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Activity Number: 423
Type: Topic Contributed
Date/Time: Tuesday, August 2, 2016 : 2:00 PM to 3:50 PM
Sponsor: Section on Bayesian Statistical Science
Abstract #319358 View Presentation
Title: Urban Heat Risk Mapping of Houston, Texas, Using Multiple Point Patterns
Author(s): Jacob Mortensen* and Matthew J. Heaton and Olga Wilhelmi
Companies: Brigham Young University and Brigham Young University and National Center for Atmospheric Research
Keywords: Poisson point process ; Risk mapping ; Bayesian hierarchical modeling

Extreme heat, or persistently high temperatures in the form of heat waves, adversely impacts human health. To study such effects, risk maps are a common epidemiological tool used to identify regions and populations that are more susceptible to these negative outcomes; however, the negative health effects of high temperatures are manifested differently among different segments of the population. In this paper, we propose a novel, hierarchical marked point process model that merges multiple health outcomes into an overall heat risk map. Specifically, we consider health outcomes of heat stress-related 911 calls and mortalities across the city of Houston, Texas. We show that combining multiple health outcomes leads to a broader understanding of the spatial distribution of heat risk than a single health outcome.

Authors who are presenting talks have a * after their name.

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