TY - JOUR
T1 - Variation in Risk of COVID-19 Infection and Predictors of Social Determinants of Health in Miami-Dade County, Florida
AU - Moise, Imelda K.
AU - Moise, Imelda
N1 - Funding Information:
No funding was secured for this study. The author has no finan-cial relationships relevant to this article and no conflicts of in-terest to disclose. No copyrighted surveys, instruments, or tools were used in this secondary data analysis.
PY - 2020/10
Y1 - 2020/10
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 disadvant- age 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.
AB - 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 disadvant- age 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.
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U2 - 10.5888/pcd17.200358
DO - 10.5888/pcd17.200358
M3 - Article
C2 - 33034555
AN - SCOPUS:85092801787
VL - 17
SP - 1
EP - 5
JO - Preventing chronic disease
JF - Preventing chronic disease
SN - 1545-1151
ER -