TY  - JOUR
AU  - Moise, Imelda K.
PY  - 2020
TI  - Variation in Risk of COVID-19 Infection and Predictors of Social Determinants of Health in Miami-Dade County, Florida
T2  - Preventing Chronic Disease
JO  - Prev Chronic Dis
SP  - E124
VL  - 17
CY  - Centers for Disease Control and Prevention, Atlanta, Georgia 30333, USA.
N2  - Miami-Dade County zip code-level (N = 91 zip codes) coronavirus disease 2019 (COVID-19) cases (N = 89,556 as of July 21, 2020) reported from the Florida Department of Health were used to estimate rates of COVID-19 per 1,000 population at the census block group level (N = 1,594 study block groups). To identify associations between rates of COVID-19 infections and multidimensional indexes of social determinants of health (SDOH) across Miami-Dade County, Florida, I applied a global model (ordinary least squares) and a local regression model (geographically weighted regression). Findings indicated that a social disadvantage index positively affected COVID-19 infection rates, whereas a socioeconomic status and opportunity index and a convergence of vulnerability index had an inverse but significant connection to COVID-19 infection rates over the study area. Rates of COVID-19 infections were localized to specific geographic areas and ranged from 0 to 60.75 per 1,000 population per square mile.
SN  - 1545-1151
UR  - https://doi.org/10.5888/pcd17.200358
DO  - 10.5888/pcd17.200358
ER  - 
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