1 km) remote sensing data on PM2.5 mass and ground air temperature to identify daily regional, sub-regional (urban background) and locally generated variation in these fields. Objective 2 is to develop and apply spatiotemporal regression models to (a) quantify the impact of modifiable factors, including transportation, heating fuel use, energy, urban planning, PM2.5 emissions, population statistics, and policy interventions, on (i) sub-regional and local variation in PM2.5 mass and ground air temperature and (ii) high resolution local estimates of PM2.5 emissions; (b) identify locations in which these impacts are greatest; and (c) identify lag times between implementation of a given control strategy and decreases in PM2.5 emissions and mass. Objective 3 is to implement a novel multi-resolution correlation analysis to identify PM2.5 elemental profiles that vary at regional, sub-regional, and local scales, and apply spatiotemporal regression models to these profiles to identify modifiable factors driving urban background and local variability in PM2.5 composition. And Objective 4 is to use the spatial scale-specific (regional, sub-regional, and local) temporal variability in PM2.5 mass and the PM2.5 elemental profiles to identify source types (regional, urban background, or local) and the composition of their emissions driving pollution- induced mortality in Eastern Massachusetts. This project relies on existing remote-sensing satellite data, ambient monitoring data collected from numerous sampling campaigns (including the HSPH Boston Supersite daily samples collected since 1998 and samples from 600 locations), as well as new data collected from 2015-2018 in Eastern Massachusetts.
Project 3: Causal Estimates of Effects of Regional and National Pollution Mixtures on Health: Providing Tools for Policy Makers
The objective of Project 3 is to estimate the causal impact of changes in pollution concentrations and mixtures (annual averages and daily patterns), how they vary by modifiable factors, the causal impacts of AQI triggers, how climate change that occurred in the last 20 years has increased mortality due to pollution, how temperature modifies the effects of pollution mixtures, and how these effects change for exposures less than the ambient standards for PM2.5. Project 3 provides region-specific causal estimates of effects of pollution mixtures; provides causal estimates of the impact of modifiable factors; assesses the impact of climate change on mortality from air pollution using historic data, avoiding any dependence on the accuracy of climate models; and provides causal estimates of how changes in particular components of mixtures affect mortality, to guide region-specific policy decisions on air pollution. Project 3 has five specific objectives.
Objective 1 is to identify and estimate the causal effects of air pollution and mixtures on human health. We will use methods of causal inference to a) identify the causal effects of regional annual air pollution concentration fluctuations and temperature fluctuations during the last 16 years on human health; b) identify the causal effects of regional air pollution trends during the last 16 years; c) identify the causal effects of pollution mixtures, sources, and emissions on health; d) identify differences in these effects by modifiable factors; e) conduct a national risk assessment on the causal impact of past pollution on mortality, including the regional differences in concentration- response; and f) investigate the causal impact of AQI thresholds for PM2.5 and O3 due to behavioral adaptation. Objective 2 is to analyze relative acute toxicity of pollution mixtures. We will a) examine spatial (across regions) and temporal heterogeneity in the acute toxicity of pollution mixtures and emissions to understand which source types, atmospheric processes, and exposure factors influence the toxicity of regional mixtures and b) use causal mediation analysis to determine how much of the temperature effect on mortality is mediated by its effects of pollution concentrations, and how that varies regionally. This will allow us to obtain local- and region specific estimates of future health effects and the benefits of changes in modifiable factors and adaptation. Objective 3 is to estimate the excess deaths resulting from air pollutant concentration changes due to weather changes in the last 20 years. We will demonstrate the extent to which public health impacts of climate change through pollution have already occurred, by using causal estimates of C-R relationships. Regional health impacts will be assessed using region-specific mortality risks estimates from Objective 1. Objective 4 is to estimate the causal health effects of low-level air pollution exposure. Specifically, we will examine whether the observed effects at low pollutant levels are due to the synergistic effect of multiple pollutants (mixtures) present at low levels. And Objective 5 is to investigate air pollution-related health effects at high and low temperatures. We will examine this by region and determine whether populations, especially those that include sensitive individuals, adapt to abrupt temperature changes.
Project 4: A Causal Inference Framework to Support Policy Decisions by Evaluating the Effectiveness of Past Air Pollution Control Strategies for the Entire United States
The overall objective of Project 4 is to develop a new methodological framework rooted in principles of causal inference to investigate the effectiveness of specific control strategies on impacting the largest power-generating units in the United States. In Project 4, we combine state-of-the-art atmospheric modeling, causal inference methods, and national data sets to conduct accountability research; that is, research that characterizes causal effects of well-defined regulatory actions at power plants on: 1) emissions; 2) air quality across distant locations in accordance with atmospheric fate, transport, and other factors; and 3) health outcomes. Project 4 has 4 specific objectives.
Objective 1 is to develop a national database on emissions control technologies employed at a large number of power-generating units in the US linked with: continuous emissions monitoring, ambient air quality monitoring, weather, population demographics, and Medicare hospitalization and mortality outcomes for the period 1995 to 2015. Objective 2 is to estimate and compare the causal effects of past control strategies implemented at the largest power-generating facilities on SO2, NOx, CO2, and PM2.5 emissions and population exposure to criteria pollutants (PM2.5 and O3) for the entire US for the period 2000 to 2015. This requires integrating new statistical methods for causal inference with atmospheric chemistry models of how changes in emissions impact ambient exposures across distant locations in accordance with atmospheric fate, transport, and other factors. Objective 3 is to estimate the causal effects of past control strategies implemented at the largest power-generating facilities on mortality and morbidity in the entire US both locally and nationally, and compare the differential health impact of different control strategies. And Objective 4 is to develop approaches for mediation analysis that will quantify the extent to which causal effects of regulatory actions on health outcomes can be attributable to changes in targeted modifiable factors (e.g., emissions, targeted pollutants), as opposed to being driven by co-benefits to other factors.
Project 5: Projecting and Quantifying Future Changes in Socioeconomic Drivers of Air Pollution and its Health-Related Impacts
Project 5 investigates future changes in regional air pollution characteristics resulting from technological and societal changes. We will quantify the future implications of technologies and efficiency improvements in the energy and transportation sectors on regional differences in air pollution impacts. Selected case studies assess, inter alia, the environmental and health benefits of choices in state and regional carbon policy implementation relevant to recently proposed carbon dioxide emission reductions from the energy sector. We will examine the health-related benefits of reducing concentrations of ozone and particulate matter, as well as changing regional air pollution mixtures including air toxics.
Progress Summary:
Project 1: Regional Air Pollution: Mixtures Characterization, Emission Inventories, Pollutant Trends, and Climate Impacts
During Year 5 of the Center, as part of Project 1, we completed a series of 5 papers on exposures to non-tailpipe traffic-related emissions near roadways in the Greater Boston area. The focus of this work was the near road concentrations of metals and carbon fractions in ambient PM and road surface dust. Four of these papers were published as part of a specialty issue of the Journal of the Air & Waste Management Association, organized by Project 1 investigators. The fifth publication will appear in a subsequent issue. A 6th paper, a brief technical article on the quasi-ultrafine fraction of non-tailpipe PM emissions, is being submitted to JA&WMA.
Project 1 also supported a study on surveillance for SARS-CoV-2 RNA in indoor ambient PM outside of patient care areas at hospitals. The goal of the project was to (1) determine whether containment measures applied to patient care wards were successful at containing the virus, and determine, if virus was present, whether they were associated with coarse, fine, or large (>10 um) PM. Results from the initial study indicated that control measures were effective at containing the virus, and that prevalence of virus detection was highest in areas such as nursing work stations. Viral RNA was detected in samples at each size range. A first paper from this study has recently been accepted (Stern et al. 2021).
During Year 5, we finalized and published papers supporting Objective 3. In Requia et al. 2020, we found that weather changes over the last 30 years were associated with increased ambient concentration of most PM2.5 components in the U.S. The direction and magnitude of this impact, defined as the weather penalty, varied considerably over the region and season. Taken together, the weather penalty on some of the more toxic particulate pollutants highlights potential future challenges of regulating land use and air pollution sources. The evidence of historical weather penalty should be of interest to policy makers to devise future strategies related to environmental health and climate change, given that the weather trends observed in our study period are projected by climate prediction models to continue in the future.
In Fiffer et al. 2020, we examined the hypothesis that long-term reductions in PM2.5 mass and sulfur have influenced UFP trends by limiting the ability of UFPs to coagulate onto the accumulation mode via polydisperse coagulation with larger particles. Using data from our Supersite, one of the longest available time series of UFP concentrations (1999 to 2018), this study examined the hypothesis that long-term trends of PM2.5 mass and sulfur concentrations have an impact on UFP trends. We found that PM2.5 mass and sulfur reductions had a small but significant impact, i.e., penalty, on UFP trends. Improved understanding of the impact of PM2.5 mass and sulfur concentrations on UFP trends can inform future air quality control efforts.
During Year 5, in support of Objectives 3 and 4, we also finalized and published work on:
- Diagnosing spatial biases and uncertainties in global fire emissions inventories.
Models of atmospheric composition rely on fire emissions inventories to reconstruct and project impacts of biomass burning on air quality, public health, climate, ecosystem dynamics, and land- atmosphere exchanges. Many such global inventories use satellite measurements of active fires and/or burned area from the Moderate Resolution Imaging Spectroradiometer (MODIS). However, differences across inventories in the interpretation of satellite imagery, the emissions factors assumed for different components of smoke, and the adjustments made for small and obscured fires can result in large regional differences in fire emissions estimates across inventories. Using Google Earth Engine, we leverage 15 years (2003-2017) of MODIS observations and 6 years (2012-2017) of observations from the higher spatial resolution Visible Imaging Infrared Radiometer Suite (VIIRS) sensor to develop metrics to quantify five major sources of spatial bias or uncertainty in the inventories: (1) primary reliance on active fires versus burned area, (2) cloud/haze burden on the ability of satellites to “see” fires, (3) fragmentation of burned area, (4) roughness in topography, and (5) small fires, which are challenging to detect. Based on all these uncertainties, we devise comprehensive “relative fire confidence scores,” mapped globally at 0.25° x 0.25° spatial resolution over 2003-2017. We developed an online app called FIRECAM for end- users of global fire emissions inventories (https://globalfires.earthengine.app/view/firecam). The app diagnoses differences in emissions among the five inventories and gauges the relative uncertainty associated with satellite-observed fires on a regional basis. (Liu et al., 2020)
- Trends and spatial shifts in lightning fires and smoke concentrations in response to 21st century climate over the national forests and parks of the western United States.
Almost US$ 3 billion per year is appropriated for wildfire management on public land in the United States. Recent studies have suggested that ongoing climate change will lead to warmer and drier conditions in the western United States with a consequent increase in the number and size of wildfires, yet large uncertainty exists in these projections. To assess the influence of future changes in climate and land cover on lightning-caused wildfires in the national forests and parks of the western United States and the consequences of these fires on air quality, we link a dynamic vegetation model that includes a process-based representation of fire (LPJ-LMfire) to a global chemical transport model (GEOS-Chem). Under a scenario of moderate future climate change (RCP4.5), increasing lightning-caused wildfire enhances the burden of smoke fine particulate matter (PM), with mass concentration increases of ~53% by the late-21st century during the fire season in the national forests and parks of the western United States. In a high-emissions scenario (RCP8.5), smoke PM concentrations double by 2100. RCP8.5 also shows enhanced lightning- caused fire activity, especially over forests in the northern states. (Li et al., 2020)
- Global importance of hydroxymethanesulfonate in ambient particulate matter: Implications for air quality.
Sulfur compounds are an important constituent of particulate matter, with impacts on climate and public health. While most sulfur observed in particulate matter has been assumed to be sulfate, laboratory experiments reveal that hydroxymethanesulfonate (HMS), an adduct formed by aqueous phase chemical reaction of dissolved HCHO and SO2, may be easily misinterpreted in measurements as sulfate. Here we present observational and modeling evidence for a ubiquitous global presence of HMS. We find that filter samples collected in Shijiazhuang, China, and examined with ion chromatography within 9 days show as much as 7.6 μg m-3 of HMS, while samples from Singapore examined 9-18 months after collection reveal ~0.6 μg m-3 of HMS. The Shijiazhuang samples show only minor traces of HMS four months later, suggesting that HMS had decomposed over time during sample storage. In contrast, the Singapore samples do not clearly show a decline in HMS concentration over two months of monitoring. Measurements from over 150 sites, primarily derived from the IMPROVE network across the United States, suggest the ubiquitous presence of HMS in at least trace amounts as much as 60 days after collection. The degree of possible HMS decomposition in the IMPROVE observations is unknown. Using the GEOS-Chem chemical transport model, we estimate that HMS may account for 10% of global particulate sulfur in continental surface air and over 25% in many polluted regions. Our results suggest that reducing emissions of HCHO and other volatile organic compounds may have a co- benefit of decreasing particulate sulfur. (Moch et al., 2020)
- Response of dust emissions in southwestern North America to 21st century trends in climate, CO2 fertilization, and land use.
Climate models predict a shift toward warmer and drier environments in southwestern North America. The consequences of such a shift for dust mobilization and dust concentration are unknown, but they could have large implications for human health, given the connections between dust inhalation and disease. For this project, we link a dynamic vegetation model (LPJ-LMfire) to a chemical transport model (GEOSChem) to assess the impacts of future changes in three factors – climate, CO2 fertilization, and land use practices – on vegetation in this region. From there, we investigate the impacts of changing vegetation on dust mobilization and assess the net effect on fine dust concentration (defined as dust particles less than 2.5 μm in diameter) on surface air quality. In the most extreme warming scenario (RCP8.5), we find that surface temperatures in southwestern North America during the season of greatest dust emissions (March April, May) warm by 3.3 K and precipitation decreases by nearly 40% by 2100. These conditions lead to vegetation dieback and an increase in dust-producing bare ground. Enhanced CO2 fertilization, however, offsets the modeled effects of warming temperatures and rainfall deficit on vegetation in some areas of the southwestern United States. Considering all three factors in RCP8.5 scenario, dust concentrations decrease over Arizona and New Mexico in spring by the late 21st century due to greater CO2 fertilization and a more densely vegetated environment, which inhibits dust mobilization. Along Mexico's northern border, dust concentrations increase as a result of land use intensification. In contrast, when CO2 fertilization is not considered in the RCP8.5 scenario, vegetation cover declines significantly across most of the domain by 2100, leading to widespread increases in fine dust concentrations, especially in southeastern New Mexico (up to ~2.0 µg m-3 relative to the present day) and along the border between New Mexico and Mexico (up to ~2.5 µg m-3). Our results have implications for human health, especially for the health of the indigenous people who make up a large percentage of the population in this region. (Li et al., accepted as of December 1, 2020)
In addition, our research on Objective 5, particle radioactivity and radon exposures and their health effects, continued to grow during Year 5. These studies have involved investigators from Project 1 and other center projects. Our productivity is reflected by the 13 new accepted papers on this topic we have included in our publication list. In addition, we have submitted several additional manuscripts for publication, which are currently under review or revision. Our recent studies show that particle radioactivity is an important property of PM that contributes to its toxicity. In these recent studies, PM radioactivity exposures have been found to be associated with inflammation and endothelial function (Blomberg et al. 2020b); biomarkers of oxidative stress (Huang et al. 2020a); cardiovascular mortality (Huang et al. 2020b); gestational diabetes (Papatheodorou et al. 2020a); ventricular arrythmia (Perralta et al. 2020); and reduced hemoglobin concentration (Vieira et al. 2020).
We have continued to measure particle gross alpha and beta activities from already collected filters samples from our Harvard Supersite and indoor studies. This will make it possible to examine spatiotemporal patterns of ambient particle radioactivity levels and indoor-outdoor relationships. Recent papers by Blomberg et al. (2020a) and Liu et al. (2020) showed that PM gross alpha and beta activity measured on retrospective samples collected at our Supersite were strongly correlated with beta activities measured at RadNet sites in the Boston area. These studies also found that several meteorological variables including temperature, humidity, barometric pressure, precipitation, wind speed, and PBL height were significant predictors of PM alpha activity, while PM beta was influenced by temperature, humidity and wind speed. Both PM alpha and beta activities were influenced by 72-hour back trajectory. We have also continued our research into the origins and sources of ambient PM radioactivity. In Kang et al. 2020, we found that indoor PM radioactivity is associated with radon, but the majority of PM radioactivity is from long lived radon progeny and originate outdoors. In Li et al. 2020, we found that UOGD (unconventional oil and gas development, “fracking”) is a significant contributor to PM radioactivity downwind of UOGD wells.
We have developed spatiotemporal models to predict monthly PM radioactivity, using ensembled data learning machines that incorporate RadNet concentrations, meteorological and geological parameters and air pollution data to assess PM beta activity exposures nationally; a paper by Li et al. is currently under revision. These predictions will be used by other Center projects to assess the effects of PM radioactivity exposures on mortality and perinatal, cardiovascular and respiratory health.
We have continued acquiring additional Radon exposure data. For example, we have received over half a million indoor radon measurements conducted in the basements of Massachusetts homes, as well as additional measurements from other states. We have used the New England data set in a recent study by Papatheodorou et al. (2020b), which found that residential radon exposures were associated with increased risks of hypertensive disorders during pregnancy.
We have used the New England data set to identify predictors of radon indoor exposures and develop a radon exposure prediction model; a paper by Li et al. is currently under review. We will make these data and our model results available to investigate the effects of radon as we presented above for particle radioactivity.
During Year 5, Project 1 researchers concluded a collaborative study with Michelle Bell (Yale University, SEARCH Center), resulting in a publication (Woo et al., 2020). This study was focused on air pollution from wildfires and human health vulnerability in Alaskan communities under climate change. Also during Year 5, Project 1 researchers have undertaken an additional collaborative study with Michelle Bell (Yale University, SEARCH Center) on the direct and indirect effects of solar activity on health outcomes. Preliminary findings indicate that solar activity may modify or mediate health effects of PM exposure; this work will continue during Year 6.
Project 2: Air Pollutant Mixtures in Eastern Massachusetts: Spatial Multi-resolution Analysis of Trends, Effects of Modifiable Factors, Climate, and Particle-induced Mortality
In addition to the papers published during the project period, Project 2 investigators made significant progress on multiple fronts, including methods for rigorous uncertainty quantification associated with machine learning predictions of spatio-temporal exposures popular in air pollution epidemiology and the quantification of health impacts of air pollution and climate exposures in the New England region. In health effects analyses we focused primarily on early life outcomes and exposures. This work includes the following:
An emerging technique in air pollution exposure assessment is to ensemble several competing exposure prediction models. We introduced a new Bayesian nonparametric ensemble framework that adaptively combines models based on their predictive accuracy in the over space and time and also nonparametrically models the ensemble's predictive cumulative density function (CDF) so that the model's quantification of the predictive uncertainty is consistent with observed data. We showed the model can improve upon the predictive performance of an ensemble model with naive distribution assumptions when the data distribution is complex. We applied the method to data simulated from one- and two-dimensional complex nonlinear regression models, and generated a spatial prediction model and estimated the associated prediction uncertainties for fine particle levels in eastern Massachusetts, USA. A manuscript is being distributed among co-authors prior to submission for publication.
Using the Boston, Massachusetts-area Project Viva cohort recruited between 1999 and 2002, we examined the association of hypertensive disorders of pregnancy (gestational hypertension and pre-eclampsia) with temperature and relative humidity. We estimated that pre-eclampsia was significantly positively associated with relative humidity in weeks 14-20, or the first half of the second trimester (odds ratio per IQR increase: 1.85 [95% CI: 1.04, 3.27]). Distributed lag modeling confirmed this exposure window, finding a positive association between relative humidity and pre- eclampsia from weeks 13 to 21. Temperature was not significantly associated with pre-eclampsia, and neither temperature nor relative humidity were significantly associated with gestational hypertension. Our findings suggest that exposure to increased relative humidity in the beginning of the second trimester may be causing the seasonal trends seen in pre-eclampsia incidence. A manuscript describing these findings is being distributed among co-authors.
We developed scalable Gaussian Process Regression for Estimating Health Effects of air pollution mixtures. This work was motivated because the popular Bayesian kernel machine regression (BKMR) approach for estimating the health effects of an environmental mixture was originally motivated by the need to estimate effects in small to moderately sized cohort studies. Accordingly, the algorithms for model fitting do not scale up well in big data settings, such as those encountered when interest focuses on electronic health records or other administrative data. We scaled up BKMR and Gaussian process regression more generally to settings involving hundreds of thousands to millions of records. We applied the new approach to estimate associations between a mixture of ambient air pollutants and approximately 650,000 birthweights recorded in Massachusetts, USA during 2001-2012.
We examined which elemental components of PM2.5 are responsible for previously reported associations between PM2.5 and neonatal BP in 1131 mother-infant pairs in Project Viva, a Boston-area prebirth cohort. We measured systolic BP (SBP) and diastolic BP (DBP) at a mean age of 30 hours. We calculated average exposures during the 2 to 7 days before birth for the PM2.5 components-aluminum, arsenic, bromine, sulfur, copper, iron, zinc, nickel, vanadium, titanium, magnesium, potassium, silicon, sodium, chlorine, calcium, and lead-measured at the Harvard supersite. Our findings suggest that prenatal exposures to particulate matter components, and particularly nickel, may increase newborn BP. This paper was published in Journal of the American Heart Association after the funding year ended.
There exists keen interest on the biologic mechanisms of the health effects of prenatal exposure to fine particulate matter (PM2.5) on birth and early life outcomes. One particular mechanism receiving keen interest is the alteration of epigenetic traits such as DNA methylation. We proposed a cluster based Sparse Canonical Correlation Analysis (sCCA) to test associations between a multi-pollutant mixture and high-dimensional DNA methylation. Through simulation studies, we show that the proposed method yields greater efficiency relative to existing methods. We applied the proposed methods to data from the pre-birth Project Viva cohort, and showed that Ni and Vi, both generated by oil combustion courses, are PM2.5 components most consistently associated with differentially methylated regions. A manuscript describing these results is in preparation.
We presented the first study that aims to identify prenatal windows of susceptibility to air pollution exposures in cord blood DNA methylation. In particular, we propose a function-on- function regression model that leverages data from nearby DNA methylation probes to identify epigenetic regions that exhibit windows of susceptibility to PM2:5. By incorporating the covariance structure among both the multivariate DNA methylation outcome and the time- varying exposure under study, this framework yields greater power to detect windows of susceptibility and greater control of false discoveries than methods that model probes independently. We applied the method to analyze the DNA methylation data from the Project Viva birth cohort, and identified a window of susceptibility to PM2:5 exposure in the middle of the third trimester of pregnancy in an epigenetic region selected based on prior studies of air pollution effects on epigenome-wide methylation. This paper is accepted for publication by the Annals of Applied Statistics.
Project 3: Causal Estimates of Effects of Regional and National Pollution Mixtures on Health: Providing Tools for Policy Makers
Year 5 has been a productive reporting period for Project 3. We continued our efforts in causal modeling, effects of acute and chronic exposures, and spatiotemporal modeling.
In Danesh Yazdi et al. 2021 we expanded on causal modeling by fitting a doubly robust additive model to estimate the effects of long term exposure to PM2.5, NO2, and O3 on hospital admission rates for heart disease, stroke, and respiratory disease. We found annual PM2.5 increased admissions for all of the studied causes, with some associated with O3 and NO2. In another causal model, Schwartz 2021 reported a significant association of PM2.5 and mortality using a difference in differences approach that controls for unmeasured confounders. In another causal modelling approach (Schwartz 2021b) we used propensity scores for each year of age to estimate the effect of PM3.5, NO2, and O3 on the distribution of life expectancy, showing that most of the PM2.5 associated early deaths were occurring between ages 65-75. In Wu et al 2020 we used multiple causal and non-causal methods to show that PM2.5 was associated with increased mortality rates, with results robust to method. In Shi et al 2020, we reported associations of long term PM25 exposure and hospital admissions for neurological disorders. In Yitshak-Sade 2021 we reported effects of PM2.5 on hospital admissions of people with dementia. In another EPA collaboration, Ward-Caviness 2020 published an association of PM2.5 with mortality in patients with heart failure.
Regarding acute exposures and environmental justice, DeSouza reported that short-term exposure to PM2.5 was associated with heart disease admissions in persons on Medicaid. Wei et al 2020 used causal propensity score methods to simultaneously examine the acute and chronic effects of PM2.5, O3, and NO2 on mortality in Massachusetts. In Qui 2020 we fit unconstrained distributed lag models for PM2.5 and O3 using propensity score methods to examine the effects on CVD hospital admissions.
In Peralta et al, 2021a,b we found that PM2.5 and some particle metals were associated with prolonged QT intervals in the Normative Aging Study. In another study of pathways, Nassan et al 2021 reported that air pollution was associated with significant changes in the Metabolome. Also, in Cserbik 2020 we showed that PM2.5 was associated with sex and hemisphere specific changes in brain structure in adolescents. In Wang, 2020 we found that PM2.5 was associated with a DNA methylation based measure of biological aging.
In Qiu 2020 we reported an association of PM2.5 exposure with changes in the distribution of gestational age using quantile regression.
In Zhang et al, 2021, in collaboration with EPA we reported an association between PM2.5 and myocardial injury.
In Kelly 2020, a collaboration with EPA, we compared predictions from our PM2.5 model with other PM2.5 models. In Requia 2020 we reported our new O3 model, with an out of sample R2 of 0.90. In Di 2020 we published a new national model for NO2 pollution.
Project 3 researchers have engaged in collaborative research with EPA during Year 5. In Zhang et al, 2021, in collaboration with EPA we reported an association between PM2.5 and myocardial injury. In Kelly 2020, a collaboration with EPA, we compared predictions from our PM2.5 model with other PM2.5 models. In another EPA collaboration, Ward-Caviness 2020 published an association of PM2.5 with mortality in patients with heart failure.
Project 4: A Causal Inference Framework to Support Policy Decisions by Evaluating the Effectiveness of Past Air Pollution Control Strategies for the Entire United States
Year 5 has seen considerable progress towards objectives 2, 3, and 4 with development across three overlapping domains: 1) reduced-complexity models, 2) statistical methods for causal inference, and 3) epidemiological studies. Several key studies are highlighted here.
Domain 1: Reduced-Complexity Models. The refinement and application of the reduced- complexity HyADS modeling approach has progressed with publications continuing to validate the HyADS modeling outputs and deploying the model in new use cases. In particular, Henneman et al 2020 compares HyADS outputs with GEOS-Chem Adjoint modeling and simplistic inverse- distance calculations to characterize how well each method characterizes population exposure to individual point source emissions. An epidemiological study in Casey et al 2020 uses HyADS to quantify within-county exposures to energy transitions at four power plants in and around Louisville, KY, and ultimately document evidence of the impact of these transitions on asthma outcomes. Henneman et al 2019 investigates the use of HyADS for parsing emissions exposure impacts attributable to emissions changes vs. wind changes following energy transitions. As we have continued to build confidence in HyADS for modeling coal source impacts, we have also embarked on long-term (~20 years) worth of simulations of HyADS exposures, which will anchor future work on evaluating the effects of policies and emissions reductions at coal plants.
Domain 2: Statistical Methods for Causal Inference. We have continued to develop novel methodologies for causal inference, with particular focus on network interference, causal mediation analysis, and machine learning. Liao et al (2020) considers new methods for accounting for uncertainty in propensity score matching, stratification, and weighting, all in the context of evaluating causal effects of elevated coal power plant emissions on ambient fine particulates. Kim et al (2020) deploys new methods for principal stratification and causal mediation analysis to estimate the extent to which health benefits of reducing coal emissions are mediated through ambient fine particulate matter, representing a key combination of HyADS model outputs and modern methods for causal mediation analysis. Zigler and Papadogeorgou (2021) establishes a novel framework and methodology for bipartite causal inference with interference, which is specifically tailored to evaluating interventions at point sources (e.g., power plants) for their effects at (possibly distant) population locations. Nethery et al (2020) deploys machine learning methodology to estimate causal effects of 1990 clean air act amendments. Papadogeorgou and Dominici (2020) offers Bayesian nonparametric methods for causal exposure-response function estimation. All of the above works should be regarded as contributions to statistical methodology holding relevance beyond just the motivating problems in air pollution and power plant policy and epidemiology.
Domain 3: Epidemiological Studies. In addition the the papers mentioned above, all of which have an epidemiological component, work in Wu et al (2020a) deploys several generalized propensity score analysis alongside traditional Cox proportional hazards regression to estimate causal effects of long-term exposure to fine particulates on elderly mortality, including a sub-analysis focusing specifically on populations exposed to low levels. Carone et al (2020) offers a commentary on the role of causality in air pollution epidemiology. Wu et al (2020b) evaluates the link between air pollution and COIVD-19 mortality in the United States.
After completion of her Ph.D. under the direction of CACES center investigator Joshua Apte, Sarah Chambliss has joined the Harvard/MIT ACE Center as a postdoctoral fellow working with Dr. Zigler. Dr. Chambliss has begun her role as a conduit between these two centers, with budding collaborations in the deployment of InMAP for environmental justice and health disparities research specific to particular source categories (including power plants) and the use of high-resolution mobile monitoring for establishing intraurban air pollution.
Project 5: Projecting and Quantifying Future Changes in Socioeconomic Drivers of Air Pollution and its Health-Related Impacts
Work in Project 5 during year 5 was focused on three areas: model development for future impact estimation (Objectives 1, 4, and 5); power generation and electrification (Objectives 2, 3, and 4); and model improvement through understanding observed trends (Objective 1). Progress in the first area has centered on the development and application of the GCHP-CAM high-fidelity integrated assessment model. This project allows us to perform flexible, forward-looking analyses of the changes in regional air pollution mixtures across the US over the rest of the 21st century. Following the successful benchmarking efforts of year 4, we incorporated several improvements to this framework including: a consistent approach for methane emissions; derivation of a volcanic climatology to ensure realistic background sulfur; and a realistic biogenic emissions response to both climate change and CO2 concentrations. The remaining work in this area has been focused on applications of the framework. The results of an initial simulation set were presented at the AGU 2020 Fall Meeting, and we are now developing a set of sensitivity simulations to quantify how climate change will modify the achievability of future regulatory targets for air quality. We are also using the modeling framework to quantify the “time of emergence” for climate change-induced changes in ozone, a target which was identified in prior years but which was not prioritized during this year’s work.
The second area of work in year 5 has been in the area of power generation and electrification. We have continued work on the quantification of air quality tradeoffs and benefits associated with recent, proposed, and potential US environmental legislation. This goal has been served by progress in two sub-projects. In the first, we have estimated the air quality impacts which would result from nuclear power plant phaseout using the limiting case of an immediate, nationwide shutdown. This work uses an energy grid optimization model to estimate changes in power generation emissions, with the resulting air quality impacts calculated using the GEOS-Chem air quality model.
Over the past year we have finalized development and evaluation of the energy grid optimization model. To provide a realistic baseline, we have collaborated this year with EPA scientists to incorporate the latest National Emissions Inventory (NEI) into GEOS-Chem. Using this baseline, we have now begun to quantify the effect of a full nuclear shutdown on concentrations of fine particulate matter and ozone across the United States, including consequential health impacts. We also incorporated the climate impacts of a total shutdown by quantifying the associated change in CO2 emissions. We are now at the stage of final model simulation, and expect to submit a manuscript on this work within the coming year.
Within the same conceptual area, we have made progress on an investigation of the potential air quality and climate benefits of heavy freight electrification. We have identified a set of plausible freight corridors for electrification, including traffic data which can be used to assess energy needs. Charging strategies have also been identified. Further progress has been delayed due to the graduation of the lead student in mid-2020, but a new student has now agreed to take over this work.
We have also completed technical work on our project evaluating the impacts of wind power development on power sector emissions and air quality in the US. Building on previous work, we further evaluated how the impacts of wind power on air quality and human health change differentially across different demographic groups (racial groups, income groups, etc.). The manuscript is in the final stages of preparation.
Finally, the third work are has been on developing an improved understanding of observed trends to facilitate more accurate modeling. We finished our analysis on evaluating the ability of different statistical and machine learning model to correct for meteorological variability. Using GEOS- Chem simulations to provide both “observed” and “counterfactual” scenarios, we showed that common approaches such as multiple linear regression and generalized additive models do not perform well in correcting for metrological variability. We designed a machine learning model that uses both local and synoptic scale meteorological features which can significantly reduce the estimation bias. We are currently writing a manuscript based on the analysis.
An opportunity was also identified to use observations of changes in air quality during COVID- 19-related lockdowns to better understand the atmospheric chemistry of future air pollution mixtures. We analyzed satellite and monitor observations for each state as well as several other regions across the world to quantify changes in fine particulate matter (PM2.5), ozone, and NO2 exposure which resulted from lockdowns. Unlike prior (and subsequent) analyses, we leveraged time-series analysis with an ARIMA model to produce a counterfactual air pollution concentration which accounted for seasonal variability in each location. This allowed us to quantify the relationship between NO2, ozone, and VOCs under unusual conditions, and thereby better understand the consequences of future changes in emissions. A manuscript resulting from this work is now under review.
We have an ongoing collaboration with the EPA Center for Air, Climate, and Energy Solutions (CACES). We are working with Inês Azevedo (Stanford University) on quantifying tradeoffs between air quality and climate outcomes associated with proposed carbon taxes.
Future Activities:
Project 1: Regional Air Pollution: Mixtures Characterization, Emission Inventories, Pollutant Trends, and Climate Impacts
We will continue our current research in Objectives 3 and 4, related to the smoke impacts on air quality in the United States. The goal is to develop machine learning methods to better track smoke plume imagery in GOES satellite data. The NOAA Hazard Mapping System (HMS) provides near- real time maps of smoke plume outlines and density across North America. Together with satellite information on fire locations, the HMS smoke product is used in making daily air quality predictions for regions close to or downwind of fires. HMS relies on human analysts to detect smoke plumes in satellite imagery, which can be especially challenging in cloudy regions or regions experiencing heavy loading of dust or anthropogenic aerosols. We are currently developing machine learning algorithms that can efficiently track smoke in the satellite imagery, leading to continuous and potentially more accurate monitoring of the smoke impact on air quality.
During Year 6, we will also continue our work on all facets of Objective 5. This will include:
- Continuing to measure particle gross alpha and beta activities from archived filters samples from our Harvard supersite and indoor studies. This will make it possible to examine spatiotemporal patterns of ambient particle radioactivity levels and indoor outdoor relationships.
- Finalizing and publishing our spatiotemporal models for radon (Greater Boston) and PM beta activity (national) exposures. These predictions will be used by other Center projects to assess the effects of PM radioactivity exposures on mortality and perinatal, cardiovascular and respiratory health in various cohorts.
- Investigating and acquiring additional sources of radon and PM radioactivity exposure data.
- Continuing to investigate predictors of radon indoor exposures.
- Continuing to investigate effects of solar activity and solar/cosmic radiation on health, and on PM radioactivity. In particular, we will continue to investigate the hypothesis that solar activity may mediate or modify the effects of ambient PM on health.
Project 2: Air Pollutant Mixtures in Eastern Massachusetts: Spatial Multi-resolution Analysis of Trends, Effects of Modifiable Factors, Climate, and Particle-induced Mortality
Project 2 investigators have four main priorities for the remainder of the current funding year and the proposed no-cost extension year. These are: (1) to scale the fast mixtures methods that we developed for 600,000 birthweights to national analysis of mortality effects of air pollution mixtures. This type of analysis would not be possible with existing methods. (2) to analyze inthe uncertainty associated with the latest predictions from air pollution spatio-temporal ensemble models across the nation, identifying factors over space and time that are most associated with uncertain exposure estimates. (3) to incorporate these uncertainties in the resulting health effects analyses that use these exposure estimates in the models, and (4) to incorporate the particle radioactivity measures generated in Project 1 of this center into the air pollution mixtures analyses developed as part of this Project 2.
Project 3: Causal Estimates of Effects of Regional and National Pollution Mixtures on Health: Providing Tools for Policy Makers
During Year 5, more work on causal modeling, looking at non-Medicare populations, and at microRNA as a mediatory are planned. We will also update our exposure models for PM2.5, O3, and NO2, and complete our models for PM2.5 components.
Project 4: A Causal Inference Framework to Support Policy Decisions by Evaluating the Effectiveness of Past Air Pollution Control Strategies for the Entire United States
In the reduced-complexity model domain, future activities will make use of our recently completed long-term HyADS simulations, which characterize individual EGU contributions to air quality for the entire United States over a ~20 year period. We expect these simulations to anchor some landmark work on the health impacts of coal emissions reductions. We are also exploring the use of other reduced-complexity modeling ideas to model other types of sources, including HyADS for characterizing NOx emission exposures, as well as finding road- network proxies for exposure to traffic related air pollution reductions over long scales spanning important regulatory changes.
In the statistical methodology domain, future work will extend the bipartite causal inference framework to provide a more realistic account of air pollution transport. For example, we are near completion of a generalized propensity score approach for network interference to accommodate general interference structures specified, in this instance, with HyADS. We are also exploring other statistical approaches to model air pollution transport, including ideas rooted in stochastic differential equations approximating advection and diffusion, large scale regularized spatial regression, and recurrent neural networks. The ultimate goal of these works it to acknowledge temporal variability and uncertainty in long-range pollution transport when estimating causal effects with interference.
In the epidemiological domain, we will continue to conduct long-term epidemiological studies using the Medicare cohort, with a particular focus on exposures specific to power plant emissions and exposures to fine particulates below the ambient standards. In addition, we expect to expand a new area of focus on health disparities and environmental justice through orienting our reduced- complexity modeling efforts towards establishing source-specific exposure disparities (in collaboration with CACES researchers).
Project 5: Projecting and Quantifying Future Changes in Socioeconomic Drivers of Air Pollution and its Health-Related Impacts
Several sub-projects are expected to be completed within the coming year. In addition to completing our planned work on a rational framework for air quality management in the context of climate change, as quantified using the GCHP-CAM model, we expect to produce a quantitative estimate of the time of emergence for climate change-induced ozone and particulate matter changes in the 2000-2100 period. For both sub-projects, we intend to extend our approach to provide an environmental justice perspective. Once these simulations are complete, we will make the underlying meteorological and air quality data publicly available to better support community efforts in this area. This supports Objectives 1, 2, 4, and 5 of the project. We also expect to complete work, and submit a manuscript, on evaluation of the effects of a nuclear shutdown, supporting Objectives 2 and 4.
We expect that, within the coming year, we will be able to make significant progress in our work on freight electrification. With a new student now assigned to this project, we expect to produce estimates of on-road and electrical-grid emissions under four different scenarios: “no electrification”, “pure battery-electric”, “battery-catenary”, and “diesel-catenary”. These emissions datasets will be used to drive air quality simulations with the GEOS-Chem regional air quality model, ultimately enabling a monetized estimate of climate and air quality tradeoffs associated with freight electrification. This work supports Objective 2.
We will continue work on the project using statistical and machine learning methods to correct for meteorology variability. We will apply our methods to ground monitor data and further investigate regional differences in the identified relationships across the US. We will also quantify the remaining bias of our machine learning methods in order to illustrate potential new directions of method development, supporting Objectives 1 and 5.
A goal which remains from last year is to intensify our collaboration with project 1. The intended comparison of estimates for 2000-2015 using CAM meteorology against project 1’s simulations using MERRA-2 reanalysis meteorology was delayed due to changes in priority, but is expected to be completed in the coming year as part of the time of emergence analysis mentioned above. This comparison will allow bias quantification for the estimates of future PM concentration under the existing CAM scenarios. These cross-project collaborations will improve outcomes for Objectives 1, 4, and 5.
Finally, a prior goal of completing a manuscript based on the project investigating air quality and CO2 trade-offs of carbon pricing was delayed over the past year. We expect to complete this project in year 5, supporting Objective 3.
Journal Articles: 306 Displayed | Download in RIS Format
Other center views: | All 329 publications | 307 publications in selected types | All 306 journal articles |
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Abu Awad Y, Koutrakis P, Coull BA, Schwartz J. A spatio-temporal prediction model based on support vector machine regression: ambient black carbon in three New England states. Environmental Research 2017;159:427-434. |
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Achilleos S, Kioumourtzoglou M-A, Wu C-D, Schwartz JD, Koutrakis P, Papatheodorou SI. Acute effects of fine particulate matter constituents on mortality: a systematic review and meta-regression analysis. Environment International 2017;109:89-100. |
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Alahmad B, Khraishah H, Shakarchi A, Albaghdadi M, Koutrakis P, Petros J, Farouc A. Cardiovascular Mortality and Exposure to Heat in an Inherently Hot Region Implications for Climate Change. AHA Journals 2020;141(15):1271-1273 AB-. |
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Alahmad B, Shakarchi A, Khraishah H, Alseadidan M, Gasana J, Al-Hemoud A, Koutrakis P, Fox M. Extreme temperatures and mortality in Kuwait:Who is vulnerable?. SCIENCE OF THE TOTAL ENVIRONMENT 2020;732(139289). |
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Alahmad B, Vicedo-Cabrera A, Chen K, Garshick E, Bernstein A. Climate change and health in Kuwait:temperature and mortality projections under different climatic scenarios. ENVIRONMENTAL RESEARCH LETTERS 2022;17(7):074001. |
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Alahmad B, Khraishah H, Roye D, Vicedo-Cabrera AM, Guo YM, Papatheodorou SI, Achilleos S, Acquattoa F, Abrmstrong B, Bell ML. Associations Between Extreme Temperatures and Cardiovascular Cause-Specific Mortality:Results From 27 Countries. CIRCULATION 2022;147(1):35-46. |
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Alahmad B, Ali H, Alwadi Y, Al-Hemoud A, Koutrakis P, Al-Mulla F. Combined impact of heat and dust on diabetes hospitalization in Kuwait. BMJ OPEN DIABETES RESEARCH & CARE 2024;12(4):1-7 |
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Alhamad B, AL-Hemoud A, Al-Bouwarthan M, Kharishah H, Kamel M, Akrouf Q, Wegman D, Bernstein A, Koutrakis P. Extreme heat and work injuries in Kuwait's hot summers. OCCUPATIONAL AND ENVIRONMENTAL MEDICINE 2023;80(6):347-352. |
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Anand K, Vieira C, Garshick E, Wang V, Bomberg A, Gold D, Schwartz J, Vokonas P, Koutrakis P. Solar and geomagnetic activity reduces pulmonary function and enhances particulate pollution effects. SCIENCE OF THE TOTAL ENVIRONMENT 2022;838(3):156434. |
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Antonelli J, Zigler C, Dominici F. Guided Bayesian imputation to adjust for confounding when combining heterogeneous data sources in comparative effectiveness research. Biostatistics 2017;18(3):553-568. |
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Antonelli, J., Schwartz, J., Kloog, I., & Coull, B. A. Spatial multiresolution analysis of the effect of PM2.5 on birth weights. The Annals of Applied Statistics. 2017:11(2);792-807. |
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Antonelli J, Papadogeorgou G, Dominici F. Causal inference in high dimensions:A marriage between Bayesian modeling and good frequentist properties. BIOMETRICS 2022;78(1):100-114. |
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Awad YA, Di Q, Wang Y, Choirat C, Coull BA, Zanobetti A, Schwartz J. Change in PM2.5 exposure and mortality among Medicare recipients:combining a semi-randomized approach and inverse probability weights in a low exposure population. Environmental Epidemiology 2019;3(4):e054. |
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Bhaskar A, Chandra J, Hashemi H, Butler K, Bennett L, Cellini J, Braun D, Dominici F. A Literature Review of the Effects of Air Pollution on COVID-19 Health Outcomes Worldwide: Statistical Challenges and Data Visualization. ANNUAL REVIEW OF PUBLIC HEALTH 2023;44:1-20 |
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Blomberg A, Nyhan M, Bind M, Vokonas P, Coull B, Schwartz J, Koutrakis P. The Role of Ambient Particle Radioactivity in Inflammation and Endothelial Function in an Elderly Cohort. EPIDEMIOLOGY 2020;31(4):499-508. |
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Blomberg A, Li L, Schwartz J, Coull B, Koutrakis P. Exposure to Particle Beta Radiation in Greater Massachusetts and Factors Influencing Its Spatial and Temporal Variability. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2020;54(11):6575-6583. |
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Bobb JF, Ho KKL, Yeh RW, Harrington L, Zai A, Liao KP, Dominici F. Time-Course of Cause-Specific Hospital Admissions During Snowstorms: An Analysis of Electronic Medical Records From Major Hospitals in Boston, Massachusetts. American Journal of Epidemiology 2017;185(4):283-294. |
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Braun D, Gorfine M, Parmigiani G, Arvold ND, Dominici F, Zigler C.Propensity scores with misclassified treatment assignment: a likelihood-based adjustment.Biostatistics2017;18(4):695-710. |
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Brunst KJ, Sanchez-Guerra M, Chiu YH, Wilson A, Coull BA, Kloog I, Schwartz J, Brennan KJ, Enlow MB, Wright RO, Baccarelli AA. Prenatal particulate matter exposure and mitochondrial dysfunction at the maternal-fetal interface:effect modification by maternal lifetime trauma and child sex. Environment international 2018;112:49-58. |
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Burnor E, Cserbik D, Cotter D, Palmer C, Ahmad H, Eckel S, Berhane K, McConnell R, Chen J, Schwartz J, Jackson R, Hertling M. Association of Outdoor Ambient Fine Particulate Matter With Intracellular White Matter Microstructural Properties Among Children. JAMA NETWORK OPEN 2021;4(12). |
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Busenkell E, Collins C, Moy M, Hart J, Grady S, Coull B, Schwartz J, Koutrakis P, Harshick E. Modification of associations between indoor particulate matter and systemic inflammation in individuals with COPD. ENVIRONMENT RESEARCH 2022;209(112802). |
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Carrion-Matta A, Kang C, Gaffin J, Hauptmat M, Phipatankakul W, Koutrakis P, Gold D. Classroom indoor PM2.5 sources and exposures in inner-city schools. ENVIRONMENT INTERNATIONAL 2019;131. |
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Carrion-Matta A, Lawrence J, Kang C, Wolfson J, Li L, Vieira C, Schwartz J, Demokritou P, Koutrakis P. Predictors of indoor radon levels in the Midwest United States. JOURNAL OF THE AIR & WASTE MAMAGEMENT ASSOCIATION (1995) 2021;71(12):1515-1528. |
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Carter S, Rahman M, Lin J, Shu Y, Chow T, Martinez M, Eckel S, Chen J, Chen Z, Schwartz J, Pavlovic N, Lurmann F, McConnell R, Ziang A. In utero exposure to near-roadway air pollution and autism spectrum disorder in children. ENVIRONMENTAL INTERNATIONAL 2022;158(106898). |
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Carter S, Rahman M, Lin J, Chow T, Yu X, Martinez M, Levitt P, Chen S, Chen J, Eckel S, Schwartz J, Lurmann F, Kleeman M, McConnell R, Xiang A. Maternal exposure to aircraft emitted ultrafine particles during pregnancy and likelihood of ASD in children. ENVIRONMENT INTERNATIONAL 2023;178(108061) |
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Casey J, Su J, Henneman L, Zigler C, Neophytou A, Catalano R, Gondalia R, Chen Y, Kaye L, Moyer S, Combs V, Simrall G, Smith T, Sublett J, Barrett M. Coal-fired power plant closures and retrofits reduce asthma morbidity in the local population. NATURE ENERGY 2020;5(5):365-366. |
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Casey J, Su J, Henneman L, Zigler C, Neophytou A, Catalano R, Gondalia R, Chen Y, Kaye L, Moyer S, Combs V, Simrall G, Smith T, Sublett J, Barrett M. Improved asthma outcomes observed in the vicinity of coal power plant retirement, retrofit and conversion to natural gas. NATURE ENERGY 2020;5(5):398. |
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Castillo M, Wagner J, Casuccio G, West R, Freedman F, Eisl H, Wang Z, Yip J, Kinney P. Field testing a low-cost passive aerosol sampler for long-term measurement of ambient PM2.5 concentrations and particle composition. ATMOSPHERIC ENVIRONMENT 2019;216:116905. |
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Catalano S, Moyer J, Weaver A, Di Q, Schwartz J, Catalano M, War-Caviness C. Associations between long-term fine particulate matter exposure and hospital procedures in heart failure patients. PLOS ONE 2023;18(5) |
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Cefalu M, Dominici F, Arvold N, Parmigiani G. Model averaged double robust estimation. Biometrics 2017;73(2):410-421. |
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Chen K, Algan M, Purcell A, Nurhussien L, Koutrakis P, Coull B, Synn A, Rice M. Physical Activity, Air Pollution Exposure, and Lung Function Interactions Among Adults with COPD. CHRONIC OBSTRUCTIVE PULMONARY DISEASES - JOURNAL OF THE COPD FOUNDATION 2023;10(2):170-177 |
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Chen YH, Mukherjee B, Adar SD, Berrocal VJ, Coull BA. Robust distributed lag models using data adaptive shrinkage. Biostatistics 2017;19(4):461-478. |
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Chossiere G, Xu H, Dixit Y, Isaacs S, Eastham S, Allroggen F, Speth R, Barrett S. Air pollution impacts of COVID-19-related containment measures. SCIENCE ADVANCES 2021;7(21):eabe1178. |
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Chu M, Gillooly S, Levy J, Vallarino J, Reyna L, Laurent J, Coull B, Adamkiewicz G. Real-time indoor PM2.5 monitoring in an urban cohort:Implications for exposure disparities and source control. ENVIRONMENTAL RESEARCH 2021;193(110561). |
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Colicino E, Wilson A, Frisardi MC, Prada D, Power MC, Hoxha M, Dioni L, Spiro III A, Vokonas PS, Weisskopf MG, Schwartz JD, Baccarelli AA. Telomere length, long-term black carbon exposure, and cognitive function in a cohort of older men:the VA Normative Aging Study. Environmental Health Perspectives 2017;125(1):76-81. |
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Dai L, Mehta A, Mordukhovich I, Just AC, Shen J, Hou L, Koutrakis P, Sparrow D, Vokonas PS, Baccarelli AA, Schwartz JD. Differential DNA methylation and PM2.5 species in a 450K epigenome-wide association study. Epigenetics 2017;12(2):139-148. |
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Daouda M, Henneman L, Kioumourtzoglou M, Gemmill A, Zigler C, Casey J. Association between county-level coal-fired power plant pollution and racial disparities in preterm births from 2000 to 2018. ENVIRONMENTAL RESEARCH LETTERS 2021;16(3):34055. |
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Deslauriers J, Redlich C, Kang C, Grady S, Slade M, Koutrakis P, Garshick E. Determinants of indoor carbonaceous aerosols in homes in the Northeast United States. JOURNAL OF THE EXPOSURE SCIENCE & ENVIRONMENTAL EPIDEMIOLOGY 2022;. |
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Di Q, Dai L, Wang Y, Zanobetti A, Choirat C, Schwartz JD, Dominici F. Association of short-term exposure to air pollution with mortality in older adults. JAMA 2017;318(24):2446-2456. |
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Di Q, Rowland S, Koutrakis P, Schwartz J. A hybrid model for spatially and temporally resolved ozone exposures in the continental United States. Journal of the Air & Waste Management Association 2017;67(1):39-52. |
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Di Q, Wang Y, Zanobetti A, Wang Y, Koutrakis P, Choirat C, Dominici F, Schwartz JD. Air pollution and mortality in the Medicare population. New England Journal of Medicine 2017;376(26):2513-2522. |
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Dominici F, Zigler C. Best practices for gauging evidence of causality in air pollution epidemiology. American Journal of Epidemiology 2017;186(12):1303-1309. |
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Dong S, Abu-Awad Y, Kosheleva A, Fong K, Koutrakis P, Schwartz J. Maternal exposure to black carbon and nitrogen dioxide during pregnancy and birth weight:Using machine-learning methods to achieve balance in inverse-probability weights. ENVIRONMENTAL RESEARCH 2022;211(112987). |
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Dong S, Koutrakis P, Li L, Coull B, Schwartz J, Kosheleva A, Zanobetti A. Synergistic Effects of Particle Radioactivity (Gross beta Activity) and Particulate Matter <= 2.5 mu m Aerodynamic Diameter on Cardiovascular Disease Mortality. JOURNAL OF THE AMERICAN HEART ASSOCIATION 2022;11(20):e025470. |
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Dorans KS, Wilker EH, Li W, Rice MB, Ljungman PL, Schwartz J, Coull BA, Kloog I, Koutrakis P, D’Agostino RB, Massaro JM, Hoffmann U, O'Donnell J, Mittleman MA. Residential proximity to major roads, exposure to fine particulate matter, and coronary artery calcium: the Framingham Heart Study. Arteriosclerosis, Thrombosis, and Vascular Biology 2016;36(8):1679-1685. |
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dos Santos N, Zilli V, Nascimento S, Mazzilli B, Saki M, Saueia C, Saldiva De Andre C, Justo L, Tisti M, Koutrakis P. Levels of Polonium-210 in brain and pulmonary tissues:Preliminary study in autopsies conducted in the city of Sao Paulo, Brazil. SCIENTIFIC REPORTS 2020;10(1):180. |
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Dovrou E, Bates K, MOch J, Mickley L, Jacob D, Keutsch F. Catalytic role of formaldehyde in particulate matter formation. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES 2022;119(6):e2113265119. |
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Fiffer M, Kang C, Requia W, Koutrakis P. Long-term impact of PM(2.5)mass and sulfur Reductions on ultrafine particle trends in Boston, MA from 1999 to 2018. JOURNAL OF THE AIR & WASTE MANAGEMENT ASSOCIATION 2020;70(7):700-707. |
R835872 (2020) R834798 (Final) |
Exit Exit |
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Fong KC, Kosheleva A, Kloog I, Koutrakis P, Laden F, Coull BA, Schwartz JD. Fine particulate air pollution and birthweight:differences in associations along the birthweight distribution. Epidemiology 2019;30(5):617-623. |
R835872 (2019) |
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Gaskins A, Tang Z, Hood R, Ford J, Schwartz J, Jones D, Laden F, Liang D. Periconception air pollution, metabolomic biomarkers, and fertility among women undergoing assisted reproduction. ENVIRONMENTAL INTERNATIONAL 2021;155:106666. |
R835872 (2020) R834798 (Final) |
Exit Exit |
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Grady ST, Koutrakis P, Hart JE, Coull BA, Schwartz J, Laden F, Zhang JJ, Gong J, Moy ML, Garshick E. Indoor black carbon of outdoor origin and oxidative stress biomarkers in patients with chronic obstructive pulmonary disease. Environment International 2018;115:188-195. |
R835872 (2018) R834798 (Final) |
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Hao H, Wang Y, Zhu Q, Zhang H, Rosenberg A, Schwartz J, Amini H, van Donkelaar A, Martin R, Liu P, Weber R, Russel A, Yitshak-sade M, Chang H, Shi L. National Cohort Study of Long-Term Exposure to PM2.5 Components and Mortality in Medicare American Older Adults. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2023;57(17):6835-6843. |
R835872 (2021) |
Exit |
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Hart JE, Grady ST, Laden F, Coull BA, Koutrakis P, Schwartz JD, Moy ML, Garshick E. Effects of indoor and ambient black carbon and PM 2.5 on pulmonary function among individuals with COPD. Environmental Health Perspectives 2018;126(12):127008. |
R835872 (2018) R835872 (2019) R835872 (2020) R834798 (Final) |
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Healy J, Yazdi M, Wei Y, Qiu X, Shtein A, Dominici F, Shi L, Schwartz J. Seasonal Temperature Variability and Mortality in the Medicare Population. ENVIRONMENT HEALTH PERSPECTIVES 2023;131(7) |
R835872 (Final) |
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Henneman L, Shen H, Hogrefe C, Russell A, Zigler C. Four Decades of Mobile Source Pollutants:Spatial-Temporal Trends Assessed by Ground-Based Monitors, Air Quality Models, and Satellites. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2021;55(2):882-892. |
R835872 (2020) R835880 (Final) |
Exit Exit |
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Henneman L, Rasel M, Choirat C, Anenberg S, Zigler C. Inequitable Exposures to US Coal Power Plant-Related PM2.5: 22 Years and Counting. ENVIRONMENTAL HEALTH PERSPECTIVES 2023;131(3):037005 |
R835872 (Final) |
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Hood R, James P, Fong K, Minguez-Alcaron L, Coull B, Schwartz J, Kloog I, Laden F, Gasking A. The influence of fine particulate matter on the association between residential greenness and ovarian reserve. ENVIRONMENTAL RESEARCH 2021;197:111162. |
R835872 (2020) R834798 (Final) |
Exit Exit |
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Huang S, Song S, Sielsen C, Zhang Y, Xiong J, Weschler L, Shaodong L. Residential building materials:An important source of ambient formaldehyde in mainland China. ENVIRONMENTAL INTERNATIONAL 2022;158(106909). |
R835872 (2020) |
Exit Exit |
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Huang Y, Kioumourtzoglou M, Mittleman M, Ross Z, Williams M, Friedman A, Schwartz J, Wapter R, Anath C. Air Pollution and Risk of Placental Abruption:A Study of Births in New York City, 2008-2014. AMERICAN JOURNAL OF EPIDEMIOLOGY 2021;190(6):1021-1033. |
R835872 (2020) |
Exit Exit |
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Hwang S, Hood R, Hauser R, Schwartz J, Laden F, Jones D, Liang D, Gaskins A. Using follicular fluid metabolomics to investigate the association between air pollution and oocyte quality. ENVIRONMENTAL INTERNATIONAL 2022;169(107522). |
R835872 (2021) R834798 (Final) |
Exit |
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Jbally A, Zhou X, Liu J, Lee T, Kamareddine L, Verguet S, Dominici F. Air pollution exposure disparities across population and income groups. NATURE 2022;601(7892):228-233. |
R835872 (2020) |
Exit Exit |
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Jin T, Amini H, Kosheleva A, Yazdi M, Wei T, Castro E, Di Q, Shi L, Schwartz J. Associations between long-term exposures to airborne PM2.5 components and mortality in Massachusetts:mixture analysis exploration. ENVIRONMENTAL HEALTH 2022;21(1):96. |
R835872 (2021) |
Exit |
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Kelp M, Lin S, Kutz J, Mickley L. A new approach for determining optimal placement of PM2.5 air quality sensors:case study for the contiguous United States. ENVIRONMENTAL RESEARCH LETTERS 2022;17(3). |
R835872 (2020) |
Exit Exit |
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Kelp M, Fargiano T, Lin S, Liu T, Turner J, Kutz J, Mickley L. Data-Driven Placement of PM2.5 Air Quality Sensors in the United States: An Approach to Target Urban Environmental Injustice. GEOHEALTH 2023;7(9):e2023GH000834 |
R835872 (Final) |
Exit |
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Key T, Tyagi P, Sabath M, Karareddine L, Henneman L, Braun D, Dominici F. Counterfactual time series analysis of short-term change in air pollution following the COVID-19 state of emergency in the United States. SCIENTIFIC REPORTS 2021;11(1):23517. |
R835872 (2020) |
Exit Exit |
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Kim C, Tec M, Zigler C. Bayesian nonparametric adjustment of confounding. BIOMETRICS 2023;Early Access |
R835872 (2021) |
Exit |
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Kingsley SL, Eliot MN, Glazer K, Awad YA, Schwartz JD, Savitz DA, Kelsey KT, Marsit CJ, Wellenius GA. Maternal ambient air pollution, preterm birth and markers of fetal growth in Rhode Island:results of a hospital-based linkage study. Journal of Epidemiology and Community Health 2017;71(12):1131-1136. |
R835872 (2017) R834798 (Final) |
Exit |
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Kodros J, Bell M, Dominici F, L'Orange C, Pollitt K, Weichenthal S, Wu X, Volkens J. Unequal airborne exposure to toxic metals associated with race, ethnicity, and segregation in the USA. NATURE COMMUNICATIONS 2022;13(1):6329. |
R835872 (2021) |
Exit |
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Lee KH, Tadesse MG, Baccarelli AA, Schwartz J, Coull BA. Multivariate Bayesian variable selection exploiting dependence structure among outcomes:application to air pollution effects on DNA methylation. Biometrics 2017;73(1):232-241. |
R835872 (2017) |
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Lee M, Schwartz J, Wang Y, Dominici F, Zanobetti A. Long-term effect of fine particulate matter on hospitalization with dementia. Environmental Pollution 2019;254:112. |
R835872 (2019) R834798 (Final) |
Exit Exit |
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Leung M, Rowland S, Coull B, Modest A, Hacker M, Schwartz J, Kioumourtzoglou M, Weisskopf M, Wilson A. Bias Amplification and Variance Inflation in Distributed Lag Models Using Low-Spatial-Resolution Data. AMERICAN JOURNAL OF EPIDEMIOLOGY 2023;Online ahead of print |
R835872 (2021) |
Exit |
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Leung M, Modest A, Hacker M, Wylie B, Wei Y, Schwartz J, Iyer H, Hart J, Coull B, Laden F, Weisskopf M, Papatheodorou S. Traffic-Related Air Pollution and Ultrasound Parameters of Fetal Growth in Eastern Massachusetts. AMERICAN JOURNAL OF EPIDEMIOLOGY 2023;Epub ahead of print |
R835872 (Final) |
Exit |
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Li J, Garschick E, Al-Hemud A, Huang S, Koutrakis P. Impacts of meteorology and vegetation on surface dust concentrations in Middle Eastern countries. SCIENCE OF THE TOTAL ENVIRONMENT 2020;712(136597). |
R835872 (2020) |
Exit Exit |
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Li J, Garshick E, Hart J, Li L, Si L, Al-Hemoud A, Huang S, Koutrakis P. Estimation of ambient PM2.5 in Iraq and Kuwait from 2001 to 2018 using machine learning andRemote sensing. ENVIRONMENT INTERNATIONAL 2021;151(106445). |
R835872 (2020) |
Exit Exit |
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Li L, Blomberg A, Spengler J, Coull B, Schwartz J, Koutrakis P. Unconventional oil and gas development and ambient particle radioactivity. NATURE COMMUNICATIONS 2020;11(1):5002. |
R835872 (2020) |
Exit Exit |
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Li L, Dominici F, Blomberg A, Bargagli-Stoffi F, Schwartz J, Coull B, Spengler J, Wei Y, Lawrence J, Koutrakis P. Exposure to unconventional oil and gas development and all-cause mortality in Medicare beneficiaries. NATURE ENERGY 2021;7(2):177-185. |
R835872 (2020) |
Exit Exit |
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Li L, Stern R, Blomberg A, Kang C, Wei Y, Liu M, Peralta A, Lawrence J, Vieira C, Koutrakis P. Ratios between Radon Concentrations in Upstairs and Basements:A Study in the Northeastern and Midwestern United States. DATA SCIENCE 2022;9(2):191-197. |
R835872 (2020) |
Exit Exit |
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Li L, Coull B, Koutrakis P. A national comparison between the collocated short- and long-term radon measurements in the United States. JOURNAL OF EXPOSURE SCIENCE AND ENVIRONMENTAL EPIDEMIOLOGY 2023;Epub ahead of print |
R835872 (2021) |
Exit |
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Li W, Dorans KS, Wilker EH, Rice MB, Long MT, Schwartz J, Coull BA, Koutrakis P, Gold DR, Fox CS, Mittleman MA. Residential proximity to major roadways, fine particulate matter, and hepatic steatosis: the Framingham Heart Study. American Journal of Epidemiology 2017;186(7):857-865. |
R835872 (2016) R834798 (Final) R834798C004 (Final) |
Exit |
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Li W, Dorans KS, Wilker EH, Rice MB, Ljungman PL, Schwartz JD, Coull BA, Koutrakis P, Gold DR, Keaney Jr JF, Vasan RS, Benjamin EJ, Mittleman MA. Short-term exposure to ambient air pollution and biomarkers of systemic inflammation: the Framingham Heart Study. Arteriosclerosis, Thrombosis, and Vascular Biology 2017;37(9):1793-1800. |
R835872 (2016) R834798 (Final) |
Exit Exit Exit |
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Li W, Dorans KS, Wilker EH, Rice MB, Kloog I, Schwartz JD, Koutrakis P, Coull BA, Gold DR, Meigs JB, Fox CS, Mittleman MA. Ambient air pollution, adipokines, and glucose homeostasis: the Framingham Heart Study. Environment International 2018;111:14-22. |
R835872 (2016) |
Exit Exit Exit |
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Li W, Nyhan MM, Wilker EH, Vieira CL, Lin H, Schwartz JD, Gold DR, Coull BA, Aba AM, Benjamin EJ, Vasan RS. Recent exposure to particle radioactivity and biomarkers of oxidative stress and inflammation:the Framingham Heart Study. Environment International 2018;121:1210-1216. |
R835872 (2019) |
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Liang D, Lee W, Liao J, Lawence J, Wolfson J, Ebelt S, Kang C, Koutrakis P, Samat J. Estimating climate change-related impacts on outdoor air pollution infiltration. ENVIRONMENTAL RESEARCH 2021;196(110923). |
R835872 (2020) R834798 (Final) R835755 (Final) |
Exit Exit |
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Liu M, Kang C, Wolfson J, Mikhail L, Coull B, Schwartz J, Koutrakis P. Measurements of Gross alpha-and beta-Activities of Archived PM2.5 and PM10 Teflon Filter Samples. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2020;54(19):11780-11788. |
R835872 (2020) |
Exit Exit |
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Liu R, Wei Y, Qiu X, Kosheleva A, Schwartz J. Short term exposure to air pollution and mortality in the US:a double negative control analysis. ENVIRONMENTAL HEALTH 2022;21(1):81. |
R835872 (2021) |
Exit |
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Liu S, Bobb J, ClaHenn B, Schnaas L, Tellez-Rojo M, Gennings C, Aurora M, Wright R, Coull B, Want M. Modeling the health effects of time-varying complex environmental mixtures:Mean field variational Bayes for lagged kernel machine regression. ENVIRONMETRICS 2018;29(4):e2504. |
R835872 (2020) |
Exit Exit |
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MacNaughton P, Eitland E, Kloog I, Schwartz J, Allen J. Impact of particular matter exposure and surrounding “greenness” on chronic absenteeism in Massachusetts public schools. International Journal of Environmental Research and Public Health 2017;14(2):E207. |
R835872 (2016) R834798 (Final) |
Exit |
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MacNaughton P, Eitland E, Kloog I, Schwartz J, Allen J. Impact of Particulate Matter Exposure and Surrounding Greenness on Chronic Absenteeism in Massachusetts Public Schools. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2017;14(2):207. |
R835872 (2020) R834798 (Final) |
Exit Exit |
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Mahmodi G, Bafti R, Boroujeni N, Pradhan S, Danwal S, Sengupta B, Vatanpour V, Sorci M, Fathizadeh M, Bikkina P, Belfort G, Yu M, Kim S. Improving cellulose acetate mixed matrix membranes by incorporating hydrophilic MIL-101(Cr)-NH2 nanoparticles for treating dye/salt solution. CHEMICAL ENGINEERING JOURNAL 2023;477(146736) |
R835872 (Final) R835441 (Final) SU840147 (Final) |
Exit |
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Makar M, Antonelli J, Di Q, Cutler D, Schwartz J, Dominici F. Estimating the causal effect of low levels of fine particulate matter on hospitalization. Epidemiology 2017;28(5):627-634. |
R835872 (2016) R835872 (2017) R835872C005 (2016) |
Exit Exit |
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Marlier M, Brenner K, Liu J, Mickley L, Raby S, James E, Ahmadov R, Riden H. Exposure of agricultural workers in California to wildfire smoke under past and future climate conditions. ENVIRONMENTAL RESEARCH LETTERS 2022;17(9):094045. |
R835872 (2021) |
Exit Exit |
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Masri S, Garshick E, Hart J, Bouhamra W, Koutrakis P. Use of visual range measurements to predict fine particulate matter exposures in Southwest Asia and Afghanistan. Journal of the Air & Waste Management Association 2017;67(1):75-85. |
R835872 (2016) R834798 (Final) |
Exit Exit Exit |
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Masri S, Garshick E, Coull B, Koutrakis P. A novel calibration approach using satellite and visibility observations to estimate fine particulate matter exposures in Southwest Asia and Afghanistan. Journal of the Air & Waste Management Association 2017;67(1):86-95. |
R835872 (2016) R834798 (Final) |
Exit Exit Exit |
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Matthaios V, Liu M, Li L, Kang M, Vieira C, Gold D, Koutrakis P. Sources of indoor PM2.5 gross alpha and beta activities measured in 340 homes. ENVIRONMENTAL RESEARCH 2021;197. |
R835872 (2020) R834798 (Final) |
Exit Exit |
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Matthaios V, Kang C, Wolfson J, Greco K, Gaffin J, Hauptman M, Cunningham A, Petty C, Lawrence J, Gold D, Koutrakis P. Factors Influencing Classroom Exposures to Fine Particles, Black Carbon, and Nitrogen Dioxide in Inner-City Schools and Their Implications for Indoor Air Quality. ENVIRONMETAL HEALTH PERSPECTIVES 2022;130(4):47005. |
R835872 (2020) R834798 (Final) |
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Matthaios V, Lawrence J, Martins M, Ferguson S, Wolfson J, Harrison R, Kourtrakis P. Quantifying factors affecting contributions of Roadway exhaust and non-exhaust emissions to ambient PM10-2.5 and PM2.5-0.2 particles. SCIENCE OF THE TOTAL ENVRIONMENT 2022;835. |
R835872 (2020) R834677 (Final) |
Exit Exit |
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Matthaios V, Holland I, Kang C, Hart J, Hauptman M, Wolfson JM, Gaffin J, Phipatanakul W, Gold DR, Koutrakis P. The effects of urban green space and road proximity to indoor traffic-related PM2.5, NO2, and BC exposure in inner-city schools. JOURNAL OF EXPOSURE SCIENCE AND ENVIRONMENTAL EPIMDEMIOLOGY 2024; |
R835872 (Final) |
Exit |
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McGee G, Wilson A, Webster T, Coull B. Bayesian multiple index models for environmental mixtures. BIOMETRICS 2021;1(3). |
R835872 (2020) R839278 (2020) |
Exit Exit |
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McGuinn LA, Ward-Caviness C, Neas LM, Schneider A, Di Q, Chudnovsky A, Schwartz J, Koutrakis P, Russell AG, Garcia V, Kraus WE, Hauser ER, Cascio W, Diaz-Sanchez D, Devlin RB. Fine particulate matter and cardiovascular disease: comparison of assessment methods for long-term exposure. Environmental Research 2017;159:16-23. |
R835872 (2016) R834799 (Final) |
Exit Exit Exit |
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Moch JM, Dovrou E, Mickley LJ, Keutsch FN, Liu Z, Wang Y, Dombek TL, Kuwata M, Budisulistiorini SH, Yang L, Decesari S, Paglione M, Alexander B, Shao J, Munger JW, Jacob DJ. Global Importance of Hydroxymethanesulfonate in Ambient Particulate Matter:Implications for Air Quality. J Geophys Res Atmos 2020; 125(18):e2020JD032706. |
R835872 (2020) |
Exit Exit |
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Nassan FL, Wang C, Kelly RS, Lasky-Su JA, Vokonas PS, Koutrakis P, Schwartz JD. Ambient PM2.5 species and ultrafine particle exposure and their differential metabolomic signatures. Environ Int 2021; 151:106447. |
R835872 (2020) |
Exit Exit |
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Nassan F, Kelly R, Koutrakis P, Vokonas P, Lasky-Su J, Schwartz J. Metabolomic signatures of the short-term exposure to air pollution and temperature. ENVIRONMENTAL RESEARCH 2021;201(111553). |
R835872 (2020) |
Exit Exit |
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Nurhussien L, Kang C, Koutrakis P, Coull B, Rice M. Air Pollution Exposure and Daily Lung Function in Chronic Obstructive Pulmonary Disease Effect Modification by Eosinophil Level. ANNALS OF THE AMERICAN THORACIC SOCIETY 2022;19(5):728-736 |
R835872 (2020) |
Exit |
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Nwanaji-Enwerem JC, Colicino E, Dai L, Di Q, Just AC, Hou L, Vokonas P, De Vivo I, Lemos B, Lu Q, Weisskopf MG, Baccarelli AA, Schwartz JD. miRNA processing gene polymorphisms, blood DNA methylation age and long-term ambient PM2.5 exposure in elderly men. Epigenomics 2017;9(12):1529-1542. |
R835872 (2016) R832416 (Final) |
Exit |
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Nwanaji-Enwerem JC, Bind M-A, Dai L, Oulhote Y, Colicino E, Di Q, Just AC, Hou L, Vokonas P, Coull BA, Weisskopf MG, Baccarelli AA, Schwartz JD. Editor’s highlight: Modifying role of endothelial function gene variants on the association of long-term PM2.5 exposure with blood DNA methylation age: the VA Normative Aging Study. Toxicological Sciences 2017;158(1):116-126. |
R835872 (2016) R832416 (Final) |
Exit Exit |
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Nwanaji-Enwerem JC, Colicino E, Dai L, Cayir A, Sanchez-Guerra M, Laue HE, Nguyen VT, Di Q, Just AC, Hou L, Vokonas P, Coull BA, Weisskopf MG, Baccarelli AA, Schwartz JD. Impacts of the mitochondrial genome on the relationship of long-term ambient fine particle exposure with blood DNA methylation age. Environmental Science & Technology 2017;51(14):8185-8195. |
R835872 (2016) R835872 (2017) R832416 (Final) |
Exit Exit Exit |
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Nyhan MM, Rice M, Blomberg A, Coull BA, Garshick E, Vokonas P, Schwartz J, Gold DR, Koutrakis P. Associations between ambient particle radioactivity and lung function. Environment International 2019;130:104795. |
R835872 (2019) |
Exit |
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Onyango S, North C, Ellaithy H, Tumwesigye P, Kang C, Matthaios V, Mukama M, Nambogo N, Wolfson J, Ferguson S, Asiimwe S, Atuyambe L, Santorino D, Christiani D, Koutrakis P. Ambient PM2.5 Temporal Variation and Source Apportionment in Mbarara, Uganda. AEROSOL AND AIR QUALITY RESEARCH 2024;24(4):230203. |
R835872 (Final) |
Exit |
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Papadogeorgou G, Dominici F. A causal exposure response function with local adjustment for confounding: Estimating health effects of exposure to low levels of ambient fine particulate matter. Annals of Applied Statistics 2020; 14(2):850-871. |
R835872 (2020) |
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Papatheodorou S, Yao W, Vieira C, Li L, Wylie B, Schwartz J, Koutrakis P. Residential Radon exposure and hypertensive disorders of pregnancy in Massachusetts, USA:A cohort study. ENVIRONMENTAL INTERNATIONAL 2021;146(106285). |
R835872 (2020) |
Exit Exit |
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Peralta A, Link M, Schwartz J, Luttmann-Gibson H, Dockery D, Blombarg A, Wei Y, Mittleman M, Gold D, Laden F, Coull B, Koutrakis P. Exposure to Air Pollution and Particle Radioactivity With the Risk of Ventricular Arrhythmias. CIRCULATION 2020;142(9):858-867. |
R835872 (2020) |
Exit Exit |
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Phipatanakul W, Koutrakis P, Coull BA, Kang CM, Wolfson JM, Ferguson ST, Petty CR, Samnaliev M, Cunningham A, Sheehan WJ, Gaffin JM, Baxi SN, Lai PS, Permaul P, Liang L, Thorne PS, Adamkiewicz G, Brennan KJ, Baccarelli AA, Gold DR. The school inner-city asthma intervention study: design, rationale, methods, and lessons learned. Contemporary Clinical Trials 2017;60:14-23. |
R835872 (2016) R834798 (Final) |
Exit Exit |
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Picciano P, Qiu M, Eastham S, Yuan M, Reilly J, Selin N. Air quality related equity implications of US decarbonization policy. NATURE COMMUNICATIONS 2023;14(1) |
R835872 (Final) |
Exit |
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Pienkosz B, Saari R, Monier E, Garcia-Menendez F. Natural Variability in Projections of Climate Change Impacts on Fine Particulate Matter Pollution. UNIVERSITY OF CALIFORNIA 2019;7(7):762-770. |
R835872 (2020) |
Exit |
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PLeung M, Laden F, Coull B, Modest A, Hacker M, Wylie B, Lyer H, Hart J, Wei Y, Schwartz J, Weisskopf M, Papatheodorou S. Ambient temperature during pregnancy and fetal growth in Eastern Massachusetts, USA. INTERNATIONAL JOURNAL OF EPIDEMIOLOGY 2022; |
R835872 (2021) |
Exit |
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Qiu M, Zigler C, Selin N. Impacts of wind power on air quality, premature mortality, and exposure disparities in the United States. SCIENCE ADVANCES 2022;8(48):eabn8762 |
R835872 (2021) |
Exit |
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Qiu M, ZIgler C, Selin N. Statistical and machine learning methods for evaluating trends in air quality under changing meteorological conditions. ATMOSPHERIC CHEMISTRY AND PHYSICS 2022;22(16):10551-10566. |
R835872 (2021) |
Exit Exit |
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Qiu X, Danesh-Sazdi M, Wei Y, Di Q, Just A, Zanobetti A, Weisskopf M, Dominici F, Schwartz J. Associations of short-term exposure to air pollution and increased ambient temperature with psychiatric hospital admissions in older adults in the USA:a case-crossover study. LANCET PLANETARY HEALTH 2022;6(4):e331-e341. |
R835872 (2020) |
Exit Exit |
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Qiu X, Wei Y, Amini H, Wang C, Weisskopf M, Koutrakis P, Schwartz J. Fine particle components and risk of psychiatric hospitalization in the US. SCIENCE OF THE TOTAL ENVIRONMENT 2022;849(157934). |
R835872 (2021) |
Exit Exit |
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Qiu X, Shi L, Kubzansky L, Wei Y, Castro E, Li H, Weisskopf M, Schwartz J. Association of Long-term Exposure to Air Pollution With Late-Life Depression in Older Adults in the US. JAMA NETWORK OPEN 2023;6(2) |
R835872 (Final) |
Exit |
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Rahman M, Carter S, Lin J, Chow T, Yu X, Martinez M, Chen S, Chen J, Rud D, Lewinger J, van Donkelaar A, Martin R, Eckel S, Schwartz J, Lurmann F, Kleeman M, McConnell R, Xiang A. Associations of Autism Spectrum Disorder with PM2.5 Components: A Comparative Study Using Two Different Exposure Models. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2022;57(1):405-414 |
R835872 (2021) |
Exit |
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Rahman M, Shu Y, Chow T, Lurmann F, Yu X, Martinez M, Carter S, Eckel S, Chen J, Chen Z, Levitt P, Schwartz J, McConnell R, Xiang A. Prenatal Exposure to Air Pollution and Autism Spectrum Disorder:Sensitive Windows of Exposure and Sex Differences. ENVIRONMENTAL HEALTH PERSPECTIVES 2022;130(1). |
R835872 (2020) |
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Rahman M, Carter S, Lin J, Chow T, Yu X, Martinez M, Mayra P, Levitt P, Checn Z, Chen J, Rud D, Lewinger J, Eckel S, Schwartz J, Lurmann F, Kleeman M, McConnell R, Xiang A. Prenatal exposure to tailpipe and non-tailpipe tracers of particulate matter pollution and autism spectrum disorders. ENVIRONMENT INTERNATIONAL 2023;171(107736) |
R835872 (2021) |
Exit |
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Requia WJ, Roig HL, Koutrakis P, Adams MD. Modeling spatial patterns of traffic emissions across 5570 municipal districts in Brazil. Journal of Cleaner Production 2017;148:845-853. |
R835872 (2016) R834798 (Final) |
Exit Exit Exit |
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Requia WJ, Adams MD, Arain A, Koutrakis P, Lee W-C, Ferguson M. Spatio-temporal analysis of particulate matter intake fractions for vehicular emissions: hourly variation by micro-environments in the Greater Toronto and Hamilton Area, Canada. Science of the Total Environment 2017;599-600:1813-1822. |
R835872 (2016) R834798 (Final) |
Exit Exit Exit |
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Requia WJ, Dalumpines R, Adams MD, Arain A, Ferguson M, Koutrakis P. Modeling spatial patterns of link-based PM2.5 emissions and subsequent human exposure in a large Canadian metropolitan area. Atmospheric Environment 2017;158:172-180. |
R835872 (2016) R834798 (Final) |
Exit Exit Exit |
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Requia WJ, Adams MD, Arain A, Koutrakis P, Ferguson M. Carbon dioxide emissions of plug-in hybrid electric vehicles: a life-cycle analysis in eight Canadian cities. Renewable and Sustainable Energy Reviews 2017;78:1390-1396. |
R835872 (2016) R835872C005 (2016) R834798 (Final) |
Exit Exit Exit |
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Requia WJ, Higgins CD, Adams MD, Mohamed M, Koutrakis P. The health impacts of weekday traffic: a health risk assessment of PM2.5 emissions during congested periods. Environment International 2018;111:164-176. |
R835872 (2016) R835872 (2017) R834798 (Final) |
Exit Exit Exit |
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Requia WJ, Coull BA, Koutrakis P. Regional air pollution mixtures across the continental US. Atmospheric Environment 2019;213(5):258-272. |
R835872 (2018) R834798 (Final) |
Exit Exit |
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Requia W, Di Q, Silvern R, Kelly J, Koutrakis P, Mickley L, Sulprizio M, Amini H, Schwartz J. An Ensemble Learning Approach for Estimating High Spatiotemporal Resolution of Ground-Level Ozone in the Contiguous United States. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2020;54(18):11037-11047. |
R835872 (2020) R834798 (Final) |
Exit Exit |
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Requia W, Amini H, Mukherjee R, Gold D, Schwartz J. Health impacts of wildfire-related air pollution in Brazil:a nationwide study of more than 2 million hospital admissions between 2008 and 2018. NATURE COMMUNICATIONS 2021;12(1):6555. |
R835872 (2020) |
Exit Exit |
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Rhee J, Dominici F, Zanobetti A, Schwartz J, Wang Y, Di Q, Christiani D. Risk of AcuteRespiratory Distress Syndrome Among Older Adults Living Near Construction and Manufacturing Sites. EPIDEMIOLOGY 2020;31(4):468-477 |
R835872 (2020) |
Exit |
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Romero-Guiterrez C, Koutrakis P, Liu M, Vieria C, Coull B, Maher E, Zhang J, Garshick E. Radon decay product particle radioactivity and oxidative stress biomarkers in patients with COPD. ENVIRONMENTAL RESEARCH 2024;240(Part 2):117505 |
R835872 (Final) R834798 (Final) |
Exit |
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Rosa MJ, Hsu HH, Just AC, Brennan KJ, Bloomquist T, Kloog I, Pantic I, Garcia AM, Wilson A, Coull BA, Wright RO. Association between prenatal particulate air pollution exposure and telomere length in cord blood:Effect modification by fetal sex. Environmental Research 2019;172:495-501. |
R835872 (2019) |
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Sade M, Shi L, Colicino E, Amini H, Schwartz J, Di Q, Wright R. Long-term air pollution exposure and diabetes risk in American older adults:A national secondary data-based cohort study. ENVIRONMENTAL POLLUTION 2023;320(121056). |
R835872 (2021) |
Exit |
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Scheerens C, Nurhussein L, Algan A, Synn A, Coull B, Koutrakis P, Rice M. The impact of personal and outdoor temperature exposure during cold and warm seasons on lung function and respiratory symptoms in COPD. ERJ - OPEN RESEARCH 2022;8(1):00574-2021 |
R835872 (2020) |
Exit |
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Schiff J, Vieira C, Garshick E, Wang V, Blomberg A, Gold D, Schwartz J, Tracy S, Vokanas P, Koutrakis P. The role of solar and geomagnetic activity in endothelial activation and inflammation in the NAS cohort. PLOS ONE 2022;17(7) |
R835872 (2021) |
Exit |
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Schwartz JD, Di Q, Requia WJ, Dominici F, Zanobetti A. A Direct Estimate of the Impact of PM2.5, NO2, and O3 Exposure on Life Expectancy Using Propensity Scores. Epidemiology 2021; 32(4):469-476. |
R835872 (2020) |
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Schwartz J, Wang Y, Yan K, Yitshaak-Sade M, Dominici F, Zanobetti A. Estimating the Effects of PM2.5 on Life Expectancy Using Causal Modeling Methods. ENVIRONMENTAL HEALTH PERSPECTIVES 2018;126(12):127002. |
R835872 (2020) |
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Schwartz J, Yitshak-Sade M, Zanobetti A, Di Q, Dominici F, Mittleman M. A self-controlled approach to survival analysis, with application to air pollution and mortality. ENVIRONMENTAL INTERNATIONAL 2021;157(106861). |
R835872 (2020) |
Exit Exit |
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Schwartz J, Bind MA, Koutrakis P. (2017) Estimating causal effects of local air pollution on daily deaths:effect of low levels. Environ Health Perspect 125:23–29; http://dx.doi.org/10.1289/EHP232. |
R835872C003 (2016) |
not available |
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Shen L, Mickley LJ. Effects of El Niño on summertime ozone air quality in the eastern United States. Geophysical Research Letters 2017;44(24):12543-12550. |
R835872 (2016) R835872 (2017) R835755 (2017) |
Exit Exit |
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Shen L, Mickley LJ, Leibensperger EM, Li M. Strong dependence of U.S. summertime air quality on the decadal variability of Atlantic sea surface temperatures. Geophysical Research Letters 2017;44(24):12527-12535. |
R835872 (2016) R835872 (2017) |
Exit Exit |
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Shen L, Mickley LJ, Murray LT. Influence of 2000–2050 climate change on particulate matter in the United States:results from a new statistical model. Atmospheric Chemistry and Physics 2017;17(6):4355-4367. |
R835872 (2016) R835872 (2017) R835755 (2017) |
Exit Exit |
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Shen L, Mickley LJ. Seasonal prediction of US summertime ozone using statistical analysis of large scale climate patterns. Proceedings of the National Academy of Sciences of the United States of America 2017;114(10):2491-2497. |
R835872 (2016) R835872 (2017) |
Exit Exit |
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Shen L, Mickley L, Seibensperger E, Li M. Strong Dependence of Summertime Air Quality on the Decadal Variability of Atlantic Sea Surface Temperatures. GEOPHYSICAL RESEARCH LETTERS 2017;44(24):12527-12535. |
R835872 (2020) |
Exit Exit |
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Stern RA, Koutrakis P, Martins MAG, Lemos B, Dowd SE, Sunderland EM, Garshick E. Characterization of hospital airborne SARS-CoV-2. Respir Res 2021; 22(1):73. |
R835872 (2020) |
Exit Exit |
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Stern R, Koutrakis P, Martins M, Lemos B, Dowd S, Sunderland E, Garchick E. Characterization of Airborne SARS-CoV-2 in a Veterans Affairs Medical Center. SCIENCE OF THE TOTAL ENVIRONMENT 2020;712(136597). |
R835872 (2020) |
Exit |
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Stern R, Charness M, Gupta K, Koutrakis P, Linsenmeyer K, Madjarov R, Martins M, Lemos B, Dowd S, Harshick E. Concordance of SARS-CoV-2 RNA in Aerosols From a Nurses Station and in Nurses and Patients During a Hospital Ward Outbreak. JAMA NETWORK OPEN 2022;5(6):e2216176. |
R835872 (2020) |
Exit |
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Stern R, Lawrence J, Wolfson J, Li L, Koutrakis P. Radon sampling methodologies: A case for accurate, accessible measurements using household instruments. JOURNAL OF THE AIR & WASTE MANAGEMENT ASSOCIATION 2023;73(7):519-524 |
R835872 (Final) |
Exit |
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Tang CH, Kourakis P, Schwartz J, Coull BA, Di Q. Trends and spatial patterns of fine resolution aerosol optical depth-derived PM2.5 emissions in Northeast United States from 2002 to 2013. Journal of the Air & Waste Management Association 2017;67(1):64-74. |
R835872 (2016) R835872 (2017) R835872 (2020) R834798 (Final) |
Exit Exit Exit |
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Tang CH, Coull BA, Schwartz J, Lyapustin A, Di Q, Koutrakis P. Developing particle emission inventories using remote sensing (PEIRS). Journal of the Air & Waste Management Association 2017;67(1):53-63. |
R835872 (2016) R835872 (2017) R834798 (Final) |
Exit Exit Exit |
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Tang CH, Garshick E, Grady S, Coull B, Schwartz J, Koutrakis P. Development of a modeling approach to estimate indoor-to-outdoor sulfur ratios and predict indoor PM2.5 and black carbon concentrations for Eastern Massachusetts households. Journal of Exposure Science & Environmental Epidemiology 2018;28(2):125-130. |
R835872 (2016) |
Exit Exit |
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Tang CH, Garshick E, Grady S, Coull B, Schwartz J, Koutrakis P. Development of a modeling approach to estimate indoor-to-outdoor sulfur ratios and predict indoor PM2.5 and black carbon concentrations for Eastern Massachusetts households. Journal of Exposure Science and Environmental Epidemiology 2018;28(2):125. |
R835872 (2017) R835872 (2018) |
Exit |
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Thomas E, Braun D, Kioumourtzoglou M, Trippa L, Wasfy J, Dominici F. A Bayesian Multi-Outcome Analysis of Fine Particulate Matter and Cardiorespiratory Hospitalizations. EPIDEMIOLOGY 2022;33(2):176-184. |
R835872 (2020) |
Exit Exit |
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Vieira CL, Koutrakis P, Huang S, Grady S, Hart JE, Coull BA, Laden F, Requia W, Schwartz J, Garshick E. Short-term effects of particle gamma radiation activities on pulmonary function in COPD patients. Environ Res 2019;221-227. |
R835872 (2016) R835872 (2019) R834798 (Final) |
Exit Exit Exit |
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Vieira C, Koutrakis P. The impact of solar activity on ambient ultrafine particle concentrations:An analysis based on 19-year measurements in Boston, USA. ENVIRONMENTAL RESEARCH 2021;201(111532). |
R835872 (2020) R834798 (Final) |
Exit Exit |
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Wag Y, Qiu X, Schwartz J. Long-Term Exposure to Ambient PM2.5 and Hospitalizations for Myocardial Infarction Among US Residents:A Difference-in-Differences Analysis. JOURNAL OF THE AMERICAN HEART ASSOCIATION 2023;12(18):e029428. |
R835872 (Final) |
Exit |
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Wang A, Leung M, Modest A, Vieira C, Hacker M, Schwartz J, Coull B, Koutrakis P. Associations of solar activity and related exposures with fetal growth. SCIENCE OF THE TOTAL ENVIRONMENT 2023;885(163862). |
R835872 (Final) |
Exit |
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Wang C, Cardenas A, Hutchinson J, Just A, Heiss J, Hou L, Zheng Y, Coull B, Kosheleva A, Koutrakis P, Baccarelli A, Schwartz J. Short-and intermediate-term exposure to ambient fine particulate elements and leukocyte epigenome-wide DNA methylation in older men:the Normative Aging Study. ENVIRONMENTAL INTERNATIONAL 2022;158. |
R835872 (2020) |
Exit Exit |
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Wang V, Zilli V, Garshick E, Schwartz J, Garshick M, Vokonas P, Koutrakis P. Solar Activity Is Associated With Diastolic and Systolic Blood Pressure in Elderly Adults. JOURNAL OF THE AMERICAN HEART ASSOCIATION 2021;10(21):e021006. |
R835872 (2020) |
Exit Exit |
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Wang V, Leung M, Liu M, Modest A, Hacker M, Gupta M, Vieira C, Weisskiph M, Schwartz J, Coull B, Papatheodorou S, Koutrakis P. Association between gestational exposure to solar activity and pregnancy loss using live births from a Massachusetts-based medical center. ENVIRIONMENTAL RESEARCH 2024;242(117742) |
R835872 (Final) |
Exit |
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Wang Y, Shi L, Lee M, Liu P, Di Q, Zanobetti A, Schwartz JD. Long-term exposure to PM2.5 and mortality among older adults in the Southeastern US. Epidemiology 2017;28(2):207-214. |
R835872 (2016) R835872 (2017) R836156 (2017) R836156 (2020) |
Exit |
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Wang Y, Lee M, Liu P, Shi L, Yu Z, Awad YA, Zanobetti A, Schwartz JD. Doubly robust additive hazards models to estimate effects of a continuous exposure on survival. Epidemiology 2017;28(6):771-779. |
R835872 (2016) R835872 (2017) |
Exit |
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Wang Y, Nordio F, Nairn J, Zanobetti A, Schwartz JD. Accounting for adaptation and intensity in projecting heat wave-related mortality. Environmental Research 2018;161:464-471. |
R835872 (2016) R835872 (2017) |
Exit Exit Exit |
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Wang Y, Hong C, Palmer N, Di Q, Schwartz J, Kohane I, Cai T. A fast divide-and-conquer sparse Cox Regression. BIOSTATISTICS 2021;22(2):381-401 |
R835872 (2020) |
Exit |
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Wang Z, Koutrakis P, Liu M, Vieira C, Coull B, Maher E, Moy M, Huang S, Garshick E. Residential radon decay products are associated with cough and phlegm in patients with COPD. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2024;282. |
R835872 (Final) R834798 (Final) |
Exit |
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Ward-Caviness CK, Danesh Yazdi M, Moyer J, Weaver AM, Cascio WE, Di Q, Schwartz JD, Diaz-Sanchez D. Long-Term Exposure to Particulate Air Pollution Is Associated With 30-Day Readmissions and Hospital Visits Among Patients With Heart Failure. J Am Heart Assoc 2021; 10(10):e019430. |
R835872 (2020) |
Exit Exit |
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Wei Y, Wang Y, Wu X, Di Q, Shi L, Koutrakis P, Zanobetti A, Dominici F, Schwartz J. Causal Effects of Air Pollution on Mortality Rate in Massachusetts. AMERICAN JOURNAL OF EPIDEMIOLOGY 2020;189(11):1316-1323. |
R835872 (2020) R836156 (Final) |
Exit Exit |
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Wei Y, Yazdi M, Di Q, Dominici F, Zanobetti A, Schwartz J. Emulating causal dose-response Relations between air pollutants and mortality in the Medicare population. Environmental Health 2021;270(1). |
R835872 (2020) |
Exit Exit |
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Wei Y, Coull B, Koutrakis P, Yang J, Li L, Zanobetti A, Schowatz J. Assessing additive effects of air pollutants on mortality rate in Massachusetts. ENVIRONMENTAL HEALTH 2021;20(1):19. |
R835872 (2020) R836156 (Final) |
Exit Exit |
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Wei Y, Qiu X, Yazdi M, Shtein A, Shi L, Yang J, Peralta A, Coull B, Schwartz J. The Impact of Exposure Measurement Error on the Estimated Concentration-Response Relationship between Long-Term Exposure to PM2.5 and Mortality. ENVIRONMENTAL HEALTH PERSPECTIVES 2022;130(7):77006. |
R835872 (2021) |
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Wikle N, Hanks E, Henneman L, Zigler C. A Mechanistic Model of Annual Sulfate Concentrations in the United States. JOURNALS OF THE AMERICAN STATISTICAL ASSOCIATION 2022;. |
R835872 (2020) R834798 (Final) |
Exit Exit |
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Wright R, Shu HL, Coull B, Simon M, Hudda N, Schwartz J, Kloog I, Durant J. Prenatal Ambient Ultrafine Particle Exposure and Childhood Asthma in the Northeastern United States. AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE 2021;204(7):788-796. |
R835872 (2020) |
Exit Exit |
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Wu X, Nethery RC, Sabath MB, Braun D, Dominici F. Air pollution and COVID-19 mortality in the United States:Strengths and limitations of an ecological regression analysis. Science Advances 2020; 6(45) |
R835872 (2020) R834677 (Final) |
Exit Exit |
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Wu X, Braun D, Schwartz J, Kioumourtzoglou M, Dominici F. Evaluating the impact of long-term exposure to fine particulate matter on mortality among the elderly. SCIENCE ADVANCES 2020;6(29):eaba5692. |
R835872 (2020) R834798 (Final) |
Exit Exit |
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Xiong J, Li J, Wu X, Wolfson J, Lawrence J, Stern R, Koutrakis P, Wei J, Huang S. The association between daily-diagnosed COVID-19 morbidity and short-term exposure to PM1 is larger than associations with PM2.5 and PM10. ENVIRONMENTAL RESEARCH 2022;210(113016). |
R835872 (2020) |
Exit Exit |
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Yan M, Dominici F, Wang Y, Al-Hamdan M, Rosson W, Schumacher A, Guikema S, Nagzamen S, Peel J, Peng R, Anderson G. Tropical Cyclone Exposures and Risks of Emergency Medicare Hospital Admission for Cardiorespiratory Diseases in 175 Urban United States Counties, 1999-2010. EPIDEMIOLOGY 2021;32(3):315-328. |
R835872 (2020) |
Exit |
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Yazdi M, Wei T, Requia W, Shi L, Sabath M, Dominici F, Schwartz J. The effect of long-term exposure to air pollution and seasonal temperature on hospital admissions with cardiovascular and respiratory disease in the United States:A difference-in-differences analysis. SCIENCE OF THE TOTAL ENVIRONMENT 2022;843(156855). |
R835872 (2020) |
Exit Exit |
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Yu S, Kang C, Liu M, Kotrakis P. PM2.5 sources affecting particle radioactivity in Boston, Massachusetts. ATHMOSPHERIC ENVIRONMENT 2021;259. |
R835872 (2020) R834798 (Final) |
Exit Exit |
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Yu X, Rahman M, Carter S, Lin J, Zhuang Z, Chow T, Lurmann F, Kleeman M, Martinez M, van Donkelaar A, Martin R, Eckel S, Chen Z, Levitt P, Schwartz J, Hackman D, Chen J, Mcconnell R, Xiang A. Prenatal air pollution, maternal immune activation, and autism spectrum disorder. ENVIRONMENTAL INTERNATIONAL 2023;179:108148 |
R835872 (Final) |
Exit |
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Yuan Y, Alahmad B, Kang C, Al-Marri F, Kommula V, Bouhamra W, Koutrakis P. Dust Events and Indoor Air Quality in Residential Homes in Kuwait. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020;17(7):2433. |
R835872 (2020) |
Exit Exit |
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Zanobetti A, Coull BA, Kloog I, Sparrow D, Vokonas PS, Gold DR, Schwartz J. Fine-scale spatial and temporal variation in temperature and arrhythmia episodes in the VA Normative Aging Study. Journal of the Air & Waste Management Association 2017;67(1):96-104. |
R835872 (2016) R832416 (Final) R834798 (Final) R834798C002 (Final) R834798C004 (Final) R834798C005 (Final) |
Exit Exit |
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Zarate R, Zigler C, Cubbin C, Matsui E. Neighborhood-level variability in asthma-related emergency drtment visits in Central Texas. THE JOURNAL OF ALLERGY AND CLINICAL IMMUNOLOGY 2021;148(5):1232-1269. |
R835872 (2020) |
Exit Exit |
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Zemplenyi M, Meyer MJ, Cardenas A, Hivert M-F, Rifas-Shiman SL, Gibson H, Kloog I, Schwartz J, Oken E, DeMeo DL, Gold DR, Coull BA. Function-on-function regression for the identification of epigenetic regions exhibiting windows of susceptibility to environmental exposures. Annals of Applied Statistics 2021; 15(3):1366-1385. |
R835872 (2020) |
Exit Exit |
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Zhai T, Vieira C, Vokona P, Baccarelli A, Nagel Z, Schwartz J, Koutrakis P. Annual space weather fluctuations and telomere length dynamics in a longitudinal cohort of older men: the Normative Aging Study. JOURNAL OF EXPOSURE SCIENCE AND ENVIRONMENTAL EPIDEMIOLOGY 2023; |
R835872 (Final) |
Exit |
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Zhang S, Breitner S, Cascio WE, Devlin RB, Neas LM, Ward-Caviness C, Diaz-Sanchez D, Kraus WE, Hauser ER, Schwartz J, Peters A, Schneider A. Association between short-term exposure to ambient fine particulate matter and myocardial injury in the CATHGEN cohort. Environ Pollut 2021; 275:116663. |
R835872 (2020) |
Exit Exit |
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Zhou X, Josey K, Kamareddine L, Caine M, Liu T, Mickley L, Cooper M, Dominici F. Excess of COVID-19 cases and deaths due to fine particulate matter exposure during the 2020 wildfires in the United States. SCIENCE ADVANCES 2021;7(33):eabi8789. |
R835872 (2020) |
Exit Exit |
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Zigler CM, Choirat C, Dominici F. Impact of National Ambient Air Quality Standards nonattainment designations on particulate pollution and health. Epidemiology 2018;29(2):165-174. |
R835872 (2016) R836156 (2018) R836156 (2020) |
Exit |
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Zigler CM, Papadogeorgou G. Bipartite Causal Inference with Interference. Statistical Science 2021; 36(1):109-123. |
R835872 (2020) |
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Zigler C. Invited Commentary: The Promise and Pitfalls of Causal Inference With Multivariate Environmental Exposures. AMERICAN JOURNAL OF EPIDEMIOLOGY 2021;190(12):2658-2661 |
R835872 (2020) |
Exit |
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Zilli V, Link M, Garschick E, Peralta A, Luttman-Gibson H, Laden F, Liu M, Gold D, Koutrakis P. Solar and geomagnetic activity enhance the effects of air pollutants on atrial fibrillation. EURSPACE 2022;24(5):713-720. |
R835872 (2020) R834798 (Final) |
Exit |
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Wilson A, Chiu YH, Hsu HH, Wright RO, Wright RJ, Coull BA. Potential for bias when estimating critical windows for air pollution in children’s health. American Journal of Epidemiology 2017;186(11):1281-1289. |
R835872 (2018) R834798 (Final) |
Exit |
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Dominici F, Zigler C. Best practices for gauging evidence of causality in air pollution epidemiology. American Journal of Epidemiology 2017;186(12):1303-1309. |
R835872 (2017) R834798 (Final) |
Exit |
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Awad YA, Koutrakis P, Coull BA, Schwartz J. A spatio-temporal prediction model based on support vector machine regression: ambient black carbon in three New England States. Environmental Research 2017;159: 427-434. |
R835872 (2017) R834798 (Final) |
Exit |
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Lin C, Christiani D, Lin RT. 0059 A global perspective on coal-fired power plants and lung cancer mortality. Occupational and Environmental Medicine 2017;74:A16. |
R835872 (2018) |
Exit |
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Prada D, Zhong J, Colicino E, Zanobetti A, Schwartz J, Dagincourt N, Fang SC, Kloog I, Zmuda JM, Holick M, Herrera LA. Association of air particulate pollution with bone loss over time and bone fracture risk:analysis of data from two independent studies. The Lancet Planetary Health 2017;1(8):e337-347. |
R835872 (2017) |
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Peng C, Cayir A, Sanchez-Guerra M, Di Q, Wilson A, Zhong J, Kosheleva A, Trevisi L, Colicino E, Brennan K, Dereix AE. Associations of annual ambient fine particulate matter mass and components with mitochondrial DNA abundance. Epidemiology 2017;28(6):763-770. |
R835872 (2017) R835872 (2018) |
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Wilson A, Chiu YH, Hsu HH, Wright RO, Wright RJ, Coull BA. Bayesian distributed lag interaction models to identify perinatal windows of vulnerability in children’s health. Biostatistics 2017;18(3):537-552. |
R835872 (2017) |
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Rosa MJ, Just AC, Guerra MS, Kloog I, Hsu HH, Brennan KJ, García AM, Coull B, Wright RJ, Rojo MM, Baccarelli AA. Identifying sensitive windows for prenatal particulate air pollution exposure and mitochondrial DNA content in cord blood. Environment International 2017;98:198-203. |
R835872 (2017) |
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Wilson A, Chiu YH, Hsu HH, Wright RO, Wright RJ, Coull BA. Potential for bias when estimating critical windows for air pollution in children’s health. American Journal of Epidemiology 2017;186(11):1281-1289. |
R835872 (2017) |
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Rosa MJ, Pajak A, Just AC, Sheffield PE, Kloog I, Schwartz J, Coull B, Enlow MB, Baccarelli AA, Huddleston K, Niederhuber JE. Prenatal exposure to PM2.5 and birth weight:a pooled analysis from three North American longitudinal pregnancy cohort studies. Environment International 2017;107:173-180. |
R835872 (2017) |
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Bose S, Chiu YH, Hsu HH, Di Q, Rosa MJ, Lee A, Kloog I, Wilson A, Schwartz J, Wright RO, Cohen S. Prenatal nitrate exposure and childhood asthma:influence of maternal prenatal stress and fetal sex. American Journal of Respiratory and Critical Care Medicine 2017;196(11):1396-1403. |
R835872 (2017) R835872 (2018) |
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Chiu YH, Hsu HH, Wilson A, Coull BA, Pendo MP, Baccarelli A, Kloog I, Schwartz J, Wright RO, Taveras EM, Wright RJ. Prenatal particulate air pollution exposure and body composition in urban preschool children:examining sensitive windows and sex-specific associations. Environmental Research 2017;158:798-805. |
R835872 (2017) |
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Rosa MJ, Just AC, Kloog I, Pantic I, Schnaas L, Lee A, Bose S, Chiu YH, Hsu HH, Coull B, Schwartz J. Prenatal particulate matter exposure and wheeze in Mexican children:effect modification by prenatal psychosocial stress. Annals of Allergy, Asthma & Immunology 2017;119(3):232-237. |
R835872 (2017) |
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Peng C, Sanchez-Guerra M, Wilson A, Mehta AJ, Zhong J, Zanobetti A, Brennan K, Dereix AE, Coull BA, Vokonas P, Schwartz J. Short-term effects of air temperature and mitochondrial DNA lesions within an older population. Environment International 2017;103:23-29. |
R835872 (2017) |
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Kioumourtzoglou MA, Power MC, Hart JE, Okereke OI, Coull BA, Laden F, Weisskopf MG. The association between air pollution and onset of depression among middle-aged and older women. American Journal of Epidemiology 2017;185(9):801-809. |
R835872 (2017) |
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Gaffin JM, Hauptman M, Petty CR, Sheehan WJ, Lai PS, Wolfson JM, Gold DR, Coull BA, Koutrakis P, Phipatanakul W. Nitrogen dioxide exposure in school classrooms of inner-city children with asthma. Journal of Allergy and Clinical Immunology 2018;141(6):2249-2255. |
R835872 (2018) R834798 (Final) |
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Li W, Dorans KS, Wilker EH, Rice MB, Kloog I, Schwartz JD, Koutrakis P, Coull BA, Gold DR, Meigs JB, Fox CS. Ambient air pollution, adipokines, and glucose homeostasis:The Framingham heart study. Environment International 2018;111:14-22. |
R835872 (2018) R834798 (Final) |
Exit |
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Cutler D, Dominici F. A breath of bad air:cost of the Trump environmental agenda may lead to 80 000 extra deaths per decade. JAMA 2018;319(22):2261-2262. |
R835872 (2018) |
not available |
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Lin CK, Lin RT, Chen PC, Wang P, De Marcellis-Warin N, Zigler C, Christiani DC. A global perspective on sulfur oxide controls in coal-fired power plants and cardiovascular disease. Scientific Reports 2018;8(1):2611. |
R835872 (2018) |
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Schwartz J, Fong K, Zanobetti A. A national multicity analysis of the causal effect of local pollution, NO2, and PM2.5 on mortality. Environmental Health Perspectives 2018;126(8):087004. |
R835872 (2018) |
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Papadogeorgou G, Choirat C, Zigler CM. Adjusting for unmeasured spatial confounding with distance adjusted propensity score matching. Biostatistics 2018;20(2):256-272. |
R835872 (2017) R835872 (2018) |
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Sheffield PE, Speranza R, Chiu YH, Hsu HH, Curtin PC, Renzetti S, Pajak A, Coull B, Schwartz J, Kloog I, Wright RJ. Association between particulate air pollution exposure during pregnancy and postpartum maternal psychological functioning. PloS One 2018;13(4):e0195267. |
R835872 (2018) |
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Nyhan MM, Coull BA, Blomberg AJ, Vieira CL, Garshick E, Aba A, Vokonas P, Gold DR, Schwartz J, Koutrakis P. Associations between ambient particle radioactivity and blood pressure:the NAS (Normative Aging Study). Journal of the American Heart Association 2018;7(6):e008245. |
R835872 (2018) |
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Rokoff LB, Rifas-Shiman SL, Coull BA, Cardenas A, Calafat AM, Ye X, Gryparis A, Schwartz J, Sagiv SK, Gold DR, Oken E. Cumulative exposure to environmental pollutants during early pregnancy and reduced fetal growth:the project viva cohort. Environmental Health 2018;17(1):19. |
R835872 (2018) R834798 (Final) |
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Schwartz JD, Wang Y, Kloog I, Yitshak-Sade MA, Dominici F, Zanobetti A. Estimating the effects of PM on life expectancy using causal modeling methods. Environmental Health Perspectives 2018;126(12):127002.. |
R835872 (2019) |
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Ananth CV, Kioumourtzoglou MA, Huang Y, Ross Z, Friedman AM, Williams MA, Wang S, Mittleman MA, Schwartz J. Exposures to air pollution and risk of acute-onset placental abruption:a case-crossover study. Epidemiology 2018;29(5):631-638. |
R835872 (2018) |
Exit |
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Zigler CM, Choirat C, Dominici F. Impact of national ambient air quality standards nonattainment designations on particulate pollution and health. Epidemiology 2018;29(2):165-164. |
R835872 (2017) R835872 (2018) |
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Garshick E, Grady ST, Hart JE, Coull BA, Schwartz JD, Laden F, Moy ML, Koutrakis P. Indoor black carbon and biomarkers of systemic inflammation and endothelial activation in COPD patients. Environmental Research 2018;165:358-364. |
R835872 (2018) |
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Rice MB, Rifas-Shiman SL, Litonjua AA, Gillman MW, Liebman N, Kloog I, Luttmann-Gibson H, Coull BA, Schwartz J, Koutrakis P, Oken E. Lifetime air pollution exposure and asthma in a pediatric birth cohort. Journal of Allergy and Clinical Immunology 2018;141(5):1932-1934. |
R835872 (2018) |
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Ljungman PL, Li W, Rice MB, Wilker EH, Schwartz J, Gold DR, Koutrakis P, Benjamin EJ, Vasan RS, Mitchell GF, Hamburg NM. Long-and short-term air pollution exposure and measures of arterial stiffness in the Framingham heart study. Environment International 2018;121:139-147. |
R835872 (2018) |
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Zanobetti A, O’Neill MS. Longer-term outdoor temperatures and health effects:a review. Current Epidemiology Reports 2018;5(2):125-139. |
R835872 (2018) R836156 (2019) R836156 (2020) |
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Wilson A, Zigler CM, Patel CJ, Dominici F. Model‐averaged confounder adjustment for estimating multivariate exposure effects with linear regression. Biometrics 2018;74(3):1034-1044. |
R835872 (2017) R836156 (2019) R836156 (2020) |
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Silvern RF, Jacob DJ, Travis KR, Sherwen T, Evans MJ, Cohen RC, Laughner JL, Hall SR, Ullmann K, Crounse JD, Wennberg PO. Observed NO/NO2 ratios in the upper troposphere imply errors in NO‐NO2‐O3 cycling kinetics or an unaccounted NOx reservoir. Geophysical Research Letters 2018;45(9):4466-4474. |
R835872 (2018) |
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Lee A, Hsu HH, Chiu YH, Bose S, Rosa MJ, Kloog I, Wilson A, Schwartz J, Cohen S, Coull BA, Wright RO. Prenatal fine particulate exposure and early childhood asthma:effect of maternal stress and fetal sex. Journal of Allergy and Clinical Immunology 2018;141(5):1880-1886. |
R835872 (2017) R835872 (2018) |
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Lee AG, Le Grand B, Hsu HH, Chiu YH, Brennan KJ, Bose S, Rosa MJ, Brunst KJ, Kloog I, Wilson A, Schwartz J. Prenatal fine particulate exposure associated with reduced childhood lung function and nasal epithelia GSTP1 hypermethylation:sex-specific effects. Respiratory Research 2018;19(1):76. |
R835872 (2018) |
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Bose S, Rosa MJ, Chiu YH, Hsu HH, Di Q, Lee A, Kloog I, Wilson A, Schwartz J, Wright RO, Morgan WJ. Prenatal nitrate air pollution exposure and reduced child lung function:timing and fetal sex effects. Environmental research 2018;167:591-597. |
R835872 (2018) |
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Brunst KJ, Sanchez-Guerra M, Chiu YH, Wilson A, Coull BA, Kloog I, Schwartz J, Brennan KJ, Enlow MB, Wright RO, Baccarelli AA. Prenatal particulate matter exposure and mitochondrial dysfunction at the maternal-fetal interface:effect modification by maternal lifetime trauma and child sex. Environment International 2018;112:49-58. |
R835872 (2018) |
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Li W, Nyhan MM, Wilker EH, Vieira CL, Lin H, Schwartz JD, Gold DR, Coull BA, Aba AM, Benjamin EJ, Vasan RS. Recent exposure to particle radioactivity and biomarkers of oxidative stress and inflammation:the Framingham heart study. Environment International 2018;121:1210-1216. |
R835872 (2018) R835872 (2019) |
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Sordillo JE, Switkowski KM, Coull BA, Schwartz J, Kloog I, Gibson H, Litonjua AA, Bobb J, Koutrakis P, Rifas-Shiman SL, Oken E. Relation of prenatal air pollutant and nutritional exposures with biomarkers of allergic disease in adolescence. Scientific Reports 2018;8(1):10578. |
R835872 (2018) |
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Fong K, Kloog I, Coull B, Koutrakis P, Laden F, Schwartz J, James P. Residential greenness and birthweight in the state of Massachusetts, USA. International Journal of Environmental Research and Public Health 2018;15(6):1248. |
R835872 (2018) R836156 (2019) R836156 (2020) |
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Gaskins AJ, Hart JE, Mínguez-Alarcón L, Chavarro JE, Laden F, Coull BA, Ford JB, Souter I, Hauser R. Residential proximity to major roadways and traffic in relation to outcomes of in vitro fertilization. Environment International 2018;115:239-246.. |
R835872 (2018) |
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Peng C, den Dekker M, Cardenas A, Rifas-Shiman SL, Gibson H, Agha G, Harris MH, Coull BA, Schwartz J, Litonjua AA, DeMeo DL. Residential proximity to major roadways at birth, DNA methylation at birth and midchildhood, and childhood cognitive test scores:project viva (Massachusetts, USA). Environmental Health Perspectives 2018;126(9):097006. |
R835872 (2018) |
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Huang S, Lawrence J, Kang CM, Li J, Martins M, Vokonas P, Gold DR, Schwartz J, Coull BA, Koutrakis P. Road proximity influences indoor exposures to ambient fine particle mass and components. Environmental Pollution 2018;243:978-987. |
R835872 (2018) |
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Bobb JF, Henn BC, Valeri L, Coull BA. Statistical software for analyzing the health effects of multiple concurrent exposures via Bayesian kernel machine regression. Environmental Health 2018;17(1):67. |
R835872 (2018) |
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Yitshak-Sade M, Bobb JF, Schwartz JD, Kloog I, Zanobetti A. The association between short and long-term exposure to PM2.5 and temperature and hospital admissions in New England and the synergistic effect of the short-term exposures. Science of The Total Environment 2018;639:868-875. |
R835872 (2018) |
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Di Q, Amini H, Shi L, Kloog I, Silvern R, Kelly J, Sabath MB, Choirat C, Koutrakis P, Lyapustin A, Wang Y. Assessing NO2 concentration and model uncertainty with high spatiotemporal resolution across the contiguous United States using ensemble model averaging. Environmental Science & Technology 2019;54(3):1372-1384. |
R835872 (2019) R835872 (2020) R834798 (Final) |
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Blomberg AJ, Coull BA, Jhun I, Vieira CL, Zanobetti A, Garshick E, Schwartz J, Koutrakis P. Effect modification of ambient particle mortality by radon:a time series analysis in 108 US cities. Journal of the Air & Waste Management Association 2019;69(3):266-276. |
R835872 (2018) R835872 (2019) R835872 (2020) R834798 (Final) |
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Requia WJ, Coull BA, Koutrakis P. Evaluation of predictive capabilities of ordinary geostatistical interpolation, hybrid interpolation, and machine learning methods for estimating PM2.5 constituents over space. Environmental Research 2019;175:421-433. |
R835872 (2018) R835872 (2019) R834798 (Final) |
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Di Q, Amini H, Shi L, Kloog I, Silvern R, Kelly J, Sabath MB, Choirat C, Koutrakis P, Lyapustin A, Wang Y. An ensemble-based model of PM2.5 concentration across the contiguous United States with high spatiotemporal resolution. Environment International 2019;130:104909. |
R835872 (2019) R834798 (Final) |
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Requia WJ, Coull BA, Koutrakis P. Multivariate spatial patterns of ambient PM2.5 elemental concentrations in Eastern Massachusetts. 2019;252:1942-1952.. |
R835872 (2018) R835872 (2019) R834798 (Final) |
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Vieira CL, Alvares D, Blomberg A, Schwartz J, Coull B, Huang S, Koutrakis P. Geomagnetic disturbances driven by solar activity enhance total and cardiovascular mortality risk in 263 US cities. Environmental Health 2019;18(1):83. |
R835872 (2019) R834798 (Final) |
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Requia WJ, Coull BA, Koutrakis P. The impact of wildfires on particulate carbon in the western USA. Atmospheric Environment 2019;213:1-10.. |
R835872 (2018) R834798 (Final) |
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Requia WJ, Coull BA, Koutrakis P. The influence of spatial patterning on modeling PM2.5 constituents in Eastern Massachusetts. Science of The Total Environment 2019;682:247-258. |
R835872 (2018) R835872 (2019) R834798 (Final) |
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Requia WJ, Jhun I, Coull BA, Koutrakis P. Climate impact on ambient PM2.5 elemental concentration in the United States:a trend analysis over the last 30 years. Environment International 2019;131:104888. |
R835872 (2018) R835872 (2019) R834798 (Final) |
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Gaskins AJ, Minguez-Alarcon L, Fong KC, Abu Awad Y, Di Q, Chavarro JE, Ford JB, Coull BA, Schwartz J, Kloog I, Attaman J. Supplemental folate and the relationship between traffic-related air pollution and livebirth among women undergoing assisted reproduction. American Journal of Epidemiology 2019;188(9):1595-1604. |
R835872 (2019) R834798 (Final) |
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Wei Y, Wang Y, Di Q, Choirat C, Wang Y, Koutrakis P, Zanobetti A, Dominici F and Schwartz JD. Short term exposure to fine particulate matter and hospital admission risks and costs in the Medicare population:time stratified, case crossover study. BMJ 2019; 367:l6258. |
R835872 (2019) R834798 (Final) |
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Borge R, Requia WJ, Yague C, Jhun I and Koutrakis P. Impact of weather changes on air quality and related mortality in Spain over a 25year period [1993-2017]. Environ Int 2019; 133(Pt B):105272. |
R835872 (2020) R834798 (Final) |
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Achilleos S, Al-Ozairi E, Alahmad B, Garshick E, Neophytou AM, Bouhamra W, Yassin MF and Koutrakis P. Acute effects of air pollution on mortality:A 17-year analysis in Kuwait. Environment International 2019; 126:476-483. |
R835872 (2020) |
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Dedoussi IC, Allroggen F, Flanagan R, Hansen T, Taylor B, Barrett SR, Boyce JK. The co-pollutant cost of carbon emissions:an analysis of the US electric power generation sector. Environmental Research Letters 2019;14(9):094003. |
R835872 (2018) R835872 (2019) R835872 (2020) |
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Mork D, Kioumourtzoglou MA, Weisskopf M, Coull BA, Wilson A. Heterogeneous Distributed Lag Models to Estimate Personalized Effects of Maternal Exposures to Air Pollution. ARXIV PREPRINT ARXIV 2019;13763. |
R835872 (Final) R839278 (2019) R839278 (Final) |
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Henneman LR, Mickley LJ, Zigler CM. Air pollution accountability of energy transitions:the relative importance of point source emissions and wind fields in exposure changes. Environmental Research Letters 2019;14(11):115003. |
R835872 (2019) |
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Rice MB, Li W, Schwartz J, Di Q, Kloog I, Koutrakis P, Gold DR, Hallowell RW, Zhang C, O'Connor G, Washko GR. Ambient air pollution exposure and risk and progression of interstitial lung abnormalities:the Framingham Heart Study. Thorax 2019;74(11):1063-1069. |
R835872 (2019) |
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Rice MB, Li W, Wilker EH, Gold DR, Schwartz J, Zanobetti A, Koutrakis P, Kloog I, Washko GR, O'Connor GT, Mittleman MA. Association of outdoor temperature with lung function in a temperate climate. European Respiratory Journal 2019;53(1):1800612. |
R835872 (2018) |
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Wei Y, Wang Y, Lin C-K, Yin K, Yang J, Shi L, Li L, Zanobetti A, Schwartz JD. Associations between seasonal temperature and dementia-associated hospitalizations in New England. Environment International 2019;126:228-233. |
R835872 (2019) |
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Wu X, Braun D, Kioumourtzoglou MA, Choirat C, Di Q, Dominici F. Causal inference in the context of an error prone exposure:air pollution and mortality. The Annals of Applied Statistics 2019;13(1):520-547. |
R835872 (2018) |
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Papadogeorgou G, Mealli F, Zigler CM. Causal inference with interfering units for cluster and population level treatment allocation programs. Biometrics 2019; 75(3):778-787. |
R835872 (2018) R835872 (2019) |
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Henneman LR, Choirat C, Ivey C, Cummiskey K, Zigler CM. Characterizing population exposure to coal emissions sources in the United States using the HyADS model. Atmospheric Environment 2019;203:271-280. |
R835872 (2018) R835872 (2019) |
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Yitshak-Sade M, Blomberg AJ, Zanobetti A, Schwartz JD, Coull BA, Kloog I, Dominici F and Koutrakis P. County-level radon exposure and all-cause mortality risk among Medicare beneficiaries. Environ Int 2019; 130:104865. |
R835872 (2019) |
not available |
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Rhee J, Fabian MP, Ettinger de Cuba S, Coleman S, Sandel M, Lane KJ, Yitshak Sade M, Hart JE, Schwartz J, Kloog I, Laden F. Effects of maternal homelessness, supplemental nutrition programs, and prenatal PM2.5 on birthweight. International Journal of Environmental Research and Public Health 2019;16(21):4154. |
R835872 (2019) R836156 (2020) |
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Gilstrap LG, Dominici F, Wang Y, El-Sady MS, Singh A, Di Carli MF, Falk RH, Dorbala S. Epidemiology of cardiac amyloidosis-associated heart failure hospitalizations among fee-for-service medicare beneficiaries in the United States. Circulation Heart Failure 2019;12(6):e005407. |
R835872 (2018) |
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Shtein A, Kloog I, Schwartz J, Silibello C, Michelozzi P, Gariazzo C, Viegi G, Forastiere F, Karnieli A, Just AC, Stafoggia M. Estimating daily PM2.5 and PM10 over Italy using an ensemble model. Environmental Science & Technology 2019;54(1):120-128. |
R835872 (2019) |
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Nethery RC, Mealli F, Dominici F. Estimating population average causal effects in the presence of non-overlap:the effect of natural gas compressor station exposure on cancer mortality. The Annals of Applied Statistics 2019;13(2):1242-1267. |
R835872 (2019) R836156 (2019) R836156 (2020) |
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Yitshak-Sade M, Kloog I, Zanobetti A, Schwartz JD. Estimating the causal effect of annual PM2.5 exposure on mortality rates in the Northeastern and mid-Atlantic states. Environmental Epidemiology 2019;3(4):e052. |
R835872 (2019) |
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Gaskins AJ, Minguez-Alarcon L, Fong KC, Abdelmessih S, Coull BA, Chavarro JE, Schwartz J, Kloog I, Souter I, Hauser R, Laden F. Exposure to fine particulate matter and ovarian reserve among women from a fertility clinic. Epidemiology 2019;30(4):486-491. |
R835872 (2019) |
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Dimanchev EG, Paltsev S, Yuan M, Rothenberg D, Tessum CW, Marshall JD, Selin NE. Health co-benefits of sub-national renewable energy policy in the US. Environmental Research Letters 2019;14(8):085012 |
R835872 (2018) R835872 (2019) R835873 (2019) R835873 (Final) |
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Antonelli J, Parmigiani G, Dominici F. High-dimensional confounding adjustment using continuous spike and slab priors. Bayesian Analysis 2019;14(3):805-828. |
R835872 (2019) R836156 (2020) |
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Rhee J, Dominici F, Zanobetti A, Schwartz J, Wang Y, Di Q, Balmes J, Christiani DC. Impact of long-term exposures to ambient PM2.5 and ozone on ARDS risk for older adults in the United States. Chest 2019; 156(1):71-79. |
R835872 (2018) R835872 (2019) |
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Gao X, Colicino E, Shen J, Kioumourtzoglou MA, Just AC, Nwanaji-Enwerem JC, Coull B, Lin X, Vokonas P, Zheng Y, Hou L. Impacts of air pollution, temperature, and relative humidity on leukocyte distribution:an epigenetic perspective. Environment International 2019;126:395-405. |
R835872 (2019) |
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Yazdi MD, Wang Y, Di Q, Zanobetti A, Schwartz J. Long-term exposure to PM2.5 and ozone and hospital admissions of Medicare participants in the Southeast USA. Environment International 2019;130:104879. |
R835872 (2019) |
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Fleisch AF, Aris IM, Rifas-Shiman SL, Coull BA, Luttmann-Gibson H, Koutrakis P, Schwartz JD, Kloog I, Gold DR, Oken E. Prenatal exposure to traffic pollution and childhood body mass index trajectory. Frontiers in Endocrinology 2019;9:771. |
R835872 (2018) R835872 (2019) |
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Fong KC, Di Q, Kloog I, Laden F, Coull BA, Koutrakis P, Schwartz JD. Relative toxicities of major particulate matter constituents on birthweight in Massachusetts. Environmental Epidemiology 2019;3(3). |
R835872 (2019) |
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Li W, Dorans KS, Wilker EH, Rice MB, Ljungman PL, Schwartz JD, Coull BA, Koutrakis P, Gold DR, Keaney Jr JF, Vasan RS. Short-term exposure to ambient air pollution and circulating biomarkers of endothelial cell activation:The Framingham heart study. Environmental Research 2019;171:36-43. |
R835872 (2018) |
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Wright RJ, Coull BA. Small but mighty:prenatal ultrafine particle exposure linked to childhood asthma incidence. American Journal of Respiratory and Critical Care Medicine 2019;199(12):1448-1450. |
R835872 (2019) |
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Jhun I, Kim J, Cho B, Gold DR, Schwartz J, Coull BA, Zanobetti A, Rice MB, Mittleman MA, Garshick E, Vokonas P. Synthesis of Harvard Environmental Protection Agency (EPA) Center studies on traffic-related particulate pollution and cardiovascular outcomes in the Greater Boston Area. Journal of the Air & Waste Management Association 2019;69(8):900-917. |
R835872 (2019) |
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Anderson GB, Barnes EA, Bell ML, Dominici F. The future of climate epidemiology:opportunities for advancing health research in the context of climate change. American Journal of Epidemiology 2019;188(5):866-872. |
R835872 (2019) R835871 (2019) R835871 (2020) |
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Gaskins AJ, Fong KC, Abu Awad Y, Di Q, Minguez-Alarcon L, Chavarro JE, Ford JB, Coull BA, Schwartz J, Kloog I, Souter I. Time-varying exposure to air pollution and outcomes of in vitro fertilization among couples from a fertility clinic. Environmental Health Perspectives 2019;127(7):077002. |
R835872 (2019) |
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Silvern RF, Jacob DJ, Mickley LJ, Sulprizio MP, Travis KR, Marais EA, Cohen RC, Laughner JL, Choi S, Joiner J, Lamsal LN. Using satellite observations of tropospheric NO_2 columns to infer long-term trends in US NOx emissions:the importance of accounting for the free tropospheric NO2 background. Atmospheric Chemistry and Physics 2019;19(13):8863-8878. |
R835872 (2019) |
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Liu T, Mickley LJ, Marlier ME, DeFries RS, Khan MF, Latif MT, Karambelas A. Diagnosing spatial biases and uncertainties in global fire emissions inventories:Indonesia as regional case study. Remote Sensing of Environment 2020;237:111557. |
R835872 (2019) R835872 (2020) |
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Kang CM, Liu M, Garshick E and Koutrakis P. Indoor Particle Alpha Radioactivity Origins in Occupied Homes. Aerosol Air Qual Res 2020; 20(6). |
R835872 (2020) R834798 (Final) |
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Li Y, Mickley LJ, Liu P, Kaplan JO. Trends and spatial shifts in lightning fires and smoke concentrations in response to 21st century climate over the national forests and parks of the western United States. ,em> Atmospheric Chemistry and Physics 2020;20(14):8827-38. |
R835872 (2020) R835875 (Final) |
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Gaffin JM, Hauptman M, Petty CR, Haktanir-Abul M, Gunnlaugsson S, Lai PS, Baxi SN, Permaul P, Sheehan WJ, Wolfson JM, Coull BA, Gold DR, Koutrakis P and Phipatanakul W. Differential Effect of School-Based Pollution Exposure in Children With Asthma Born Prematurely. Chest 2020; 158(4):1361-1363. |
R835872 (2020) R834798 (Final) |
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Cserbik D, Chen JC, McConnell R, Berhane K, Sowell ER, Schwartz J, Hackman DA, Kan E, Fan CC and Herting MM. Fine particulate matter exposure during childhood relates to hemispheric-specific differences in brain structure. Environ Int 2020; 143:105933. |
R835872 (2020) R835441 (Final) |
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Qiu X, Wei Y, Wang Y, Di Q, Sofer T, Awad YA, Schwartz J. Inverse probability weighted distributed lag effects of short-term exposure to PM2.5 and ozone on CVD hospitalizations in New England Medicare participants-Exploring the causal effects. Environmental Research 2020;182:109095. |
R835872 (2019) |
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Dedoussi IC, Eastham SD, Monier E, Barrett SR. Premature mortality related to United States cross-state air pollution. Nature 2020;578(7794):261-265. |
R835872 (2019) |
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Huang S, Garshick E, Vieira CL, Grady ST, Schwartz JD, Coull BA, Hart JE, Laden F, Koutrakis P. Short-term exposures to particulate matter gamma radiation activities and biomarkers of systemic inflammation and endothelial activation in COPD patients. Environmental Research 2020;180:108841. |
R835872 (2019) |
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Requia WJ, Coull BA, Koutrakis P. Where air quality has been impacted by weather changes in the United States over the last 30 years?. Atmospheric Environment 2020;224:117360. |
R835872 (2019) |
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Nethery RC, Mealli F, Sacks JD, Dominici F. Evaluation of the Health Impacts of the 1990 Clean Air Act Amendments Using Causal Inference and Machine Learning. Journal of the American Statistical Association 2020:1-12 |
R835872 (2020) |
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Vodonos A and Schwartz J. Estimation of excess mortality due to long-term exposure to PM2.5 in continental United States using a high-spatiotemporal resolution model. Environ Res 2021; 196:110904. |
R835872 (2020) |
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Weinberger KR, Wu X, Sun S, Spangler KR, Nori-Sarma A, Schwartz J, Requia W, Sabath BM, Braun D, Zanobetti A, Dominici F and Wellenius GA. Heat warnings, mortality, and hospital admissions among older adults in the United States. Environ Int 2021; 157:106834. |
R835872 (2020) |
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Shi L, Rosenberg A, Wang Y, Liu P, Danesh Yazdi M, Requia W, Steenland K, Chang H, Sarnat JA, Wang W, Zhang K, Zhao J and Schwartz J. Low-Concentration Air Pollution and Mortality in American Older Adults:A National Cohort Analysis (2001-2017). Environ Sci Technol 2022; 56(11):7194-7202. |
R835872 (2020) |
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Di Q, Rowland S, Koutrakis P, Schwartz J. (2017) A hybrid model for spatially and temporally resolved ozone exposures in the continental United States. J Air and Waste Management Association, 67.1:39-52. |
R835872C003 (2016) |
not available |
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Wang, Y., Shi, L.H., Lee, M., Liu, P.F., Di, Q., Zanobetti, A., and Schwartz, J. (2017). Long-term Exposure to PM2.5 and Mortality Among Older Adults in the Southeastern US. Epidemiology 28, 207-214. |
R835872C003 (2016) |
not available |
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Antonelli, J., Zigler, C., and Dominici, F. (2017). Guided Bayesian Imputation to Adjust for Confounding when Combining Heterogeneous Data Sources in Comparative Effectiveness Research. Biostatistics 1–16 doi:10.1093/biostatistics/kxx003, 1-16. |
R835872C005 (2016) |
not available |
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Tang C, Coull B, Schwartz J, Lyapustin A, Di Q, Koutrakis P (2016) Trends and Spatial Patterns of Fine Resolution AOD-Derived PM2.5 Emissions in the Northeast United States from 2002 to 2013. Journal of the Air Waste & Management Association. In press. http://dx.doi.org.ezp-prod1.hul.harvard.edu/10.1080/10962247.2016.1218393. |
R835872C001 (2016) |
not available |
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Di Q, Kloog I, Koutrakis P, Lyapustin A, Wang Y, Schwartz J (2016) Assessing PM2.5 exposures with high spatiotemporal resolution across the continental United States. Environmental Science & Technology, 50(9):4712-4721. |
R835872C001 (2016) |
not available |
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Henneman LR, Choirat C, Zigler CM. Accountability assessment of health improvements in the United States associated with reduced coal emissions between 2005 and 2012. Epidemiology,/em> 2019;30(4):477-485.. |
R835872 (2019) |
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Henneman LR, Dedoussi IC, Casey JA, Choirat C, Barrett SR, Zigler CM. Comparisons of simple and complex methods for quantifying exposure to individual point source air pollution emissions. Journal of Exposure Science & Environmental Epidemiology 2020:1-10. |
R835872 (2019) |
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Coull BA, Lee S, McGee G, Manjourides J, Mittleman MA and Wellenius GA. Corrections for measurement error due to delayed onset of illness for case-crossover designs. Biometrics 2019. |
R835872 (2019) |
not available |
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Lee K, Small DS, Dominici F. Discovering effect modification and randomization inference in air pollution studies. arXiv preprint arXiv:1802.06710. 2018 Feb 19. |
R835872 (2018) |
not available |
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Kim C, Henneman LR, Choirat C, Zigler CM. Health effects of power plant emissions through ambient air quality. Journal of the Royal Statistical Society:Series A. 2020. [Epub ahead of print]. |
R835872 (2019) |
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Di Q, Rowland S, Koutrakis P, Schwartz J (2017) A hybrid model for spatially and temporally resolved ozone exposures in the continental United States. Journal of the Air & Waste Management Association, 67(1):39-52. |
R835872C001 (2016) |
not available |
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Tang C, Coull B, Schwartz J, Lyapustin A, Di Q, Koutrakis P (2016) Developing Particle Emission Inventories Using Remote Sensing (PEIRS). Journal of the Air Waste & Management Association. In press. http://dx.doi.org.ezp-prod1.hul.harvard.edu/10.1080/10962247.2016.1214630. |
R835872C001 (2016) |
not available |
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Gao X, Koutrakis P, Blomberg AJ, Coull B, Vokonas P, Schwartz J, Baccarelli AA. Short-term ambient particle radioactivity level and renal function in older men:Insight from the Normative Aging Study. Environment International 2019;131:105018. |
R835872 (2019) |
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Liao SX, Zigler CM. Uncertainty in the design stage of two‐stage Bayesian propensity score analysis. Statistics in Medicine 2020. [Epub ahead of print]. doi:10.1002/sim.8486. |
R835872 (2019) |
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Supplemental Keywords:
particles, pollutant mixtures, pollution trends, regional pollution, public policy, data fusion
Relevant Websites:
GEOS-Chem output from Silvern et al. (2019) Exit
FIRECAM online tool allows users to track differences among fire emission inventories over time and map different inventories over selected regions Exit
Model codes from the UOGD effects on ambient PM radioactivity by Li et al. (2020) Exit
The following websites provide tools and data to implement methods and analyses developed during Project 4:
- DisperseR Exit
- hyspdisp Exit
- arepa Exit
- PM2.5-Nonattainment Exit
- airqualregs Dataverse (Harvard University) Exit
- DAPSm Exit
- DAPSm-Analysis Exit
- rinmap Exit
- SplitR Exit
- Posterior Predictive Treatment Assignment for Estimating Causal Effects with Limited Overlap Exit
- Causal inference with interfering units for cluster and population level treatment allocation programs Exit
Progress and Final Reports:
Original Abstract Subprojects under this Center: (EPA does not fund or establish subprojects; EPA awards and manages the overall grant for this center).
R835872C001 Project 1: Regional Air Pollution Mixtures: The Past and Future Impacts of Emission Controls and Climate Change on Air Quality and Health
R835872C002 Project 2: Air Pollutant Mixtures in Eastern Massachusetts: Spatial Multi-resolution Analysis of Trends, Effects of Modifiable Factors, Climate and Particle-induced Mortality
R835872C003 Project 3: Causal Estimates of Effects of Regional and National Pollution Mixtures on Health: Providing Tools for Policy Makers
R835872C004 A Causal Inference Framework to Support Policy Decisions by Evaluating the Effectiveness of Past Air Pollution Control Strategies for the Entire United States
R835872C005 Project 5: Projecting and Quantifying Future Changes in Socioeconomic Drivers of Air Pollution and its Health-Related Impacts
The perspectives, information and conclusions conveyed in research project abstracts, progress reports, final reports, journal abstracts and journal publications convey the viewpoints of the principal investigator and may not represent the views and policies of ORD and EPA. Conclusions drawn by the principal investigators have not been reviewed by the Agency.
Project Research Results
- Final Report
- 2021 Progress Report
- 2019 Progress Report
- 2018 Progress Report
- 2017 Progress Report
- 2016 Progress Report
- Original Abstract
306 journal articles for this center