期刊
SPATIAL AND SPATIO-TEMPORAL EPIDEMIOLOGY
卷 8, 期 -, 页码 23-33出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.sste.2014.01.002
关键词
Environmental health; Heat stress; Hierarchical model; Socioeconomic disparity; Urban vulnerability
资金
- NASA [NNX10AK79G]
- National Science Foundation
- NASA [NNX10AK79G, 126733] Funding Source: Federal RePORTER
Identifying and characterizing urban vulnerability to heat is a key step in designing intervention strategies to combat negative consequences of extreme heat on human health. This study combines excess non-accidental mortality counts, numerical weather simulations, US Census and parcel data into an assessment of vulnerability to heat in Houston, Texas. Specifically, a hierarchical model with spatially varying coefficients is used to account for differences in vulnerability among census block groups. Socio-economic and demographic variables from census and parcel data are selected via a forward selection algorithm where at each step the remaining variables are orthogonalized with respect to the chosen variables to account for collinearity. Daily minimum temperatures and composite heat indices (e.g. discomfort index) provide a better model fit than other ambient temperature measurements (e.g. maximum temperature, relative humidity). Positive interactions between elderly populations and heat exposure were found suggesting these populations are more responsive to increases in heat. (C) 2014 Elsevier Ltd. All rights reserved.
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