Geographic Information Systems (GIS) offer unprecedented opportunity to conduct spatial exposure assessments that can be applied to entire populations. Such assessments may model exposure to air pollution, noise, walkability, greenness or socio-economic contextual factors (e.g. deprivation, community belonging, etc.).

A primary goal of our research is to create new exposure assessment methods for air pollution and other built and social environment exposures that can be applied to large epidemiological studies.

A second goal is to create integrative exposure measures that capture multiple environmental and social exposures that are spatial clustered.  

A third goal is to better understand place-based health disparities and the roles of environmental and social exposures in creating vulnerable populations and communities.


Representative Publications

  • Hystad, P, Davies, H, Frank L, Gehring U, Tamburic L, Brauer M. Residential Greenness and Birth Outcomes: Distinguishing Effects from Spatially Correlated Built Environment Factors. Environmental Health Perspectives. doi:10.1289/ehp.1308049
  • Hystad, P., Demers, P., Johnson, K.C., Brook, J., van Donkelaar, A., Lamsal., L., Martin, R., Brauer, M. (2012). Spatiotemporal air pollution exposure assessment for a Canadian population-based lung cancer case-control study. Environmental Health. 11:22. doi:10.1186/1476-069X-11-22 (Highly accessed)
  • Brauer, M., Hystad, P. (2014). Invited Commentary: Cities and Health…let me count the ways. Epidemiology. 25(4):526-7. doi: 10.1097/EDE.0000000000000110.