PLoS ONE · 2021 · 12 citations · 37 references
Public HealthPopulation Health SciencesPublic Health PracticeEpidemiologic MethodsEpidemiologyPublic Health SurveillanceAnalytic EpidemiologyDescriptive EpidemiologyDisease ControlDisease Surveillance SystemsHealth Risk AssessmentMorbidity AnalysisGeographic Morbidity PatternsHealthcare ResourcesMobile HomesPandemic Risk AssessmentPopulation Morbidity ProfilesSpatial Epidemiology ModelingUninsured Rates
The ongoing COVID-19 pandemic is causing significant morbidity and mortality across the US. In this ecological study, we identified county-level variables associated with the COVID-19 case-fatality rate (CFR) using publicly available datasets and a negative binomial generalized linear model. Variables associated with decreased CFR included a greater number of hospitals per 10,000 people, banning religious gatherings, a higher percentage of people living in mobile homes, and a higher percentage of uninsured people. Variables associated with increased CFR included a higher percentage of the population over age 65, a higher percentage of Black or African Americans, a higher asthma prevalence, and a greater number of hospitals in a county. By identifying factors that are associated with COVID-19 CFR in US counties, we hope to help officials target public health interventions and healthcare resources to locations that are at increased risk of COVID-19 fatalities.
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Purposeful selection of variables in logistic regression
Zoran Bursac, C. Heath Gauss, David Williams et al. · Source Code for Biology and Medicine · 2008 · 3.9K citations · Full text