Heat Related Health Disasters (HRHD) and Extreme Heat Events (EHE) are currently a major public health and climate change concern. EHEs are the number one cause of death in relation to environmental disasters; precipitated as an HRHD. Thought to exacerbate this phenomenon in urban settings is the Urban Heat Island (UHI) effect. Moreover, over 50% of the current worldwide population resides in an urban setting. Therefore the need of a system to specify spatially the areas of increased risk due to an EHE is apparent. The conceptualization of such a system is presented in a parsimonious fashion involving the description of geostatistical methods and thermal remote sensing platforms. Socioeconomic indicators of risk, to extreme heat, are discussed with how they potentially blend with neighborhood level thermal characteristics obtained from remotely sensed assets. Modeling such relationships is discussed with logistic regression and artificial neural networks. The primary proposed outputs are cartographic products elucidating risk from HRHDs. Such geospatial techniques have intrinsic abilities to both plan for and mitigate urban disasters. This conceptualization should assist medical geographers, public health practitioners and researchers in planning for the surveillance of HRHDs.
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Johnson, D.P. (2009). Geospatial Technologies for Surveillance of Heat Related Health Disasters. In: Gatrell, J.D., Jensen, R.R. (eds) Planning and Socioeconomic Applications. Geotechnologies and the Environment, vol 1. Springer, Dordrecht. https://doi.org/10.1007/978-1-4020-9642-6_10
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