2015 Progress Report: Multi-Scale Assessment of Health Effects of Air Pollution Mixtures Using Novel Measurements and Models

EPA Grant Number: R834799
Center: The Southeastern Center for Air Pollution and Epidemiology: Multiscale Measurements and Modeling of Mixtures
Center Director: Tolbert, Paige
Title: Multi-Scale Assessment of Health Effects of Air Pollution Mixtures Using Novel Measurements and Models
Investigators: Tolbert, Paige , Bergin, Michael , Bilonick, Richard , Chang, Howard , Darrow, Lyndsey , Diaz-Sanchez, David , Fitzpatrick, Anne , Flanders, Dana , Greenwald, Roby , Guensler, Randy , Hu, Yongtao , Klein, Mitchel , Liu, Yang , Mulholland, James , Nenes, Athanasios , Odman, Mehmet Talat , Russell, Armistead G. , Sarnat, Stefanie Ebelt , Sarnat, Jeremy , Strickland, Matthew J , Talbott, Evelynn , Waller, Lance , Weber, Rodney J. , Winquist, Andrea
Current Investigators: Tolbert, Paige , Barry, Vaughn , Bergin, Michael , Bilonick, Richard , Chang, Howard , Darrow, Lyndsey , Diaz-Sanchez, David , Flanders, Dana , Greenwald, Roby , Guensler, Randy , Hu, Yongtao , Klein, Mitchel , Liu, Yang , Mulholland, James , Nenes, Athanasios , Odman, Mehmet Talat , Russell, Armistead G. , Sarnat, Stefanie Ebelt , Sarnat, Jeremy , Strickland, Matthew J , Talbott, Evelynn , Waller, Lance , Weber, Rodney J. , Winquist, Andrea
Institution: Emory University , Duke University , Georgia Institute of Technology
EPA Project Officer: Chung, Serena
Project Period: January 1, 2011 through December 31, 2016
Project Period Covered by this Report: August 1, 2014 through July 31,2015
Project Amount: $7,999,779
RFA: Clean Air Research Centers (2009) RFA Text |  Recipients Lists
Research Category: Global Climate Change , Air Quality and Air Toxics , Air

Objective:

Project 1: Development and Deployment of an Instrumentation Suite for Comprehensive Air Quality Characterization, Including Aerosol ROS

Develop method(s) for measuring reactive oxygen species (ROS) online and semi-continuously, acquire instrumentation and organize measurement program. Undertake an extensive measurement campaign that will characterize spatial distributions of key air quality parameters to inform the Southeastern Center for Air Pollution and Epidemiology (SCAPE) modeling and health studies.

Project 2: Examining In-Vehicle Pollution and Oxidative Stress in a Cohort of Daily Commuters

Examine the effects of exposure to particulate mixtures occurring during automobile commuting and within indoor, non-commuting microenvironments and corresponding measures of oxidative stress-mediated response.

Project 3: Novel Estimates of Pollutant Mixtures and Pediatric Health in Two Birth Cohorts

Explore the interplay between certain early life events, characterizations of air pollutant mixtures developed as part of the Center's Mixtures Characterization Toolkit (MC Toolkit), and a range of pediatric health outcomes using two large, population-based birth cohorts.

Project 4: A Multi-City Time-Series Study of Pollutant Mixtures and Acute Morbidity

Conduct a multi-city time-series study to clarify the impacts of air quality on acute cardiorespiratory morbidity in five U.S. cities using novel mixture characterization metrics.

Core B: Air Quality Core

Provide SCAPE researchers with the methods and data to comprehensively characterize air pollutants relevant to the four projects and other cores. Project activities are supported by collecting and managing atmospheric data, developing the MC Toolkit for further analyses specific to the projects, and providing the expertise and resources to facilitate the application of the various components of the toolkit. Comprehensive characterization of air pollutants is developed by analyses of the detailed chemical and physical measurements conducted by the Center, along with those available from ambient air quality monitoring networks and special field campaigns. Spatial and temporal characterization of the air pollutant mixtures and emission sources are determined by using extended receptor-oriented models, chemical transport models, regression approaches, hybrid methods and remote sensing applied over multiple scales.

Core C: Biostatistics Core

Provide statistical support to the Center and to the associated Projects.

Collaborative Project 1: Characterization of Primary and Secondary Traffic-Related Particles (Collaborators: Harvard and SCAPE)

The objective of this collaborative project is to characterize the composition of tunnel primary, secondary and aged primary plus secondary aerosols generated for exposures in Harvard’s toxicology study (Project 1). Dr. Sally Ng from Georgia Institute of Technology (Georgia Tech) and doctoral student Matt Kollman collaborated with Harvard Clean Air Research Center (CLARC) researchers on this effort, using an Aerosol Chemical Speciation Monitor (ACSM) provided by Aerodyne Inc. The ACSM provides quantitative measurement of nonrefractory submicron aerosol composition, including mass spectra, with a time resolution on the order of 15–30 minutes. The ACSM measures organics, nitrate, sulfate, ammonium and chloride. The extent of oxidation of chamber aerosols can also be determined semi-continuously from the mass fraction m/z 44 (CO2+), allowing measurement of the evolution of O/C over the course of each experiment.

Collaborative Project 2: Mobile and Fixed-Site Characterization of Vehicle Emission Impacts in Atlanta, Georgia (Collaborators: SCAPE, Center for Clean Air Research [CCAR], and the U.S. Environmental Protection Agency [EPA])

The goals of this collaborative project are to compare instruments and methods for characterizing vehicle emissions, personal exposures and spatial distributions by deploying the CCAR measurement platform and sampling protocols in Atlanta for a 16-day period and to compare a limited set of spatially intensive mobile and fixed site measurements of selected pollutants with downscaled Community Multiscale Air Quality (CMAQ) predictions in Atlanta.

Collaborative Project 3: Inter-Comparison of Ambient PM2.5 Estimation Models in North Carolina (Collaborators: SCAPE, Harvard, CCAR, and EPA)

The goal of this effort is to summarize the strengths and limitations of current satellite-driven fine particulate matter (PM2.5) exposure models and CMAQ PM2.5 simulations, and to identify directions for future model development and applications in various population-based health effects studies. There are six candidate models to be evaluated: (1) Koutrakis group's mixed effects model, (2) Chang's spatial downscaler,(3) Liu group's mixed effects model, (4) University of Washington (UW)/CCAR group's spatiotemporal model, and (5) Russell group's CMAQ PM2.5 simulation.

Collaborative Project 4: Measurement Error for Air Pollution Cohort Studies: Application and Comparison of Several Statistical Methods to Georgia Birth Cohort Data (Collaborators: CCAR and SCAPE, possibly Harvard in the future)

The project will consider three statistical approaches to account for measurement error arising from spatiotemporal exposure prediction models. These statistical approaches will be developed and applied to examine linear associations between ambient PM2.5 concentrations and birth weight among full-term births using Georgia statewide geocoded birth records.

Progress Summary:

Project 1: Development and Deployment of an Instrumentation Suite for Comprehensive Air Quality Characterization, Including Aerosol ROS

  1. We published seven papers; five more are in preparation.
  2. We presented research results at conferences (15 presentations). We chaired a symposium (Chairs V. Verma and R. Weber) at the American Association for Aerosol Research (AAAR) conference in October 2014 on aerosol health effects.
  3. We developed, constructed and tested an online water-soluble dithiothreitol (DTT) analytical instrument.
  4. We performed experiments to quantify the stability of DTT on archived filters.

Project 2: Examining In-Vehicle Pollution and Oxidative Stress in a Cohort of Daily Commuters

  1. We completed initial sample analysis and features extractions on all Atlanta Commuters Exposure Study Project 2 (ACE-2) metabolomics.
  2. We completed a draft of our primary Project 2 epidemiology paper with a target submission date of October 2015. Findings showed elevated CRP and reduced lung function associated with highway commutes relative to controlled exposure scenarios.
  3. We completed a draft manuscript on the comparison of ACE cytokine in dried blood spots (ELISA) versus plasma electrochemiluminescence. Target submission date: November 2015.
  4. We submitted three abstracts to the International Society for Environmental Epidemiology (ISEE) and two to the International Society of Exposure Science (ISES).
  5. We published an asthma status modification paper (Mirabelli, et al., 2015, Epidemiology) showing effect measure modification by asthma control status on eNO and lung function following highway commutes.
  6. We conducted Positive Matrix Factorization (PMF) on in-vehicle commutes and included output in source apportionment epidemiologic models. Results showed significant decrements in lung function and suggestive elevations in eNO most associated with a factor of in-vehicle PM that was highly enriched with transition metal species.

Project 3: Novel Estimates of Pollutant Mixtures and Pediatric Health in Two Birth Cohorts

  1. We published associations of ambient air pollution with several different types of respiratory emergency visits among children age 0–4 years in Atlanta (Darrow, et al., 2014, Am J Epidemiol), which received the 2014 Society of Toxicology Occupational Public Health Specialty Section Paper of the Year award. We also published a related manuscript describing the relationship between emergency visits for bronchiolitis during infancy and subsequent risk of emergency visits for asthma after age 5 in Georgia (Strickland, et al., 2014, Pediatr Perinat Epidemiol).
  2. We published joint effects estimates for NO2, ozone and PM2.5 using classification and regression trees for pediatric asthma emergency visits in a three-city study (Atlanta, GA; Dallas, TX; St. Louis, MO) (Gass, et al., 2015, Environ Health).
  3. We published pediatric asthma emergency visits analyses using the Bayesian ensemble source apportionment estimates in Atlanta (Gass, et al., 2015, Am J Epidemiol).
  4. Georgia analyses of fused CMAQ estimated in relation to preterm birth were accepted for publication at Environmental Health Perspectives on June 19, 2015.
  5. Georgia analyses of satellite-derived PM2.5 and emergency visits for pediatric respiratory disease were accepted for publication at Environmental Health Perspectives on May 21, 2015.
  6. We published Atlanta time-series analyses using mixtures estimated from self-organizing maps (Pearce, et al., 2015, Environ Health).
  7. A manuscript describing the fusion of observational data with chemical transport model simulations and a manuscript describing the link between reactive oxygen species and cardiorespiratory effects are undergoing peer review.
  8. Preliminary results were generated for a Georgia-wide analysis of pediatric emergency department (ED) visits and fused CMAQ estimates, and a first draft manuscript has been prepared.
  9. We finalized the Research Line model (RLINE) air quality model for estimating PM2.5 from traffic emissions in Atlanta for use in the Kaiser Permanente analyses.
  10. We presented preliminary results for associations between RLINE estimates and incidence of asthma in the Kaiser Permanente cohort at the 2015 Society for Epidemiologic Research annual meeting.

Project 4: A Multi-City Time-Series Study of Pollutant Mixtures and Acute Morbidity

  1. We continued efforts on the application of spatially refined modeled estimates of ambient concentrations in multi-city epidemiologic analyses, including satellite-derived air quality estimates and the SCAPE data fusion approach (Friberg, et al., submitted to ES&T) in health effect analyses and compared results with use of traditional monitoring-based exposure assignment approaches (Chang, et al., APHA 2014; Sarnat, et al., ENV-VISION 2015; Sarnat, et al., ISEE Conference 2015).
  2. We continued work on methods for detecting and analyzing air pollution mixtures using multipollutant monitoring data, including classification and regression trees (Gass, et al., 2015); self-organizing maps (Pearce, et al., 2014; Pearce, et al., 2015; Pearce, et al., ISEE Conference 2015); joint effects and other approaches to estimating the effects of pollutant groups (Ye, et al., ISEE Conference 2015); examination of the effect of ROS on health using retrospectively predicted DTT activity (Bates, et al., submitted to ES&T; Bates, et al., CMAS 2015, abstract pending; Bates, et al., AAAR 2015); and estimating and comparing effects of sources of PM2.5 across multiple cities (Krall, et al., submitted to EHP; Krall, et al. JSM 2015).
  3. We continued work on examining detailed PM2.5 components data in epidemiologic analyses (Sarnat, et al., 2015; Ye, et al., ISEE Conference 2015; Krall, et al., submitted to CEHR).
  4. We conducted preliminary multi-city analyses examining the shape of concentration-response functions using categorical pollution indicators.
  5. We assessed potential modifiers of the effects of ambient air pollution on health, including age (Alhanti, et al., accepted at JESEE), neighborhood socioeconomic factors (O’Lenick, et al., submitted to JECH; O’Lenick, et al., SER 2015), air exchange rates and season.

Core B: Air Quality Core

  1. We hosted a workshop on Spatiotemporal Multipollutant Characterization Methods following the 2014 CLARC annual meeting in Atlanta.
  2. We are leading the preparation of a manuscript covering the various spatiotemporal pollutant modeling methods used by the CLARCs as part of their research.
  3. The uniquely large data set of ROS, as measured using a DTT assay and advanced as part of Project 1, was modeled using the ensemble-trained chemical mass balance method to develop source-ROS relationships. Those relationships were used to simulate historical trends in ambient PM2.5 DTT-activity. The modeled historical trend in ROS was then used in an epidemiological analysis in Atlanta using a long term ED record to assess the association between ROS (as measured using the DTT assay) and various health outcomes.
  4. An analysis similar to the above was carried out using ROS measured using the AA assay, and the results were provided to Emory as part of Project 4.
  5. The OBS-CMAQ data fusion method (described last year) has been applied to the five Project 4 cities. The method was written up in manuscript form and was submitted for publication.
  6. The same data fusion methodology was applied to North Carolina for comparison as part of the Harvard-Georgia Tech satellite method intercomparison. This work is still in progress.
  7. Working with the Atlanta Regional Council (ARC) and the Environmental Protection Division (EPD) of the Georgia Department of Natural Resources, we have analyzed their RLINE dispersion modeling results using our CMB mobile source impacts at monitors in Atlanta, as well as the OBS-CMAQ data fusion/with the Integrated Mobile Source Indicator (IMSI) to rescale the RLINE results to more closely follow observations.
  8. Using the rescaled ARC/EPD RLINE results, mapped to 250 m resolution grids, we have explored various methods to provide researchers in Project 3 with 250 m resolution PM2.5 fields. Methods examined include (a) use of Emory's statistical downscaler using satellite observations or CMAQ model results and the RLINE results and combining, and (b) directly combining RLINE and the OBS-CMAQ fields.
  9. We applied the CMAQ-Decoupled Direct Method (CMAQ-DDM) model, described last year in the progress report as well as in a publication, to additional years to determine the source impact for 40 PM2.5 species from 20 source categories in the 36-km continental United States (CONUS) domain. We also have been investigating how to better correct source impacts for secondary aerosol formation and to improve source profiles.
  10. We developed multipollutant CMAQ fields for the 2013 period when the UWCCAR was conducting its collaborative measurements in Atlanta. The CMAQ fields were provided to CCAR. Both of our teams have compared CCAR's observations to our modeled results, as well as to our fixed site measurements.

Core C: Biostatistics Core

As part of and in addition to their participation in SCAPE research projects, members of the Biostatistics Core participated in a number of peer-reviewed publications and presentations relating to development and application of advanced epidemiologic and statistical methods. Core contributions include—

  1. Ten new peer-reviewed publications were published and two additional ones were accepted for publication; multiple presentations were given at national conferences.
  2. Postdoctoral researcher Jenna Krall and Project 3 PI Matthew Strickland presented their analyses of health effects of pollutant mixtures as part of an invitation-only workshop on mixture analysis by the National Institute of Environmental Health Sciences. Additional analyses by Core Director Lance Waller were also included as a poster.

Collaborative Project 1: Characterization of Primary and Secondary Traffic-Related Particles (Collaborators: Harvard and SCAPE)

For exposures conducted during the collaboration, the ACSM was operated continuously. The goal was to provide complementary chemical data, including near real-time determination of the contribution of primary and secondary aerosols, as well as the extent of oxidation over the course of each experiment. An additional goal of the collaboration was to provide information about the atmosphere inside the photochemical chamber and how the secondary products relate to those found in the atmosphere. To do this, the ACSM was operated through the normal startup procedures of the photochemical chamber during the primary plus secondary organic aerosol (P+SOA) and SOA-only atmospheres, as well as with the primary tunnel particles (P), to evaluate the changes observed in aerosol evolution as the photochemical chamber output stabilized prior to exposures. During this portion of the study, additional measurements collocated with the ACSM were made, including integrated particle mass, EC/OC, and trace elemental concentrations, as well as continuous particle size distribution using a Scanning Mobility Particle Sizer (SMPS).

During animal exposures, measurements were made at the point of exposure, including integrated particle mass, EC/OC, and trace elemental concentrations, as well as continuous particle size distribution using an SMPS. During the hours where animals were not being exposed, a collocated SMPS along with the ACSM were operated, but the remaining chamber output was utilized for collecting samples for analysis for reactive oxygen species.

The data analysis has been completed. We are preparing a manuscript. Below is a summary of the main findings from this study:

  1. There are some variations in the organic aerosol loading in each exposure environment. The loadings are fairly constant for P only (9.4 µg/m3) and P+SOA (2.1 µg/m3). However, for the SOA-only atmosphere, there is a clear diurnal cycle in the organic aerosol loading (highest around midnight). The average organic loading for the SOA-only system is also the highest among the three systems, at 13 µg/m3.
  2. Results from PMF analysis of each system reveal the presence of highly oxygenated organic aerosols (OOA) in all exposure environments. Surprisingly, even the P-only system contains a fair amount of OOA. This could result from the mixing of ambient air with the tunnel air prior to entering the chamber. We resolve an aromatic-type OOA factor, which has not been resolved in prior studies. The high levels of aromatic hydrocarbons under these exposure environments and the lack of biogenic influences likely make the aromatic OOA more distinctive in this study. Hydrocarbon-like OA (HOA) is only resolved in the P-only system and P+SOA system, which is expected.
  3. The total DTT activity of the aerosols increases with the OC content of the sample.
  4. The intrinsic DTT activity of the aerosols formed in the three test environments are comparable. While the SOA system has the highest intrinsic DTT activity, it also has the largest variation, which could be a result of the more diverse source of SOA.
  5. The intrinsic DTT activity of traffic aerosols in this study is comparable to ambient PM and oxidized OOA in Atlanta.
  6. Results from this study clearly demonstrate that organic aerosols alone can generate ROS. Many prior studies attributed DTT activity of ambient aerosols to metals. In this study, the SOA system does not contain any metals but still exhibits a similar level of DTT activity compared to the other two systems.

Collaborative Project 2: Mobile and Fixed-Site Characterization of Vehicle Emission Impacts in Atlanta (Collaborators: SCAPE, CCAR, and EPA)

We have been working with our CCAR collaborators to evaluate how well the ambient monitoring network and emissions-based regional scale (CMAQ chemical transport model) and local scale (RLINE dispersion model) compare with mobile platform measurements of air pollutant concentration gradients in metropolitan Atlanta. The CCAR mobile platform measurements taken in September 2013 included “fuzzy point” characterizations and three trips originating and ending at an Atlanta central monitor location (Jefferson Street, SEARCH monitor). One trip included a southeastern segment of the Atlanta perimeter highway from the airport to a CSN monitoring site. A second route included taking the I-75/I-85 connector to a large highway intersection (“spaghetti junction”) in northeastern Atlanta. A third route extended 60 km west to the rural SEARCH monitor at Yorkville.

Fuzzy point medians were compared with ambient monitor measurements and 4-km, 1-hr CMAQ predictions for NO2, NOx, ozone, black carbon, and nephelometer measurements. Pearson R-squared values for fuzzy point assessments with ambient measurements ranged from 0.37 to 0.89. R-squared values were lower when compared with CMAQ predictions due to the lack of spatial and temporal resolution of the CMAQ predictions, as well as model limitations. Comparison of trip measurements with RLINE predictions and with roadside stationary measurements is ongoing. Passive badge data will also be evaluated to assess pollutant gradients.

Collaborative Project 3: Inter-Comparison of Ambient PM2.5 Estimation models in North Carolina (Collaborators: SCAPE, Harvard, CCAR, and EPA)

We have designed a modeling domain centered in North Carolina for the 2006–2008 time period. To facilitate model cross-comparison, a common input dataset was compiled by Liu group, including MODIS total Aerosol Optical Depth (AOD) values, derived meteorological parameters and, from the UW database, GIS-based spatial covariates. This was distributed to all participating research teams. A common master modeling grid at 10-km resolution was developed by Liu group and shared by all teams. A set of common procedures and statistics will be jointly developed by all participating teams to evaluate model performance. After preliminary results are generated, each team will document their model development in sufficient detail for other teams to reproduce their results. The estimated deliverable of this project will be a manuscript to report evaluation results.

As of June 2015, the Emory team has worked with the Harvard team to generate the final model development and prediction datasets using MODIS collection 6 AOD data at 10 km resolution over North Carolina for the proposed study period. Quality flags are included to mark potential outliers. The Emory team has completed model development with the updated dataset using Chang's spatial downscaler and Liu group's mixed effects model. The Harvard and UW teams will complete their model runs in August. National scale evaluation of the quality of various MODIS collection 6 AOD parameters are underway. In addition, Air Quality Core personnel have applied the OBS-CMAQ fusion approach to the domain, conducted data withholding cross validation and compared the results to the Emory AOD-based method. The Emory team is working to process Georgia Tech's CMAQ output.

Collaborative Project 4: Measurement Error for Air Pollution Cohort Studies: Application and Comparison of Several Statistical Methods to Georgia Birth Cohort Data (Collaborators: CCAR and SCAPE, possibly Harvard in the future)

Emory investigators have successfully applied UW's spatiotemporal exposure model to predict ambient PM2.5 concentrations across the state of Georgia. The exposures were linked to individual birth records at the Census blockgroup level. Preliminary health analyses were conducted and the results were discussed among collaborators across CLARC centers during the Annual Meeting. Pending final sensitivity studies by Emory investigators, this component of the health analysis is complete and development of Bayesian measurement error methods will begin. UW has begun replicating Emory’s analysis and has put in place software and procedure for applying the parameter bootstrap to assess bias and/or inflated standard errors from measurement error.

Future Activities:

Project 1: Development and Deployment of an Instrumentation Suite for Comprehensive Air Quality Characterization, Including Aerosol ROS

  1. Continue to analyze data, complete 6 manuscripts currently in progress and present results at meetings.
  2. Verify performance of online water-soluble DTT instrument.
  3. Develop and verify method for measurement of total DTT on filter samples.

Project 2: Examining In-Vehicle Pollution and Oxidative Stress in a Cohort of Daily Commuters

  1. Complete analyses of all ACE-2 pollutant and health endpoints.
  2. Complete and submit draft manuscripts currently in preparation of ACE-1 and initial ACE-2 data. The manuscripts include analyses of—

  • Correlations between noise and in-vehicle particulate pollution in ACE-1 (Ladva, et al.);
  • Frequency of traffic pollution events and corresponding health response in ACE-2 (Greenwald, et al.);
  • Associations between salivary cortisol and perceived stress in ACE-1 and ACE-2 (Raysoni, et al.);
  • Associations between breath and blood MDA in ACE-1 (Golan, et al.);
  • Associations between exposures and acute response in ACE-2 (Golan, et al.); and
  • Conduct ACE-2 epidemiologic analyses on changes in metabolomic profiles.

Project 3: Novel Estimates of Pollutant Mixtures and Pediatric Health in Two Birth Cohorts

  1. Ensure all manuscripts currently in peer review process are published.
  2. Finalize analyses and submit manuscript for statewide pediatric ED visit and fused CMAQ analysis.
  3. Finalize analyses and submit manuscript for statewide birth weight analyses.
  4. Prepare and submit a manuscript describing the RLINE model estimates in Atlanta.
  5. Prepare and submit a manuscript on the Kaiser Permanente asthma incidence analyses.
  6. Examine associations between pregnancy exposures to PM2.5 from traffic and asthma in the Kaiser Permanente cohort.
  7. Further sub-analyses of both cohorts.

Project 4: A Multi-City Time-Series Study of Pollutant Mixtures and Acute Morbidity

  1. Incorporate Pittsburgh, Pennsylvania data in multi-city epidemiologic analyses.
  2. Ensure currently submitted manuscripts are published.
  3. Submit three to five manuscripts currently in preparation and planned.
  4. Continue several analyses focused on assessment of mixtures and effect modification in the single- and multi-city context.

Core B: Air Quality Core

  1. Complete application of the CMAQ-CMB hybrid method to the entire 10 year period (2002–2012) to provide source-specific impact fields for the CONUS.
  2. Use the CMAQ-Hybrid results and the ROS observations, both using the DTT and AA assays from Project 1, to develop source-specific ROS impacts. The resulting associations will then be used to develop long-term national trends in ROS for use in an acute health association analysis as part of Project 4.
  3. Finish the application of the OBS-CMAQ fusion approach to the North Carolina area as part of the Harvard-GIT-EPA collaboration. Apply to EC, NO2 and CO. Use the EC, CO and NO2 results to estimate mobile source impacts using the IMSI approach. Conduct more thorough evaluation of the method and further comparison to the satellite-based approaches.
  4. Provide further support to Project 3 in terms of using CMAQ, satellite observations and RLINE to develop fine scale fields.
  5. Provide further support to Project 4 to estimate source impacts at the five SCAPE cities.
  6. Provide further support to Project 1 to analyze their observational results.
  7. Continue working with CCAR on the collaborative. We will apply RLINE at a fine scale to provide more detailed multipollutant data for comparison to their observations and to CMAQ.

Core C: Biostatistics Core

  1. Continue to work very closely with all SCAPE Projects. High-priority efforts include—
  • Linking Air Quality Core and Project 1 exposure measures to the epidemiologic Projects 3 and 4; and
  • Evaluating quantitative summaries of physiologic responses to scripted commutes in Project 2.

      2. Provide statistical support for ongoing epidemiologic analyses of ambient air pollution and preterm birth, pediatric emergency department visits, and birth weight (part of the     measurement error collaboration with CCAR).

      3. Lead development of methodological projects, including a manuscript concerning partial reduction of unmeasured confounding (by using the future exposure indictor approach originally proposed by members of the Core, Klein and Flanders, and featured in a series of publications by the group).

 


Journal Articles: 100 Displayed | Download in RIS Format

Other center views: All 302 publications 104 publications in selected types All 100 journal articles
Type Citation Sub Project Document Sources
Journal Article Alhanti BA, Chang HH, Winquist A, Mulholland JA, Darrow LA, Sarnat SE. Ambient air pollution and emergency department visits for asthma:a multi-city assessment of effect modification by age. Journal of Exposure Science & Environmental Epidemiology 2016;26(2):180-188. R834799 (2015)
R834799 (2016)
R834799 (Final)
R834799C004 (2015)
R834799C004 (Final)
  • Abstract from PubMed
  • Full-text: Nature.com - Full Text HTML
    Exit
  • Abstract: SpringerNature-Abstract
    Exit
  • Other: Nature.com - Full Text PDF
    Exit
  • Journal Article Balachandran S, Pachon JE, Hu Y, Lee D, Mulholland JA, Russell AG. Ensemble-trained source apportionment of fine particulate matter and method uncertainty analysis. Atmospheric Environment 2012;61:387-394. R834799 (2012)
    R834799 (2013)
    R834799 (2014)
    R834799 (2015)
    R834799 (2016)
    R834799 (Final)
    R834799C003 (2013)
    R834799C003 (2014)
    R834799C003 (2015)
    R834799C003 (Final)
    R834799C004 (2013)
    R834799C004 (2014)
    R834799C004 (2015)
    R834799C004 (Final)
    R833866 (2012)
    R833866 (Final)
  • Full-text: ScienceDirect-Full Text HTML
    Exit
  • Abstract: ScienceDirect-Abstract
    Exit
  • Other: ScienceDirect-Full Text PDF
    Exit
  • Journal Article Balachandran S, Chang HH, Pachon JE, Holmes HA, Mulholland JA, Russell AG. Bayesian-based ensemble source apportionment of PM2.5. Environmental Science & Technology 2013;47(23):13511-13518. R834799 (2014)
    R834799 (2015)
    R834799 (2016)
    R834799 (Final)
    R834799C003 (2013)
    R834799C003 (2014)
    R833866 (Final)
  • Abstract from PubMed
  • Full-text: ES&T-Full Text HTML
    Exit
  • Abstract: ES&T-Abstract
    Exit
  • Other: ES&T-Full Text PDF
    Exit
  • Journal Article Balachandran S, Pachon JE, Lee S, Oakes MM, Rastogi N, Shi W, Tagaris E, Yan B, Davis A, Zhang X, Weber RJ, Mulholland JA, Bergin MH, Zheng M, Russell AG. Particulate and gas sampling of prescribed fires in South Georgia, USA. Atmospheric Environment 2013;81:125-135. R834799 (2015)
    R834799 (2016)
    R834799 (Final)
    R833866 (Final)
  • Full-text: ScienceDirect-Full Text HTML
    Exit
  • Abstract: ScienceDirect-Abstract
    Exit
  • Other: ScienceDirect-Full Text PDF
    Exit
  • Journal Article Bates JT, Weber RJ, Abrams J, Verma V, Fang T, Klein M, Strickland MJ, Sarnat SE, Chang HH, Mulholland JA, Tolbert PE, Russell AG. Reactive oxygen species generation linked to sources of atmospheric particulate matter and cardiorespiratory effects. Environmental Science & Technology 2015;49(22):13605-13612. R834799 (2015)
    R834799 (2016)
    R834799 (Final)
    R834799C001 (Final)
    R834799C003 (Final)
    R834799C004 (2015)
    R834799C004 (Final)
  • Abstract from PubMed
  • Full-text: ES&T-Full Text HTML
    Exit
  • Abstract: ES&T-Abstract
    Exit
  • Other: ES&T-Full Text PDF
    Exit
  • Journal Article Baxter LK, Dionisio KL, Burke J, Sarnat SE, Sarnat JA, Hodas N, Rich DQ, Turpin BJ, Jones RR, Mannshardt E, Kumar N, Beevers SD, Ozkaynak H. Exposure prediction approaches used in air pollution epidemiology studies: key findings and future recommendations. Journal of Exposure Science & Environmental Epidemiology 2013;23(6):654-659. R834799 (2014)
    R834799 (2015)
    R834799 (2016)
    R834799 (Final)
    R834799C004 (2013)
    R834799C004 (2014)
    R834799C004 (2015)
    R834799C004 (Final)
    R833865 (Final)
  • Full-text from PubMed
  • Abstract from PubMed
  • Associated PubMed link
  • Full-text: ResearchGate-Full Text HTML
    Exit
  • Abstract: Nature Publishing-Abstract
    Exit
  • Other: ResearchGate-Full Text PDF
    Exit
  • Journal Article Bergin MH, Tripathi SN, Jai Devi J, Gupta T, Mckenzie M, Rana KS, Shafer MM, Villalobos AM, Schauer JJ. The discoloration of the Taj Mahal due to particulate carbon and dust deposition. Environmental Science & Technology 2015;49(2):808-812. R834799 (2015)
    R834799 (2016)
    R834799 (Final)
    R834799C002 (2015)
    R834799C002 (Final)
    R835039 (Final)
  • Abstract from PubMed
  • Full-text: ResearchGate-Abstract & Full Text PDF
    Exit
  • Abstract: ES&T-Abstract
    Exit
  • Other: ES&T-Full Text PDF
    Exit
  • Journal Article Brown MS, Sarnat SE, DeMuth KA, Brown LAS, Whitlock DR, Brown SW, Tolbert PE, Fitzpatrick AM. Residential proximity to a major roadway is associated with features of asthma control in children. PLoS ONE 2012;7(5):e37044 ( pp.). R834799 (2012)
    R834799 (2013)
    R834799 (2014)
    R834799 (2015)
    R834799 (2016)
    R834799 (Final)
    R834799C002 (2013)
    R834799C002 (2014)
    R834799C002 (2015)
    R834799C002 (Final)
    R834799C004 (2012)
    R834799C004 (2013)
    R834799C004 (2014)
    R834799C004 (2015)
    R834799C004 (Final)
  • Full-text from PubMed
  • Abstract from PubMed
  • Associated PubMed link
  • Full-text: PLoS ONE-Full Text-PDF
    Exit
  • Abstract: PLoS ONE-Abstract & Full Text-HTML
    Exit
  • Journal Article Budisulistiorini SH, Canagaratna MR, Croteau PL, Baumann K, Edgerton ES, Kollman MS, Ng NL, Verma V, Shaw SL, Knipping EM, Worsnop DR, Jayne JT, Weber RJ, Surratt JD. Intercomparison of an Aerosol Chemical Speciation Monitor (ACSM) with ambient fine aerosol measurements in downtown Atlanta, Georgia. Atmospheric Measurement Techniques 2014;7(7):1929-1941. R834799 (2015)
    R834799 (2016)
    R834799 (Final)
    R834799C001 (2015)
    R834799C001 (Final)
  • Full-text: AMT-Full Text PDF
    Exit
  • Abstract: AMT-Abstract
    Exit
  • Other: Harvard University-Abstract
    Exit
  • Journal Article Chang HH, Reich BJ, Miranda ML. A spatial time-to-event approach for estimating associations between air pollution and preterm birth. Journal of the Royal Statistical Society:Series C (Applied Statistics) 2013;62(2):167-179. R834799 (2014)
    R834799 (2016)
    R834799 (Final)
    R834799C002 (2014)
    R834799C003 (2013)
    R834799C003 (2014)
    R833293 (2011)
    R833293 (2012)
    R833293 (Final)
    R833293C001 (2011)
    R833293C001 (Final)
    R833293C002 (2011)
    R833293C002 (Final)
  • Full-text from PubMed
  • Abstract from PubMed
  • Associated PubMed link
  • Full-text: University of Michigan-Full Text PDF
    Exit
  • Abstract: Wiley-Abstract
    Exit
  • Journal Article Chang HH, Hu X, Liu Y. Calibrating MODIS aerosol optical depth for predicting daily PM2.5 concentrations via statistical downscaling. Journal of Exposure Science & Environmental Epidemiology 2014;24(4):398-404. R834799 (2014)
    R834799 (2015)
    R834799 (2016)
    R834799 (Final)
    R834799C003 (2013)
    R834799C003 (2014)
    R834799C003 (2015)
    R834799C003 (Final)
  • Full-text from PubMed
  • Abstract from PubMed
  • Associated PubMed link
  • Full-text: ResearchGate-Abstract & Full Text HTML
    Exit
  • Abstract: JESEE-Abstract
    Exit
  • Other: Emory University-Full Text PDF
    Exit
  • Journal Article Chang HH, Hao H, Sarnat SE. A statistical modeling framework for projecting future ambient ozone and its health impact due to climate change. Atmospheric Environment 2014;89:290-297. R834799 (2014)
    R834799 (2015)
    R834799 (2016)
    R834799 (Final)
    R834799C004 (2014)
    R834799C004 (2015)
    R834799C004 (Final)
  • Full-text from PubMed
  • Abstract from PubMed
  • Associated PubMed link
  • Full-text: ScienceDirect-Full Text HTML
    Exit
  • Abstract: ScienceDirect-Abstract
    Exit
  • Other: ScienceDirect-Full Text PDF
    Exit
  • Journal Article Chang HH, Warren JL, Darrow LA, Reich BJ, Waller LA. Assessment of critical exposure and outcome windows in time-to-event analysis with application to air pollution and preterm birth study. Biostatistics 2015;16(3):509-521. R834799 (2015)
    R834799 (2016)
    R834799 (Final)
    R834799C003 (2015)
    R834799C003 (Final)
  • Abstract from PubMed
  • Full-text: Oxford Academic-Full Text HTML
    Exit
  • Abstract: Oxford Academic-Abstract
    Exit
  • Other: Oxford Academic-Full Text PDF
    Exit
  • Journal Article Chen T, Sarnat SE, Grundstein AJ, Winquist A, Chang HH. Time-series analysis of heat waves and emergency department visits in Atlanta, 1993 to 2012. Environmental Health Perspectives 2017;125(5):057009 (9 pp.). R834799 (2016)
    R834799 (Final)
    R834799C004 (Final)
  • Abstract from PubMed
  • Full-text: EHP-Full Text HTML
  • Abstract: EHP-Abstract
  • Other: EHP-Full Text PDF
  • Journal Article Darrow LA, Hess J, Rogers CA, Tolbert PE, Klein M, Sarnat SE. Ambient pollen concentrations and emergency department visits for asthma and wheeze. Journal of Allergy and Clinical Immunology 2012;130(3):630-638. R834799 (2012)
    R834799 (2013)
    R834799 (2014)
    R834799 (2015)
    R834799 (2016)
    R834799 (Final)
    R834799C004 (2012)
    R834799C004 (2013)
    R834799C004 (2014)
    R834799C004 (2015)
    R834799C004 (Final)
  • Full-text from PubMed
  • Abstract from PubMed
  • Associated PubMed link
  • Full-text: JACI-Full Text HTML
    Exit
  • Abstract: JACI-Abstract
    Exit
  • Other: JACI-Full Text PDF
    Exit
  • Journal Article Darrow LA, Klein M, Flanders WD, Mulholland JA, Tolbert PE, Strickland MJ. Air pollution and acute respiratory infections among children 0-4 years: an 18-year time-series study. American Journal of Epidemiology 2014;180(10):968-977. R834799 (2015)
    R834799 (2016)
    R834799 (Final)
    R834799C003 (2015)
    R834799C003 (Final)
  • Full-text from PubMed
  • Abstract from PubMed
  • Associated PubMed link
  • Full-text: Oxford Academic-Full Text HTML
    Exit
  • Abstract: Oxford Academic-Abstract
    Exit
  • Other: Oxford Academic-Full Text PDF
    Exit
  • Journal Article Dionisio KL, Isakov V, Baxter LK, Sarnat JA, Sarnat SE, Burke J, Rosenbaum A, Graham SE, Cook R, Mulholland J, Ozkaynak H. Development and evaluation of alternative approaches for exposure assessment of multiple air pollutants in Atlanta, Georgia. Journal of Exposure Science & Environmental Epidemiology 2013;23(6):581-592. R834799 (2014)
    R834799 (2015)
    R834799 (2016)
    R834799 (Final)
    R834799C004 (2013)
    R834799C004 (2014)
    R834799C004 (2015)
    R834799C004 (Final)
  • Abstract from PubMed
  • Full-text: ResearchGate-Full Text HTML
    Exit
  • Abstract: JESEE-Abstract
    Exit
  • Other: ResearchGate-Full Text PDF
    Exit
  • Journal Article Dionisio KL, Baxter LK, Chang HH. An empirical assessment of exposure measurement error and effect attenuation in bipollutant epidemiologic models. Environmental Health Perspectives 2014;122(11):1216-1224. R834799 (2014)
    R834799 (2015)
    R834799 (2016)
    R834799 (Final)
    R834799C004 (2014)
    R834799C004 (2015)
    R834799C004 (Final)
  • Full-text from PubMed
  • Abstract from PubMed
  • Associated PubMed link
  • Full-text: EHP-Full Text PDF
  • Abstract: EHP-Abstract & Full Text HTML
  • Journal Article Fang T, Verma V, Guo H, King LE, Edgerton ES, Weber RJ. A semi-automated system for quantifying the oxidative potential of ambient particles in aqueous extracts using the dithiothreitol (DTT) assay: results from the Southeastern Center for Air Pollution and Epidemiology (SCAPE). Atmospheric Measurement Techniques 2015;8(1):471-482. R834799 (2015)
    R834799 (2016)
    R834799 (Final)
    R834799C001 (2015)
    R834799C001 (Final)
  • Full-text: AMT-Full Text PDF
    Exit
  • Abstract: AMT-Abstract
    Exit
  • Other: Harvard University-Abstract
    Exit
  • Journal Article Fang T, Guo H, Verma V, Peltier RE, Weber RJ. PM2.5 water-soluble elements in the southeastern United States: automated analytical method development, spatiotemporal distributions, source apportionment, and implications for heath studies. Atmospheric Chemistry and Physics 2015;15(20):11667-11682. R834799 (2015)
    R834799 (2016)
    R834799 (Final)
    R834799C001 (Final)
  • Full-text: ACP-Full Text PDF
    Exit
  • Abstract: ACP-Abstract
    Exit
  • Other: ResearchGate-Abstract & Full Text PDF
    Exit
  • Journal Article Fang T, Verma V, Bates JT, Abrams J, Klein M, Strickland MJ, Sarnat SE, Chang HH, Mulholland JA, Tolbert PE, Russell AG, Weber RJ. Oxidative potential of ambient water-soluble PM2.5 in the southeastern United States: contrasts in sources and health associations between ascorbic acid (AA) and dithiothreitol (DTT) assays. Atmospheric Chemistry and Physics 2016;16(6):3865-3879. R834799 (2015)
    R834799 (2016)
    R834799 (Final)
    R834799C001 (Final)
    R834799C003 (Final)
    R834799C004 (Final)
  • Full-text: ACP-Full Text PDF
    Exit
  • Abstract: ACP-Abstract
    Exit
  • Other: ResearchGate-Abstract & Full Text PDF
    Exit
  • Journal Article Flanders WD, Klein M, Darrow LA, Strickland MJ, Sarnat SE, Sarnat JA, Waller LA, Winquist A, Tolbert PE. A method for detection of residual confounding in time-series and other observational studies. Epidemiology 2011;22(1):59-67. R834799 (2013)
    R834799 (2014)
    R834799 (2015)
    R834799 (2016)
    R834799 (Final)
    R834799C003 (2015)
    R834799C003 (Final)
    R834799C004 (2013)
    R834799C004 (2014)
    R834799C004 (2015)
    R834799C004 (Final)
    R833626 (Final)
  • Full-text from PubMed
  • Abstract from PubMed
  • Associated PubMed link
  • Abstract: Epidemiology-Abstract
    Exit
  • Journal Article Flanders WD, Klein M, Darrow LA, Strickland MJ, Sarnat SE, Sarnat JA, Waller LA, Winquist A, Tolbert PE. A method to detect residual confounding in spatial and other observational studies. Epidemiology 2011;22(6):823-826. R834799 (2012)
    R834799 (2013)
    R834799 (2014)
    R834799 (2015)
    R834799 (2016)
    R834799 (Final)
    R834799C003 (2013)
    R834799C003 (2014)
    R834799C003 (2015)
    R834799C003 (Final)
    R834799C004 (2013)
    R834799C004 (2014)
    R834799C004 (2015)
    R834799C004 (Final)
    R833626 (Final)
  • Full-text from PubMed
  • Abstract from PubMed
  • Associated PubMed link
  • Abstract: Epidemiology-Abstract
    Exit
  • Journal Article Flanders WD, Klein M. A general, multivariate definition of causal effects in epidemiology. Epidemiology 2015;26(4):481-489. R834799 (2016)
    R834799 (Final)
  • Abstract from PubMed
  • Abstract: Ovid-Abstract
    Exit
  • Journal Article Flanders WD, Klein M. Rejoinder. Epidemiology 2015;26(4):496-497. R834799 (2016)
    R834799 (Final)
  • Abstract from PubMed
  • Other: Walters Kluwer-Citation Reference
    Exit
  • Journal Article Flanders WD, Klein M, Mirabelli MC. Conditions for valid estimation of causal effects on prevalence in cross-sectional and other studies. Annals of Epidemiology 2016;26(6):389-394.e2. R834799 (2016)
    R834799 (Final)
  • Full-text from PubMed
  • Abstract from PubMed
  • Associated PubMed link
  • Abstract: Annals of Epidemiology-Abstract
    Exit
  • Journal Article Flanders WD, Strickland MJ, Klein M. A new method for partial correction of residual confounding in time-series and other observational studies. American Journal of Epidemiology 2017;185(10):941-949. R834799 (2016)
    R834799 (Final)
    R834799C003 (Final)
  • Abstract from PubMed
  • Abstract: Oxford Academic-Abstract
    Exit
  • Journal Article Friberg MD, Zhai X, Holmes HA, Chang HH, Strickland MJ, Sarnat SE, Tolbert PE, Russell AG, Mulholland JA. Method for fusing observational data and chemical transport model simulations to estimate spatiotemporally resolved ambient air pollution. Environmental Science & Technology 2016;50(7):3695-3705. R834799 (2016)
    R834799 (Final)
    R834799C003 (Final)
    R834799C004 (2015)
    R834799C004 (Final)
  • Abstract from PubMed
  • Full-text: ES&T-Full Text HTML
    Exit
  • Abstract: ES&T-Abstract
    Exit
  • Other: ES&T-Full Text PDF
    Exit
  • Journal Article Friberg MD, Kahn RA, Holmes HA, Chang HH, Sarnat SE, Tolbert PE, Russell AG, Mulholland JA. Daily ambient air pollution metrics for five cities: evaluation of data-fusion-based estimates and uncertainties. Atmospheric Environment 2017;158:36-50. R834799 (2016)
    R834799 (Final)
    R834799C004 (Final)
  • Full-text: ScienceDirect-Full Text HTML
    Exit
  • Abstract: ScienceDirect-Abstract
    Exit
  • Other: ScienceDirect-Full Text PDF
    Exit
  • Journal Article Gass K, Klein M, Chang HH, Flanders WD, Strickland MJ. Classification and regression trees for epidemiologic research: an air pollution example. Environmental Health 2014;13(1):17 (10 pp.). R834799 (2014)
    R834799 (2015)
    R834799 (2016)
    R834799 (Final)
    R834799C003 (2013)
    R834799C003 (2014)
    R834799C003 (2015)
    R834799C003 (Final)
    R834799C004 (2013)
    R834799C004 (2014)
    R834799C004 (2015)
    R834799C004 (Final)
  • Full-text from PubMed
  • Abstract from PubMed
  • Associated PubMed link
  • Full-text: Environmental Health-Full Text HTML
    Exit
  • Abstract: Environmental Health-Abstract
    Exit
  • Other: Environmental Health-Full Text PDF
    Exit
  • Journal Article Gass K, Balachandran S, Chang HH, Russell AG, Strickland MJ. Ensemble-based source apportionment of fine particulate matter and emergency department visits for pediatric asthma. American Journal of Epidemiology 2015;181(7):504-512. R834799 (2015)
    R834799 (2016)
    R834799 (Final)
    R834799C003 (2015)
    R834799C003 (Final)
    R833866 (Final)
  • Full-text from PubMed
  • Abstract from PubMed
  • Associated PubMed link
  • Full-text: Oxford Academic-Full Text PDF
    Exit
  • Abstract: Oxford Academic-Abstract & Full Text HTML
    Exit
  • Journal Article Gass K, Klein M, Sarnat SE, Winquist A, Darrow LA, Flanders WD, Chang HH, Mulholland JA, Tolbert PE, Strickland MJ. Associations between ambient air pollutant mixtures and pediatric asthma emergency department visits in three cities: a classification and regression tree approach. Environmental Health 2015;14:58 (14 pp.). R834799 (2015)
    R834799 (2016)
    R834799 (Final)
    R834799C003 (2015)
    R834799C003 (Final)
    R834799C004 (2014)
    R834799C004 (2015)
    R834799C004 (Final)
  • Full-text from PubMed
  • Abstract from PubMed
  • Associated PubMed link
  • Full-text: Environmental Health-Full Text HTML
    Exit
  • Abstract: Environmental Health-Abstract
    Exit
  • Other: Environmental Health-Full Text PDF
    Exit
  • Journal Article Goldman GT, Mulholland JA, Russell AG, Strickland MJ, Klein M, Waller LA, Tolbert PE. Impact of exposure measurement error in air pollution epidemiology:effect of error type in time-series studies. Environmental Health 2011;10:61 (11 pp.). R834799 (2011)
    R834799 (2013)
    R834799 (2014)
    R834799 (2015)
    R834799 (2016)
    R834799 (Final)
    R834799C003 (2011)
    R834799C003 (2013)
    R834799C003 (2014)
    R834799C003 (2015)
    R834799C003 (Final)
    R834799C004 (2013)
    R834799C004 (2014)
    R834799C004 (2015)
    R834799C004 (Final)
    R833866 (Final)
  • Full-text from PubMed
  • Abstract from PubMed
  • Associated PubMed link
  • Full-text: Springer-Full Text PDF
    Exit
  • Abstract: Springer-Abstract & Full Text HTML
    Exit
  • Journal Article Goldman GT, Mulholland JA, Russell AG, Gass K, Strickland MJ, Tolbert PE. Characterization of ambient air pollution measurement error in a time-series health study using a geostatistical simulation approach. Atmospheric Environment 2012;57:101-108. R834799 (2012)
    R834799 (2013)
    R834799 (2014)
    R834799 (2015)
    R834799 (2016)
    R834799 (Final)
    R834799C003 (2012)
    R834799C003 (2013)
    R834799C003 (2014)
    R834799C003 (2015)
    R834799C003 (Final)
    R834799C004 (2013)
    R834799C004 (2014)
    R834799C004 (2015)
    R834799C004 (Final)
    R833866 (Final)
  • Full-text from PubMed
  • Abstract from PubMed
  • Associated PubMed link
  • Full-text: ScienceDirect-Full Text HTML
    Exit
  • Abstract: ScienceDirect-Abstract
    Exit
  • Other: ScienceDirect-Full Text PDF
    Exit
  • Journal Article Greenwald R, Bergin MH, Yip F, Boehmer T, Kewada P, Shafer MM, Schauer JJ, Sarnat JA. On-roadway in-cabin exposure to particulate matter: measurement results using both continuous and time-integrated sampling approaches. Aerosol Science and Technology 2014;48(6):664-675. R834799 (2014)
    R834799 (2015)
    R834799 (2016)
    R834799 (Final)
    R834799C002 (2014)
    R834799C002 (2015)
    R834799C002 (Final)
  • Full-text: Taylor & Francis-Full Text HTML
    Exit
  • Abstract: Taylor & Francis-Abstract
    Exit
  • Other: Taylor & Francis-Full Text PDF
    Exit
  • Journal Article Guo H, Xu L, Bougiatioti A, Cerully KM, Capps SL, Hite Jr. JR, Carlton AG, Lee S-H, Bergin MH, Ng NL, Nenes A, Weber RJ. Fine-particle water and pH in the southeastern United States. Atmospheric Chemistry and Physics 2015;15(9):5211-5228. R834799 (2015)
    R834799 (2016)
    R834799 (Final)
    R834799C001 (2015)
    R834799C001 (Final)
    R835041 (2015)
    R835041 (Final)
    R835410 (2013)
  • Full-text: ACP-Full Text PDF
    Exit
  • Abstract: ACP-Abstract
    Exit
  • Other: ResearchGate-Abstract & Full Text PDF
    Exit
  • Journal Article Hao H, Chang HH, Holmes HA, Mulholland JA, Klein M, Darrow LA, Strickland MJ. Air pollution and preterm birth in the U.S. state of Georgia (2002-2006): associations with concentrations of 11 ambient air pollutants estimated by combining Community Multiscale Air Quality Model (CMAQ) simulations with stationary monitor measurements. Environmental Health Perspectives 2016;124(6):875-880. R834799 (2015)
    R834799 (2016)
    R834799 (Final)
    R834799C003 (2015)
    R834799C003 (Final)
  • Full-text from PubMed
  • Abstract from PubMed
  • Associated PubMed link
  • Full-text: EHP-Full Text PDF
  • Abstract: EHP-Abstract & Full Text HTML
  • Journal Article Heidari L, Winquist A, Klein M, O’Lenick CR, Grundstein A, Sarnat SE. Susceptibility to heat-related fluid and electrolyte imbalance emergency department visits in Atlanta, Georgia, USA. International Journal of Environmental Research and Public Health 2016;13(10):982 (17 pp.). R834799 (2016)
    R834799 (Final)
    R834799C004 (Final)
  • Full-text from PubMed
  • Abstract from PubMed
  • Associated PubMed link
  • Full-text: MDPI-Full Text HTML
    Exit
  • Abstract: MDPI-Abstract
    Exit
  • Other: MDPI-Full Text PDF
    Exit
  • Journal Article Hu X, Waller LA, Al-Hamdan MZ, Crosson WL, Estes Jr. MG, Estes SM, Quattrochi DA, Sarnat JA, Liu Y. Estimating ground-level PM2.5 concentrations in the southeastern U.S. using geographically weighted regression. Environmental Research 2013;121:1-10. R834799 (2013)
    R834799 (2014)
    R834799 (2015)
    R834799 (2016)
    R834799 (Final)
    R834799C003 (2013)
    R834799C003 (2014)
    R834799C003 (2015)
    R834799C003 (Final)
  • Abstract from PubMed
  • Full-text: ScienceDirect-Full Text HTML
    Exit
  • Abstract: ScienceDirect-Abstract
    Exit
  • Other: ScienceDirect-Full Text PDF
    Exit
  • Journal Article Hu X, Waller LA, Lyapustin A, Wang Y, Al-Hamdan MZ, Crosson WL, Estes Jr. MG, Estes SM, Quattrochi DA, Puttaswamy SJ, Liu Y. Estimating ground-level PM2.5 concentrations in the Southeastern United States using MAIAC AOD retrievals and a two-stage model. Remote Sensing of Environment 2014;140:220-232. R834799 (2014)
    R834799 (2015)
    R834799 (2016)
    R834799 (Final)
    R834799C003 (2013)
    R834799C003 (2014)
    R834799C003 (2015)
    R834799C003 (Final)
  • Full-text: ScienceDirect-Full Text HTML
    Exit
  • Abstract: ScienceDirect-Abstract
    Exit
  • Other: ScienceDirect-Full Text PDF
    Exit
  • Journal Article Hu X, Waller LA, Lyapustin A, Wang Y, Liu Y. 10-year spatial and temporal trends of PM2.5 concentrations in the southeastern US estimated using high-resolution satellite data. Atmospheric Chemistry and Physics 2014;14(12):6301-6314. R834799 (2014)
    R834799 (2015)
    R834799 (2016)
    R834799 (Final)
    R834799C003 (2014)
    R834799C003 (2015)
    R834799C003 (Final)
  • Full-text: ACP-Full Text PDF
    Exit
  • Abstract: ACP-Abstract
    Exit
  • Journal Article Hu X, Waller LA, Lyapustin A, Wang Y, Liu Y. Improving satellite-driven PM2.5 models with Moderate Resolution Imaging Spectroradiometer fire counts in the southeastern U.S. Journal of Geophysical Research: Atmospheres 2014;119(19):11375-11386. R834799 (2015)
    R834799 (2016)
    R834799 (Final)
  • Full-text: Wiley Online-Full Text PDF
    Exit
  • Abstract: Wiley Online-Abstract & Full Text HTML
    Exit
  • Journal Article Hu Y, Balachandran S, Pachon JE, Baek J, Ivey C, Holmes H, Odman MT, Mulholland JA, Russell AG. Fine particulate matter source apportionment using a hybrid chemical transport and receptor model approach. Atmospheric Chemistry and Physics 2014;14(11):5415-5431. R834799 (2015)
    R834799 (2016)
    R834799 (Final)
  • Full-text: ACP-Full Text PDF
    Exit
  • Abstract: ACP-Abstract
    Exit
  • Journal Article Hu Y, Odman MT, Chang ME, Russell AG. Operational forecasting of source impacts for dynamic air quality management. Atmospheric Environment 2015;116:320-322. R834799 (2015)
    R834799 (2016)
    R834799 (Final)
    R833866 (Final)
    R835217 (2014)
    R835217 (Final)
  • Full-text: ScienceDirect-Full Text HTML
    Exit
  • Abstract: ScienceDirect-Abstract
    Exit
  • Other: ScienceDirect-Full Text PDF
    Exit
  • Journal Article Ivey CE, Holmes HA, Hu YT, Mulholland JA, Russell AG. Development of PM2.5 source impact spatial fields using a hybrid source apportionment air quality model. Geoscientific Model Development 2015;8(7):2153-2165. R834799 (2015)
    R834799 (2016)
    R834799 (Final)
  • Full-text: GMD-Full Text PDF
    Exit
  • Abstract: GMD-Abstract
    Exit
  • Journal Article Ivey CE, Holmes HA, Hu Y, Mulholland JA, Russell AG. A method for quantifying bias in modeled concentrations and source impacts for secondary particulate matter. Frontiers of Environmental Science & Engineering 2016;10:14. R834799 (2016)
    R834799 (Final)
  • Full-text: Research Gate-Abstract & Full Text PDF
    Exit
  • Abstract: SpringerLink-Abstract
    Exit
  • Journal Article King LE, Weber RJ. Development and testing of an online method to measure ambient fine particulate Reactive Oxygen Species (ROS) based on the 2’,7’-dichlorofluorescin (DCFH) assay. Atmospheric Measurement Techniques 2013;6(7):1647-1658. R834799 (2013)
    R834799 (2014)
    R834799 (2015)
    R834799 (2016)
    R834799 (Final)
    R834799C001 (2013)
    R834799C001 (2014)
    R834799C001 (2015)
    R834799C001 (Final)
  • Full-text: Atmospheric Measurement Techniques-Full Text PDF
    Exit
  • Abstract: Atmospheric Measurement Techniques-Abstract
    Exit
  • Journal Article Krall JR, Chang HH, Sarnat SE, Peng RD, Waller LA. Current methods and challenges for epidemiological studies of the associations between chemical constituents of particulate matter and health. Current Environmental Health Reports 2015;2(4):388-398. R834799 (2016)
    R834799 (Final)
    R834799C004 (2015)
    R834799C004 (Final)
  • Full-text from PubMed
  • Abstract from PubMed
  • Associated PubMed link
  • Full-text: Springer-Full Text HTML
    Exit
  • Abstract: Springer-Abstract
    Exit
  • Other: Springer-Full Text PDF
    Exit
  • Journal Article Krall JR, Mulholland JA, Russell AG, Balachandran S, Winquist A, Tolbert PE, Waller LA, Sarnat SE. Associations between source-specific fine particulate matter and emergency department visits for respiratory disease in four U.S. cities. Environmental Health Perspectives 2017;125(1):97-103. R834799 (2016)
    R834799 (Final)
    R834799C004 (2015)
    R834799C004 (Final)
    R833866 (Final)
  • Full-text from PubMed
  • Abstract from PubMed
  • Associated PubMed link
  • Full-text: EHP-Full Text PDF
  • Abstract: EHP-Abstract & Full Text HTML
  • Journal Article Liu J, Bergin M, Guo H, King L, Kotra N, Edgerton E, Weber RJ. Size-resolved measurements of brown carbon in water and methanol extracts and estimates of their contribution to ambient fine-particle light absorption. Atmospheric Chemistry and Physics 2013;13(24):12389-12404. R834799 (2014)
    R834799 (2015)
    R834799 (2016)
    R834799 (Final)
    R834799C001 (2013)
    R834799C001 (2014)
    R834799C001 (2015)
    R834799C001 (Final)
  • Full-text: Atmospheric Chemistry and Physics-Full Text PDF
    Exit
  • Abstract: Atmospheric Chemistry and Physics-Abstract
    Exit
  • Other: ResearchGate-Full Text PDF
    Exit
  • Journal Article Liu J, Scheuer E, Dibb J, Ziemba LD, Thornhill KL, Anderson BE, Wisthaler A, Mikoviny T, Devi JJ, Bergin M, Weber RJ. Brown carbon in the continental troposphere. Geophysical Research Letters 2014;41(6):2191-2195. R834799 (2014)
    R834799 (2015)
    R834799 (2016)
    R834799 (Final)
    R834799C001 (2014)
    R834799C001 (2015)
    R834799C001 (Final)
    R835039 (Final)
  • Full-text: Wiley-Full Text PDF
    Exit
  • Abstract: Wiley-Abstract & Full Text HTML
    Exit
  • Other: ResearchGate-Full Text PDF
    Exit
  • Journal Article Ma Z, Hu X, Huang L, Bi J, Liu Y. Estimating ground-level PM2.5 in China using satellite remote sensing. Environmental Science & Technology 2014;48(13):7436-7444. R834799 (2014)
    R834799 (2015)
    R834799 (2016)
    R834799 (Final)
    R834799C003 (2014)
    R834799C003 (2015)
    R834799C003 (Final)
  • Abstract from PubMed
  • Full-text: ACS-Full Text PDF
    Exit
  • Abstract: ACS-Abstract
    Exit
  • Other: ResearchGate-Full Text PDF
    Exit
  • Journal Article Ma Z, Hu X, Sayer AM, Levy R, Zhang Q, Xue Y, Tong S, Bi J, Huang L, Liu Y. Satellite-based spatiotemporal trends in PM2.5 concentrations: China, 2004-2013. Environmental Health Perspectives 2016;124(2):184-192. R834799 (2015)
    R834799 (2016)
    R834799 (Final)
  • Full-text from PubMed
  • Abstract from PubMed
  • Associated PubMed link
  • Full-text: EHP-Full Text PDF
  • Abstract: EHP-Abstract & Full Text HTML
  • Journal Article Maier ML, Balachandran S, Sarnat SE, Turner JR, Mulholland JA, Russell AG. Application of an ensemble-trained source apportionment approach at a site impacted by multiple point sources. Environmental Science & Technology 2013;47(8):3743-3751. R834799 (2013)
    R834799 (2014)
    R834799 (2015)
    R834799 (2016)
    R834799 (Final)
    R834799C004 (2013)
    R834799C004 (2014)
    R834799C004 (2015)
    R834799C004 (Final)
    R833626 (Final)
    R833866 (Final)
  • Abstract from PubMed
  • Abstract: ES&T-Abstract
    Exit
  • Other: ResearchGate-Abstract
    Exit
  • Journal Article Mirabelli MC, Golan R, Greenwald R, Raysoni AU, Holguin F, Kewada P, Winquist A, Flanders WD, Sarnat JA. Modification of traffic-related respiratory response by asthma control in a population of car commuters. Epidemiology 2015;26(4):546-555. R834799 (2015)
    R834799 (2016)
    R834799 (Final)
    R834799C002 (2015)
    R834799C002 (Final)
  • Full-text from PubMed
  • Abstract from PubMed
  • Associated PubMed link
  • Full-text: CDC-Full Text PDF
  • Abstract: Wolters Kluwer-Abstract
    Exit
  • Journal Article Neelon B, Chang HH, Ling Q, Hastings NS. Spatiotemporal hurdle models for zero-inflated count data: exploring trends in emergency department visits. Statistical Methods in Medical Research 2014 [Epub ahead of print]. R834799 (2014)
    R834799 (2015)
    R834799 (2016)
    R834799 (Final)
  • Abstract from PubMed
  • Abstract: Sage - Abstract
    Exit
  • Journal Article O'Lenick CR, Winquist A, Mulholland JA, Friberg MD, Chang HH, Kramer MR, Darrow LA, Sarnat SE. Assessment of neighbourhood-level socioeconomic status as a modifier of air pollution-asthma associations among children in Atlanta. Journal of Epidemiology and Community Health 2017;71(2):129-136. R834799 (2016)
    R834799 (Final)
    R834799C004 (Final)
  • Abstract from PubMed
  • Abstract: BMJ-Abstract
    Exit
  • Journal Article O'Lenick CR, Winquist A, Chang HH, Kramer MR, Mulholland JA, Grundstein A, Sarnat SE. Evaluation of individual and area-level factors as modifiers of the association between warm-season temperature and pediatric asthma morbidity in Atlanta, GA. Environmental Research 2017;156:132-144. R834799 (2016)
    R834799 (Final)
    R834799C004 (Final)
  • Abstract from PubMed
  • Full-text: ScienceDirect-Full Text HTML
    Exit
  • Abstract: ScienceDirect-Abstract
    Exit
  • Other: ScienceDirect-Full Text PDF
    Exit
  • Journal Article O’Lenick CR, Chang HH, Kramer MR, Winquist A, Mulholland JA, Friberg MD, Sarnat SE. Ozone and childhood respiratory disease in three US cities: evaluation of effect measure modification by neighborhood socioeconomic status using a Bayesian hierarchical approach. Environmental Health 2017;16(1):36 (15 pp.). R834799 (2016)
    R834799 (Final)
    R834799C004 (Final)
  • Full-text from PubMed
  • Abstract from PubMed
  • Associated PubMed link
  • Full-text: Environmental Health-Full Text HTML
    Exit
  • Abstract: Environmental Health-Abstract
    Exit
  • Other: Environmental Health-Full Text PDF
    Exit
  • Journal Article Pachon JE, Balachandran S, Hu Y, Mulholland JA, Darrow LA, Sarnat JA, Tolbert PE, Russell AG. Development of outcome-based, multipollutant mobile source indicators. Journal of the Air & Waste Management Association 2012;62(4):431-442. R834799 (2012)
    R834799 (2013)
    R834799 (2014)
    R834799 (2015)
    R834799 (2016)
    R834799 (Final)
    R834799C003 (2013)
    R834799C003 (2014)
    R834799C003 (2015)
    R834799C003 (Final)
    R834799C004 (2013)
    R834799C004 (2014)
    R834799C004 (2015)
    R834799C004 (Final)
    R833626 (Final)
    R833866 (Final)
  • Full-text from PubMed
  • Abstract from PubMed
  • Associated PubMed link
  • Full-text: Taylor&Francis-Full Text HTML
    Exit
  • Abstract: Taylor&Francis-Abstract
    Exit
  • Other: Taylor&Francis-Full Text PDF
    Exit
  • Journal Article Pachon JE, Weber RJ, Zhang X, Mulholland JA, Russell AG. Revising the use of potassium (K) in the source apportionment of PM2.5. Atmospheric Pollution Research 2013;4(1):14-21. R834799 (2014)
    R834799 (2015)
    R834799 (2016)
    R834799 (Final)
    R834799C004 (2013)
    R834799C004 (2014)
    R834799C004 (2015)
    R833626 (Final)
    R833866 (Final)
  • Full-text: ScienceDirect-Full Text HTML
    Exit
  • Abstract: ScienceDirect-Abstract
    Exit
  • Other: ScienceDirect-Full Text PDF
    Exit
  • Journal Article Park S-K, Russell AG. Regional adjustment of emission strengths via four dimensional data assimilation. Asia-Pacific Journal of Atmospheric Sciences 2013;49(3):361-374. R834799 (2015)
    R834799 (2016)
    R834799 (Final)
  • Abstract: SpringerLink-Abstract
    Exit
  • Journal Article Park S-K, Marmur A, Russell AG. Environmental risk assessment:comparison of receptor and air quality models for source apportionment. Human and Ecological Risk Assessment 2013;19(5):1385-1403. R834799 (2015)
    R834799 (2016)
    R834799 (Final)
  • Abstract: Taylor & Francis-Abstract
    Exit
  • Journal Article Pearce JL, Waller LA, Chang HH, Klein M, Mulholland JA, Sarnat JA, Sarnat SE, Strickland MJ, Tolbert PE. Using self-organizing maps to develop ambient air quality classifications: a time series example. Environmental Health 2014;13:56. R834799 (2014)
    R834799 (2015)
    R834799 (2016)
    R834799 (Final)
    R834799C003 (2015)
    R834799C003 (Final)
    R834799C004 (2014)
    R834799C004 (2015)
    R834799C004 (Final)
  • Full-text from PubMed
  • Abstract from PubMed
  • Associated PubMed link
  • Full-text: Environmental Health-Full Text HTML
    Exit
  • Abstract: Environmental Health-Abstract
    Exit
  • Other: Environmental Health-Full Text PDF
    Exit
  • Journal Article Pearce JL, Waller LA, Mulholland JA, Sarnat SE, Strickland MJ, Chang HH, Tolbert PE. Exploring associations between multipollutant day types and asthma morbidity: epidemiologic applications of self-organizing map ambient air quality classifications. Environmental Health 2015;14:55 (12 pp.). R834799 (2015)
    R834799 (2016)
    R834799 (Final)
    R834799C003 (2013)
    R834799C003 (2015)
    R834799C003 (Final)
    R834799C004 (2013)
    R834799C004 (2015)
    R834799C004 (Final)
  • Full-text from PubMed
  • Abstract from PubMed
  • Associated PubMed link
  • Full-text: Environmental Health-Full Text HTML
    Exit
  • Abstract: Environmental Health-Abstract
    Exit
  • Other: Environmental Health-Full Text PDF
    Exit
  • Journal Article Pearce JL, Waller LA, Sarnat SE, Chang HH, Klein M, Mulholland JA, Tolbert PE. Characterizing the spatial distribution of multiple pollutants and populations at risk in Atlanta, Georgia. Spatial and Spatio-temporal Epidemiology 2016;18:13-23. R834799 (2016)
    R834799 (Final)
    R834799C004 (Final)
  • Full-text from PubMed
  • Abstract from PubMed
  • Associated PubMed link
  • Full-text: ScienceDirect-Full Text HTML
    Exit
  • Abstract: ScienceDirect-Abstract
    Exit
  • Other: ScienceDirect-Full Text PDF
    Exit
  • Journal Article Pennington AF, Strickland MJ, Freedle KA, Klein M, Drews-Botsch C, Hansen C, Darrow LA. Evaluating early-life asthma definitions as a marker for subsequent asthma in an electronic medical record setting. Pediatric Allergy and Immunology 2016;27(6):591-596. R834799 (2016)
    R834799 (Final)
  • Abstract from PubMed
  • Abstract: Wiley Online-Abstract
    Exit
  • Journal Article Pennington AF, Strickland MJ, Klein M, Zhai X, Russell AG, Hansen C, Darrow LA. Measurement error in mobile source air pollution exposure estimates due to residential mobility during pregnancy. Journal of Exposure Science and Environmental Epidemiology 2017;27(5):513-520. R834799 (2016)
    R834799 (Final)
    R834799C003 (Final)
  • Abstract from PubMed
  • Abstract: Nature Publishing-Abstract
    Exit
  • Journal Article Redman JD, Holmes HA, Balachandran S, Maier ML, Zhai X, Ivey C, Digby K, Mulholland JA, Russell AG. Development and evaluation of a daily temporal interpolation model for fine particulate matter species concentrations and source apportionment. Atmospheric Environment 2016;140:529-538. R834799 (2016)
    R834799 (Final)
    R833626 (Final)
  • Full-text: ScienceDirect-Full Text HTML
    Exit
  • Abstract: ScienceDirect-Abstract
    Exit
  • Other: ScienceDirect-Full Text PDF
    Exit
  • Journal Article Reich BJ, Chang HH, Strickland MJ. Spatial health effects analysis with uncertain residential locations. Statistical Methods in Medical Research 2014;23(2):156-168. R834799 (2012)
    R834799 (2013)
    R834799 (2014)
    R834799 (2015)
    R834799 (2016)
    R834799 (Final)
    R834799C003 (2012)
    R834799C003 (2013)
    R834799C003 (2014)
    R834799C003 (2015)
    R834799C003 (Final)
    R833863 (2011)
  • Full-text from PubMed
  • Abstract from PubMed
  • Associated PubMed link
  • Full-text: SAGE-Full Text HTML
    Exit
  • Abstract: SAGE-Abstract
    Exit
  • Other: SAGE-Full Text PDF
    Exit
  • Journal Article Reich BJ, Chang HH, Foley KM. A spectral method for spatial downscaling. Biometrics 2014;70(4):932-942. R834799 (2014)
    R834799 (2015)
    R834799 (2016)
    R834799 (Final)
    R835228 (2013)
    R835228 (2014)
    R835228 (Final)
  • Full-text from PubMed
  • Abstract from PubMed
  • Associated PubMed link
  • Full-text: Europe PMC-Full Text HTML
    Exit
  • Abstract: Wiley-Abstract
    Exit
  • Other: ResearchGate-Full Text PDF
    Exit
  • Journal Article Sarnat JA, Sarnat SE, Flanders WD, Chang HH, Mulholland J, Baxter L, Isakov V, Ozkaynak H. Spatiotemporally resolved air exchange rate as a modifier of acute air pollution-related morbidity in Atlanta. Journal of Exposure Science & Environmental Epidemiology 2013;23(6):606-615. R834799 (2013)
    R834799 (2014)
    R834799 (2015)
    R834799 (2016)
    R834799 (Final)
    R834799C002 (2013)
    R834799C002 (2014)
    R834799C002 (2015)
    R834799C002 (Final)
    R834799C004 (2013)
    R834799C004 (2014)
    R834799C004 (2015)
    R834799C004 (Final)
  • Abstract from PubMed
  • Full-text: ResearchGate-Full Text PDF
    Exit
  • Abstract: JESEE-Abstract
    Exit
  • Journal Article Sarnat JA, Golan R, Greenwald R, Raysoni AU, Kewada P, Winquist A, Sarnat SE, Flanders WD, Mirabelli MC, Zora JE, Bergin MH, Yip F. Exposure to traffic pollution, acute inflammation and autonomic response in a panel of car commuters. Environmental Research 2014;133:66-76. R834799 (2014)
    R834799 (2015)
    R834799 (2016)
    R834799 (Final)
    R834799C002 (2014)
    R834799C002 (2015)
    R834799C002 (Final)
  • Abstract from PubMed
  • Full-text: ScienceDirect-Full Text HTML
    Exit
  • Abstract: ScienceDirect-Abstract
    Exit
  • Other: ScienceDirect-Full Text PDF
    Exit
  • Journal Article Sarnat SE, Sarnat JA, Mulholland J, Isakov V, Ozkaynak H, Chang HH, Klein M, Tolbert PE. Application of alternative spatiotemporal metrics of ambient air pollution exposure in a time-series epidemiological study in Atlanta. Journal of Exposure Science & Environmental Epidemiology 2013;23(6):593-605. R834799 (2014)
    R834799 (2015)
    R834799 (2016)
    R834799 (Final)
    R834799C004 (2013)
    R834799C004 (2014)
    R834799C004 (2015)
    R834799C004 (Final)
  • Abstract from PubMed
  • Abstract: JESEE-Abstract
    Exit
  • Journal Article Sarnat SE, Winquist A, Schauer JJ, Turner JR, Sarnat JA. Fine particulate matter components and emergency department visits for cardiovascular and respiratory diseases in the St. Louis, Missouri-Illinois, metropolitan area. Environmental Health Perspectives 2015;123(5):437-444. R834799 (2015)
    R834799 (2016)
    R834799 (Final)
    R834799C004 (2014)
    R834799C004 (2015)
    R834799C004 (Final)
  • Full-text from PubMed
  • Abstract from PubMed
  • Associated PubMed link
  • Full-text: EHP-Full Text PDF
  • Abstract: EHP-Abstract & Full Text HTML
  • Journal Article Sarnat SE, Chang HH, Weber RJ. Ambient PM2.5 and health: does PM2.5 oxidative potential play a role? American Journal of Respiratory and Critical Care Medicine 2016;194(5):530-531. R834799 (2016)
    R834799 (Final)
    R834799C001 (Final)
    R834799C004 (Final)
  • Abstract from PubMed
  • Abstract: AJRCCM-PDF Preview
    Exit
  • Journal Article Strickland MJ, Darrow LA, Mulholland JA, Klein M, Flanders WD, Winquist A, Tolbert PE. Implications of different approaches for characterizing ambient air pollutant concentrations within the urban airshed for time-series studies and health benefits analyses. Environmental Health 2011;10:36. R834799 (2011)
    R834799 (2013)
    R834799 (2014)
    R834799 (2015)
    R834799 (2016)
    R834799 (Final)
    R834799C003 (2011)
    R834799C003 (2013)
    R834799C003 (2014)
    R834799C003 (2015)
    R834799C003 (Final)
    R834799C004 (2013)
    R834799C004 (2014)
    R834799C004 (2015)
    R834799C004 (Final)
  • Full-text from PubMed
  • Abstract from PubMed
  • Associated PubMed link
  • Full-text: Environmental Health-Full Text HTML
    Exit
  • Abstract: Environmental Health-Abstract
    Exit
  • Other: Environmental Health-Full Text PDF
    Exit
  • Journal Article Strickland MJ, Marsh CA, Darrow LA. Gestational age-specific associations between infantile acute bronchiolitis and asthma after age five. Pediatric and Perinatal Epidemiology 2014;28(6):521-526. R834799 (2015)
    R834799 (2016)
    R834799 (Final)
    R834799C003 (2015)
    R834799C003 (Final)
  • Full-text from PubMed
  • Abstract from PubMed
  • Associated PubMed link
  • Abstract: Wiley Online-Abstract
    Exit
  • Journal Article Strickland MJ, Klein M, Flanders WD, Chang HH, Mulholland JA, Tolbert PE, Darrow LA. Modification of the effect of ambient air pollution on pediatric asthma emergency visits: susceptible subpopulations. Epidemiology 2014;25(6):843-850. R834799 (2014)
    R834799 (2015)
    R834799 (2016)
    R834799 (Final)
    R834799C003 (2014)
    R834799C003 (2015)
    R834799C003 (Final)
  • Full-text from PubMed
  • Abstract from PubMed
  • Associated PubMed link
  • Abstract: Epidemiology-Abstract
    Exit
  • Journal Article Strickland MJ, Gass KM, Goldman GT, Mulholland JA. Effects of ambient air pollution measurement error on health effect estimates in time-series studies: a simulation-based analysis. Journal of Exposure Science & Environmental Epidemiology 2015;25(2):160-166. R834799 (2013)
    R834799 (2014)
    R834799 (2015)
    R834799 (2016)
    R834799 (Final)
    R834799C003 (2013)
    R834799C003 (2014)
    R834799C003 (2015)
    R834799C003 (Final)
  • Full-text from PubMed
  • Abstract from PubMed
  • Associated PubMed link
  • Abstract: JESEE-Abstract
    Exit
  • Other: ResearchGate-Abstract
    Exit
  • Journal Article Strickland MJ, Hao H, Hu X, Chang HH, Darrow LA, Liu Y. Pediatric emergency visits and short-term changes in PM2.5 concentrations in the U.S. state of Georgia. Environmental Health Perspectives 2016;124(5):690-696. R834799 (2015)
    R834799 (2016)
    R834799 (Final)
    R834799C003 (2015)
    R834799C003 (Final)
  • Full-text from PubMed
  • Abstract from PubMed
  • Associated PubMed link
  • Full-text: EHP-Full Text PDF
  • Abstract: EHP-Abstract & Full Text HTML
  • Journal Article Verma V, Rico-Martinez R, Kotra N, King L, Liu J, Snell TW, Weber RJ. Contribution of water-soluble and insoluble components and their hydrophobic/hydrophilic subfractions to the reactive oxygen species-generating potential of fine ambient aerosols. Environmental Science & Technology 2012;46(20):11384-11392. R834799 (2012)
    R834799 (2013)
    R834799 (2014)
    R834799 (2015)
    R834799 (2016)
    R834799 (Final)
    R834799C001 (2012)
    R834799C001 (2013)
    R834799C001 (2014)
    R834799C001 (2015)
    R834799C001 (Final)
  • Abstract from PubMed
  • Full-text: ES&T-Full Text PDF
    Exit
  • Abstract: ES&T-Abstract
    Exit
  • Other: ResearchGate-Full Text PDF
    Exit
  • Journal Article Verma V, Rico-Martinez R, Kotra N, Rennolds C, Liu J, Snell TW, Weber RJ. Estimating the toxicity of ambient fine aerosols using freshwater rotifer Brachionus calyciflorus (Rotifera: Monogononta). Environmental Pollution 2013;182:379-384. R834799 (2014)
    R834799 (2015)
    R834799 (2016)
    R834799 (Final)
    R834799C001 (2013)
    R834799C001 (2014)
    R834799C001 (2015)
    R834799C001 (Final)
  • Abstract from PubMed
  • Full-text: Science Direct-Full Text HTML
    Exit
  • Abstract: Science Direct-Abstract
    Exit
  • Other: Science Direct-Full Text PDF
    Exit
  • Journal Article Verma V, Fang T, Guo H, King L, Bates JT, Peltier RE, Edgerton E, Russell AG, Weber RJ. Reactive oxygen species associated with water-soluble PM2.5 in the southeastern United States: spatiotemporal trends and source apportionment. Atmospheric Chemistry and Physics 2014;14(23):12915-12930. R834799 (2015)
    R834799 (2016)
    R834799 (Final)
    R834799C001 (2015)
    R834799C001 (Final)
  • Full-text: ACP-Full Text PDF
    Exit
  • Abstract: ACP-Abstract
    Exit
  • Other: Harvard University-Abstract
    Exit
  • Journal Article Verma V, Fang T, Xu L, Peltier RE, Russell AG, Ng NL, Weber RJ. Organic aerosols associated with the generation of reactive oxygen species (ROS) by water-soluble PM2.5. Environmental Science & Technology 2015;49(7):4646-4656. R834799 (2015)
    R834799 (2016)
    R834799 (Final)
    R834799C001 (2015)
    R834799C001 (Final)
  • Full-text from PubMed
  • Full-text: ES&T-Full Text HTML
    Exit
  • Abstract: ES&T-Abstract
    Exit
  • Other: ES&T-Full Text PDF
    Exit
  • Journal Article Verma V, Wang Y, El-Afifi R, Fang T, Rowland J, Russell AG, Weber RJ. Fractionating ambient humic-like substances (HULIS) for their reactive oxygen species activity—assessing the importance of quinones and atmospheric aging. Atmospheric Environment 2015;120:351-359. R834799 (2015)
    R834799 (2016)
    R834799 (Final)
    R834799C001 (Final)
  • Full-text: ScienceDIrect-Full Text HTML
    Exit
  • Abstract: ScienceDIrect-Abstract
    Exit
  • Other: ScienceDIrect-Full Text PDF
    Exit
  • Journal Article Waller LA. Commentary: regarding assessments of chance in investigations of ‘cluster series.’ International Journal of Epidemiology 2013;42(2):449-452. R834799 (2013)
    R834799 (2014)
    R834799 (2015)
    R834799 (2016)
    R834799 (Final)
    R834799C003 (2013)
    R834799C003 (2014)
    R834799C003 (2015)
    R834799C003 (Final)
  • Abstract from PubMed
  • Full-text: IJE-Full Text HTML
    Exit
  • Abstract: IJE-Abstract
    Exit
  • Other: IJE-Full Text PDF
    Exit
  • Journal Article Weber RJ, Guo H, Russell AG, Nenes A. High aerosol acidity despite declining atmospheric sulfate concentrations over the past 15 years. Nature Geoscience 2016;9:282-285. R834799 (2016)
    R834799 (Final)
    R834799C001 (Final)
    R835410 (2013)
  • Full-text: Georgia Tech-Prepublication PDF
    Exit
  • Abstract: Nature-Abstract
    Exit
  • Journal Article Winquist A, Klein M, Tolbert P, Sarnat SE. Power estimation using simulations for air pollution time-series studies. Environmental Health 2012;11:68 (12 pp.). R834799 (2012)
    R834799 (2013)
    R834799 (2014)
    R834799 (2015)
    R834799 (2016)
    R834799 (Final)
    R834799C004 (2012)
    R834799C004 (2013)
    R834799C004 (2014)
    R834799C004 (2015)
    R834799C004 (Final)
  • Full-text from PubMed
  • Abstract from PubMed
  • Associated PubMed link
  • Full-text: Environmental Health-Full Text HTML
    Exit
  • Abstract: Environmental Health-Abstract
    Exit
  • Other: Environmental Health-Full Text PDF
    Exit
  • Journal Article Winquist A, Klein M, Tolbert P, Flanders WD, Hess J, Sarnat SE. Comparison of emergency department and hospital admissions data for air pollution time-series studies. Environmental Health 2012;11:70 (14 pp.). R834799 (2012)
    R834799 (2013)
    R834799 (2014)
    R834799 (2015)
    R834799 (2016)
    R834799 (Final)
    R834799C004 (2012)
    R834799C004 (2013)
    R834799C004 (2014)
    R834799C004 (2015)
    R834799C004 (Final)
  • Full-text from PubMed
  • Abstract from PubMed
  • Associated PubMed link
  • Full-text: Environmental Health-Full Text-HTML
    Exit
  • Abstract: Environmental Health-Abstract
    Exit
  • Other: Environmental Health-Full Text-PDF
    Exit
  • Journal Article Winquist A, Kirrane E, Klein M, Strickland M, Darrow LA, Sarnat SE, Gass K, Mulholland J, Russell A, Tolbert P. Joint effects of ambient air pollutants on pediatric asthma emergency department visits in Atlanta, 1998-2004. Epidemiology 2014;25(5):666-673. R834799 (2014)
    R834799 (2015)
    R834799 (2016)
    R834799 (Final)
    R834799C003 (2014)
    R834799C003 (2015)
    R834799C003 (Final)
    R834799C004 (2014)
    R834799C004 (2015)
    R834799C004 (Final)
  • Full-text from PubMed
  • Abstract from PubMed
  • Associated PubMed link
  • Abstract: Epidemiology-Abstract
    Exit
  • Journal Article Winquist A, Schauer JJ, Turner JR, Klein M, Sarnat SE. Impact of ambient fine particulate matter carbon measurement methods on observed associations with acute cardiorespiratory morbidity. Journal of Exposure Science & Environmental Epidemiology 2015;25(2):215-221. R834799 (2014)
    R834799 (2015)
    R834799 (2016)
    R834799 (Final)
    R834799C004 (2014)
    R834799C004 (2015)
    R834799C004 (Final)
  • Abstract from PubMed
  • Abstract: Nature-Abstract
    Exit
  • Other: ResearchGate-Abstract
    Exit
  • Journal Article Winquist A, Grundstein A, Chang HH, Hess J, Sarnat SE. Warm season temperature and emergency department visits in Atlanta, Georgia. Environmental Research 2016;147:314-323. R834799 (2016)
    R834799 (Final)
    R834799C004 (Final)
  • Full-text from PubMed
  • Abstract from PubMed
  • Associated PubMed link
  • Full-text: ScienceDirect-Full Text HTML
    Exit
  • Abstract: ScienceDirect-Abstract
    Exit
  • Other: ScienceDirect-Full Text PDF
    Exit
  • Journal Article Xiao Q, Liu Y, Mulholland JA, Russell AG, Darrow LA, Tolbert PE, Strickland MJ. Pediatric emergency department visits and ambient air pollution in the U.S. state of Georgia: a case-crossover study. Environmental Health 2016;15(1):115. R834799 (2016)
    R834799 (Final)
    R834799C003 (Final)
  • Full-text from PubMed
  • Abstract from PubMed
  • Associated PubMed link
  • Full-text: BioMed Central-Full Text HTML
    Exit
  • Journal Article Xu L, Guo H, Boyd CM, Klein M, Bougiatioti A, Cerully KM, Hite JR, Isaacman-VanWertz G, Kreisberg NM, Knote C, Olson K, Koss A, Goldstein AH, Hering SV, de Gouw JA, Baumann K, Lee S-H, Nenes A, Weber RJ, Ng NL. Effects of anthropogenic emissions on aerosol formation from isoprene and monoterpenes in the southeastern United States. Proceedings of the National Academy of Sciences of the United States of America 2015;112(1):37-42. R834799 (2015)
    R834799 (2016)
    R834799 (Final)
    R834799C001 (2015)
    R834799C001 (Final)
    R835403 (2014)
    R835403 (2015)
    R835403 (Final)
    R835410 (2013)
  • Full-text from PubMed
  • Abstract from PubMed
  • Associated PubMed link
  • Full-text: PNAS-Full-text PDF
    Exit
  • Abstract: PNAS-Abstract & Full-text HTML
    Exit
  • Journal Article Xu L, Suresh S, Guo H, Weber RJ, Ng NL. Aerosol characterization over the southeastern United States using high resolution aerosol mass spectrometry: spatial and seasonal variation of aerosol composition, sources, and organic nitrates. Atmospheric Chemistry and Physics 2015;15(15):7307-7336. R834799 (2015)
    R834799 (2016)
    R834799 (Final)
  • Full-text: ACP-Full Text-PDF
    Exit
  • Abstract: ACP-Abstract
    Exit
  • Other: ResearchGate-Abstract & Full Text-PDF
    Exit
  • Journal Article Ye D, Klein M, Chang HH, Sarnat JA, Mulholland JA, Edgerton ES, Winquist A, Tolbert PE, Sarnat SE. Estimating acute cardiorespiratory effects of ambient volatile organic compounds. Epidemiology 2017;28(2):197-206. R834799 (2016)
    R834799 (Final)
    R834799C004 (Final)
  • Abstract from PubMed
  • Abstract: Wolters Kluwer-Abstract
    Exit
  • Journal Article Ye D, Klein M, Mulholland JA, Russell AG, Weber R, Edgerton ES, Chang HH, Sarnat JA, Tolbert PE, Sarnat SE. Estimating acute cardiovascular effects of ambient PM2.5 metals. Environmental Health Perspectives 2018;126:027007 (10 pp.). R834799 (Final)
    R829213 (Final)
  • Abstract from PubMed
  • Full-text: EHP-Full Text PDF
  • Abstract: EHP-Abstract & Full Text HTML
  • Journal Article Yu C, Di Girolamo L, Chen L, Zhang X, Liu Y. Statistical evaluation of the feasibility of satellite-retrieved cloud parameters as indicators of PM2.5 levels. Journal of Exposure Science & Environmental Epidemiology 2015;25(5):457-466. R834799 (2014)
    R834799 (2015)
    R834799 (2016)
    R834799 (Final)
    R834799C003 (2014)
    R834799C003 (2015)
    R834799C003 (Final)
  • Abstract from PubMed
  • Full-text: ResearchGate-Full Text PDF
    Exit
  • Abstract: Nature-Abstract
    Exit
  • Other: Emory University-Full Text PDF
    Exit
  • Journal Article Keller JP, Chang HH, Strickland MJ, Szpiro AA. Measurement error correction for predicted spatiotemporal air pollution exposures. Epidemiology 2017;28(3):338-345. R834799 (2016)
    R834799 (Final)
    R834799C003 (Final)
  • Abstract from PubMed
  • Abstract: Ovid-Abstract
    Exit
  • Supplemental Keywords:

    aerosol, air quality, air quality modeling, ambient air, atmosphere, biostatistics, chemical transport modeling, children, confounder control, cumulative effects, data analysis, dose-response, elemental carbon, epidemiology, exposure, exposure measurement error, GA, Georgia, health effects, human health, infants, inflammation, measurement methods, metals, mobile sources, monitoring, organics, oxidants, oxidative potential, oxidative stress, ozone, PAH, PAHs, particulates, PM2.5, public policy, reactive oxygen species, receptor modeling, risk, ROS, sensitive populations, source characterization, Southeast, study design, sulfates, susceptibility, vulnerability;, Health, Scientific Discipline, Health Risk Assessment, Risk Assessments, Biochemistry, particulate matter, children's health, ambient air monitoring, climate change, air pollution, ambient particle health effects, airshed modeling, human health risk

    Relevant Websites:

    Southeastern Center for Air Pollution (SCAPE) Exit

    Progress and Final Reports:

    Original Abstract
  • 2011 Progress Report
  • 2012 Progress Report
  • 2013 Progress Report
  • 2014 Progress Report
  • 2016 Progress Report
  • Final Report
  • Subprojects under this Center: (EPA does not fund or establish subprojects; EPA awards and manages the overall grant for this center).
    R834799C001 Development and Deployment of an Instrumentation Suite for Comprehensive Air Quality Characterization Including Aerosol ROS
    R834799C002 Examining In-Vehicle Pollution and Oxidative Stress in a Cohort of Daily Commuters
    R834799C003 Novel Estimates of Pollutant Mixtures and Pediatric Health in Two Birth Cohorts
    R834799C004 A Multi-City Time-Series Study of Pollutant Mixtures and Acute Morbidity