2022 journal article

Geographic disparities and predictors of COVID-19 hospitalization risks in the St. Louis Area, Missouri (USA)

BMC PUBLIC HEALTH, 22(1).

By: M. Igoe*, P. Das n, S. Lenhart*, A. Lloyd n, L. Luong*, D. Tian*, C. Lanzas n, A. Odoi*

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. (via Semantic Scholar)
UN Sustainable Development Goal Categories
4. Quality Education (Web of Science)
Source: Web Of Science
Added: March 7, 2022

Abstract