Environmental Exposures and Incident Hypertension and Type 2 DiabetesThe National Institute of Environmental Health Sciences (NIH/NIEHS) is funding a 5-year study of the association between air pollution and noise exposures and incident hypertension and Type 2 diabetes. Based on the Black Women's Health Study cohort, this study will be first large-scale nationwide assessment of environmental exposures and incidence of hypertension and diabetes, focusing on African American women. Drs. Seto and Jerrett at UC Berkeley are responsible for the exposure assessment for this landmark study, which will include modeling of airborne particulate, nitrogen dioxide dispersion, and community noise. The study P.I. is Patricia Coogan, Boston University. More about this study and the Black Women's Health Study cohort: http://www.bu.edu/slone/Research/Studies/AirPollution/AirPollution.htm Open Source Models Our group is dedicated to the development of open source models that can be used for exposure assessment and health impact assessment studies. We have created two such models. Both are available for the open source R language. Rcaline. Developed by David Holstius, Rcaline is a line source air pollution dispersion model that can be used to estimate near roadway concentrations of CO and particulate matter (PM2.5 and PM10). Rcaline RTNM. Developed by Edmund Seto, RTNM is an implementation of a vehicle traffic noise model that can be used assess noise exposures for environmental epidemiology studies, as well as for city-wide noise modeling. Email: seto@berkeley.edu for software. |
