Spatial Modeling and Analysis of Heat-Related Morbidity in Maricopa County,Arizona |
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Authors: | Chuyuan Wang,Patricia Solí s,Lily Villa,Nayan Khare,Elizabeth A. Wentz,Aaron Gettel |
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Affiliation: | 1.Department of Geography and Environmental Planning, Towson University, 8000 York Road, Towson, MD 21252 USA ;2.Knowledge Exchange for Resilience, Arizona State University, Tempe, AZ 85287 USA ;3.School of Geographical Sciences and Urban Planning, Arizona State University, Tempe, AZ 85287 USA ;4.School of Human Evolution and Social Change, Arizona State University, Tempe, AZ 85287 USA ;5.Office of Epidemiology, Maricopa County Department of Public Health, Phoenix, AZ 85012 USA |
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Abstract: | The objective of the present study was to examine the effects of a confluence of demographic, socioeconomic, housing, and environmental factors that systematically contribute to heat-related morbidity in Maricopa County, Arizona, from theoretical, empirical, and spatial perspectives. The present study utilized ordinary least squares (OLS) regression and multiscale geographically weighted regression (MGWR) to analyze health data, U.S. census data, and remotely sensed data. The results suggested that the MGWR model showed a significant improvement in goodness of fit over the OLS regression model, which implies that spatial heterogeneity is an essential factor that influences the relationship between these factors. Populations of people aged 65+, Hispanic people, disabled people, people who do not own vehicles, and housing occupancy rate have much stronger local effects than other variables. These findings can be used to inform and educate local residents, communities, stakeholders, city managers, and urban planners in their ongoing and extensive efforts to mitigate the negative impacts of extreme heat on human health in Maricopa County. |
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Keywords: | Heat-related morbidity Census Remote sensing Multiscale geographically weighted regression Spatial heterogeneity Maricopa County |
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