Grantee Research Project Results
2010 Progress Report: The Detroit Asthma Morbidity, Air Quality and Traffic (DAMAT) Study
EPA Grant Number: R833628Title: The Detroit Asthma Morbidity, Air Quality and Traffic (DAMAT) Study
Investigators: Wahl, Robert L , Batterman, Stuart A. , Hultin, Mary Lee , Michalak, Anna , Mukherjee, Bhramar , Wasilevich, Elizabeth , Garcia, Erika , Wirth, Julie , Dombkowski, Kevin , Cameron, Lorraine
Current Investigators: Wahl, Robert L , Batterman, Stuart A. , Wasilevich, Elizabeth , Hultin, Mary Lee , Dombkowski, Kevin , Mukherjee, Bhramar , Michalak, Anna
Institution: Michigan Department of Community Health , Michigan State University , University of Michigan
Current Institution: Michigan Department of Community Health , University of Michigan
EPA Project Officer: Hahn, Intaek
Project Period: September 30, 2007 through September 29, 2010 (Extended to September 29, 2011)
Project Period Covered by this Report: September 30, 2009 through September 29,2010
Project Amount: $499,777
RFA: Development of Environmental Health Outcome Indicators (2006) RFA Text | Recipients Lists
Research Category:
Objective:
Develop and evaluate a direct health indicator of pediatric asthma morbidity resulting from exposure to ambient air pollutants using an epidemiological approach that merges existing datasets and incorporates population susceptibility, exposure patterns, and other local conditions.
Progress Summary:
We obtained roadway and traffic data for the study region from the Michigan Department of Transportation (MDOT) and the Southeast Michigan Council of Governments (SEMCOG). These data were used to stratify the residence locations of the Medicaid claimants with respect to their proximity to major roads, an important source of air pollutant exposure.
Regional and local air pollutants. We determined associations between the regional and urban increments of PM10, PM2.5, O3, SO2, and NO2 and daily urgent care use for asthma in longitudinal analyses using case/cross-over Poisson (time series) regression models.
Roadway modeling. A dispersion model capable of predicting short (hourly) to long-term (annual average) pollutant concentrations near roadways was implemented and analyzed. A sensitivity analysis of the dispersion model was performed to identify the most influential variables, and a multiplicative model was created, which incorporated the four most significant variables: distance of receptor to roadway, wind speed, wind direction, and traffic flow.
Using spatial information developed earlier in the project, we classified the likely impact of traffic and other local pollutant sources on each Medicaid claim during the study period using the children’s residence location. We currently are examining the effects of traffic and other local pollutant sources on the strength of the association between daily asthma-related morbidity and daily air pollution exposures using the longitudinal models developed earlier in the project.
Time-series and time-stratified case-crossover analyses with threshold effects. Asthma morbidity has been associated with ambient air pollutants in time-series studies using generalized additive models (GAMs) and case-crossover studies using conditional logistic regression models (CLRMs). We were interested in using threshold effects to explore exposure-response relationships using these study designs. We estimated threshold parameters in both time-series and case-crossover analyses using a profile likelihood-based approach. These methods were applied to daily data on the asthma morbidity experienced by the Medicaid population of Detroit and concentrations of pollutants PM2.5, CO, NO2, and SO2 over the 2004-2006 period. Evidence of significant increases in daily emergency asthma events was found for SO2 and PM2.5, and a significant threshold effect was estimated for PM2.5 at 13 and 11 μg/m3 using GAMs and CLRMs, respectively. From these results, the existence of thresholds can be supported for physiological and statistical reasons, and has significant implications for policy and risk management.
Scenario and uncertainty analysis. We derived three scenarios portraying reasonable but contrasting future emission patterns, including (1) current conditions, (2) reduced emissions from local mobile sources, and (3) reduced regional transport.
Future Activities:
- Geographic information system (GIS) analysis of traffic-related exposures. The project team constructed maps showing the spatial patterns of traffic-related pollutants using a GIS analysis and simplified dispersion models and, using this spatial information, classified the likely impact of traffic and other local pollutant sources on each Medicaid claim during the study period. Building on these analyses, the project team has started to determine the effect of traffic and other local pollutant sources on the strength of the association between daily asthma-related morbidity and daily air pollution exposures using longitudinal models.
- Scenario and uncertainty analysis. Using the collected data, the project team constructed three scenarios of contrasting future emissions, including current conditions, reduced emissions from local mobile sources, and reduced regional transport. We now are estimating the air pollution impact of each scenario using the longitudinal models previously developed. We then will evaluate the uncertainty in the indicators using both estimated error as cross-validation comparing results across each year. Finally, we will analyze and compare indicators for spatial and temporal modes, including the effects of prediction uncertainty on both population and individual means.
- Manuscript preparation and presentations at scientific meetings. We have developed poster and oral presentations for team members to present at scientific meetings and conferences. Writing manuscripts and presenting our results will continue throughout the project period and beyond.
Journal Articles on this Report : 4 Displayed | Download in RIS Format
| Other project views: | All 5 publications | 5 publications in selected types | All 5 journal articles |
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Batterman SA, Zhang K, Kononowech R. Prediction and analysis of near-road concentrations using a reduced-form emission/dispersion model. Environmental Health 2010;9:29. |
R833628 (2010) R833628 (Final) |
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Li S, Batterman S, Wasilevich E, Elasaad H, Wahl R, Mukherjee B. Asthma exacerbation and proximity of residence to major roads: a population-based matched case-control study among the pediatric Medicaid population in Detroit, Michigan. Environmental Health 2011;10:34. |
R833628 (2010) R833628 (Final) |
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Li S, Batterman S, Wasilevich E, Wahl R, Wirth J, Su F-C, Mukherjee B. Association of daily asthma emergency department visits and hospital admissions with ambient air pollutants among the pediatric Medicaid population in Detroit: time-series and time-stratified case-crossover analyses with threshold effects. Environmental Research 2011;111(8):1137-1147. |
R833628 (2009) R833628 (2010) R833628 (Final) |
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Li S, Mukherjee B, Batterman S. Point source modeling of matched case-control data with multiple disease subtypes. Statistics in Medicine 2012;30(28):3617-3637. |
R833628 (2010) R833628 (Final) |
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Supplemental Keywords:
air, ambient air, ozone, exposure, risk, health effects, human health, sensitive populations, children, age, race, susceptibility, public policy, decision making, epidemiology, modeling, monitoring, analytical, Great Lakes, Midwest, Michigan, MI, EPA Region 5, transportation, industry , RFA, Scientific Discipline, Health, Air, HUMAN HEALTH, particulate matter, Health Risk Assessment, air toxics, Exposure, Epidemiology, Susceptibility/Sensitive Population/Genetic Susceptibility, Risk Assessments, Health Effects, genetic susceptability, Biology, copollutant exposures, sensitive populations, atmospheric particulate matter, asthma, airway epithelial cells, cardiopulmonary responses, fine particles, PM 2.5, inhaled pollutants, acute cardiovascular effects, acute lung injury, stratospheric ozone, morbidity, air pollutants, motor vehicle emissions, automotive emissions, motor vehicle exhaust, air pollution, susceptible subpopulations, cardiac arrest, diesel exhaust, chronic health effects, lung inflammation, oxidant gas, particulate exposure, cardiopulmonary response, heart rate, human exposure, atmospheric aerosols, Acute health effects, inhaled, chronic obstructive pulmonary disease, human susceptibility, cardiotoxicity, cardiopulmonary, mortality, concentrated particulate matter, air contaminant exposure, air quality, environmental hazard exposures, toxics, airborne urban contaminants, cardiovascular disease, acute exposure
Progress and Final Reports:
Original AbstractThe 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.