S10 | Spatializing Environmental Health
March 08th, 2017 09:00am-12:00pm
Geographic Information Systems have been absolutely fundamental in revealing patterns of inequalities in environmental exposures and mapping them. Many advances (GPS, remote sensing, open geographic data…) that have occurred in the past 20 years have helped us to better understand the spatial and temporal dimensions of exposures that are either harmful or beneficial for people’s health. . We will present state-of-the-art methods, assessing environmental exposure and analyzing data on population, health events, and risk factors. We will address several methodological issues related to the use of geographic information and spatial analysis and modelling in environmental health (privacy, MAUP, ecological fallacy, homogeneity/heterogeneity…).
Case studies will be developed to illustrate the current methods used and the potential of spatial data and GIS tools (examples of different health effects, ways of exposure in urban and rural areas…)
At the end of the session, the students should be able to:
– Describe the spatial and temporal dimensions of environmental exposures
– Summarize the state of the art GIS methods assessing environmental exposures
– Discuss major methodological issues while using GIS analysis for environmental health
Richardson D et al., Spatial Turn in Health Research Science. 2013 March 22; 339(6126): 1390–1392
Yang, Shoff, Noah, Spatializing health research: what we know and where we are heading Geospat Health. 2013 May ; 7(2): 161–168.
Boulos K. et al, Crowdsourcing, citizen sensing and sensor web technologies for public and environmental health surveillance and crisis management: trends, OGC standards and application examples International Journal of Health Geographics 2011 10:67
Buscail C, Upegui E, Viel JF. Mapping heatwave health risk at the community level for public health action. International Journal of Health Geographics, 2012, 11(1), pp.38.
Herbreteau V, Demoraes F, Khaungaew W, Hugot JP, et al. Use of geographic information system and remote sensing for assessing environment influence on leptospirosis incidence, Phrae province, Thailand. International Journal of Geoinformatics, 2006, 2(4), pp. 43-50.
Fabre P. Daniau C, Goria S, Crouy-Chanel P, Paez A, Empereur-Bissonnet P. Study of the incidence of cancers close to municipal solid waste incinerators. Summary. Saint Maurice (Fra): French Institute for Public Health Surveillance, July 2009, 29p.
Chevrier C, Serrano T, Lecerf R, Limon G, et al. Environmental determinants of the urinary concentrations of herbicides during pregnancy : The PELAGIE mother – child cohort (France). Environment International 63(2014): 11-18.
Cromley E, McLafferty S, GIS and Public Health (Second Edition). 2012. New York, NY: Guilford Press. 503
Albert D, Gesler W, Levergood B. Spatial analysis, GIS and remote sensing applications in the health sciences. 2000.Sleeping bear press. 231p. (pdf available on internet)