Tuesday, 25 January 2011: 4:45 PM
4C-2 (Washington State Convention Center)
Extreme heat events are responsible for excess morbidity and mortality on a global scale, and are the primary cause of weather related deaths in the United States. Using California as a pilot, morbidity and mortality risk estimates across a variety of temperature thresholds were assessed and compared by zip code to construct statewide risk maps. Morbidity and mortality risk estimates were compared in order to challenge the current theory that heat-related mortality fully represents risk across the population. This study highlights the use of local-scale health data incorporated by the use of GIS technology with meteorological data to address complex public health issues.
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