Geographic disparities and predictors of COVID-19 hospitalization risks in the St. Louis Area, Missouri (USA)
BMC PUBLIC HEALTH, 22(1).
author keywords: Severe Acute Respiratory Syndrome Coronavirus 2; SARS-CoV-2; Coronavirus Disease 2019; COVID-19; Disparities; Hospitalization Risks; Predictors; Negative Binomial Models; Geographically Weighted Regression Models; Epidemiology; Missouri
MeSH headings : COVID-19; Hospitalization; Humans; Missouri / epidemiology; Models, Statistical; SARS-CoV-2
TL;DR:
Investigation of Zip Code Tabulation Area (ZCTA)-level geographic disparities and identify predictors of COVID-19 hospitalization risks in the St. Louis area found that a ‘one-size-fits-all’ approach may not be appropriate for management and control.
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