Spatially Distributed Environmental Factors and Health Effects

Sunday, February 17, 2013: 8:30 AM-11:30 AM
Room 313 (Hynes Convention Center)
Understanding the health impact of environmental factors, from climate to ambient air quality to heat waves, requires new statistical methodologies that link a multiple series of spatially distributed temporal information. Environmental data may differ according to the factors measured, and health-based data come in many forms, from person-specific information to aggregated Census tract statistics. Understanding and incorporating the complexity of the differing data structures is key. Further, it is critical to incorporate the spatial uncertainty associated with environmental and health-based observational data. Four leading health and environmental statisticians address these key statistical issues as they answer important questions related to the health impact of adverse environmental conditions.
Katherine B. Ensor, Rice University
Loren H. Raun, Rice University
Stephan Sain, Institute for Mathematics Applied to Geosciences
Climate Health and Vulnerability in Urban Populations
Lance A. Waller, Emory University
Spatial Uncertainty Estimation and Public Health Data
Katherine B. Ensor, Rice University
Association Between Ambient Ozone and Cardiac Arrest
See more of: Environment and Ecology
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