Geospatial data for exposure and risk modeling: Approaches and applications
Geospatial data for exposure and risk modeling: Approaches and applications
Session ID#: 123372
Session Description:
Geospatial data are methods are critical for our understanding of pollution exposures and human health disease risk. Advances in the data, statistical methodology, and applications are allowing for new ways to understand the exposure and disease burden of environmental pollution on human health outcomes. We seek submissions across all aspects of geospatial exposure, disease, and human health risk modeling. Innovations in new data sources, connecting data sources to health data, and statistical methodology are all welcome. Examples include, but are not limited to, methodological advancements for utilizing satellite data for exposure assessment; epidemiological studies utilizing geospatial data sources; investigations into how place impacts environmental health disparities; or advances in mapping of pollution health risks.
Co-Sponsor(s):
- ISEE: International Society of Environmental Epidemiology -
- ISES: International Society of Exposure Science -
Index Terms:
0230 Impacts of climate change: human health [GEOHEALTH]
1630 Impacts of global change [GLOBAL CHANGE]
3360 Remote sensing [ATMOSPHERIC PROCESSES]
4322 Health impact [NATURAL HAZARDS]
Primary Convener: Kyle Philip Messier, National Institutes of Health, National Institute of Environmental Health Sciences, Morrisville, NC, United States
Conveners: John M. Balbus, National Institutes of Health, National Institute of Environmental Health Sciences, Bethesda, MD, United States, Susan Anenberg, George Washington University, Washington, DC, United States and Ben Zaitchik, Johns Hopkins University, Balitmore, United States
Primary Liaison: Kyle Philip Messier, National Institutes of Health, National Institute of Environmental Health Sciences, Morrisville, NC, United States
See more of: GeoHealth