ArticleHealthcare (Basel, Switzerland)2020
Predictors of Death Rate during the COVID-19 Pandemic.
Article in Healthcare (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.
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Who cites it
14 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Methods Used in the Spatial and Spatiotemporal Analysis of COVID-19 Epidemiology: A Systematic Review.International journal of environmental research and public health · 2022Pooled it
- Amplification of the power of network hubs and degree skewness over infectious disease spread during lulls.PloS one · 2025Article
- Resources availability and COVID-19 mortality among US counties.Frontiers in public health · 2023Article
- Assessing the role of collectivism and individualism on COVID-19 beliefs and behaviors in the Southeastern United States.PloS one · 2023Article
- Spatiotemporal clusters and the socioeconomic determinants of COVID-19 in Toronto neighbourhoods, Canada.Spatial and spatio-temporal epidemiology · 2022Article
- Actual Racial/Ethnic Disparities in COVID-19 Mortality for the Non-Hispanic Black Compared to Non-Hispanic White Population in 35 US States and Their Association with Structural Racism.Journal of racial and ethnic health disparities · 2022Article
- Exploring the socioeconomic drivers of COVID-19 mortality across various spatial regimes.The Geographical journal · 2022Article
- Ranking the importance of demographic, socioeconomic, and underlying health factors on US COVID-19 deaths: A geographical random forest approach.Health & place · 2022Article
- A Report Card on Prevention Efforts of COVID-19 Deaths in US.Healthcare (Basel, Switzerland) · 2021Article
- COVID-19 Community Incidence and Associated Neighborhood-Level Characteristics in Houston, Texas, USA.International journal of environmental research and public health · 2021Article
- Perceptions of Romanian Physicians on Lockdowns for COVID-19 Prevention.Healthcare (Basel, Switzerland) · 2021Article
- Article
- Models for Heart Failure Admissions and Admission Rates, 2016 through 2018.Healthcare (Basel, Switzerland) · 2020Article
- The Association of County-Level Presidential Election Outcome and COVID-19 Mortality in Colorado, 2020-2022.Journal of public health management and practice : JPHMPArticle
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Coronavirus (COVID-19) is a potentially fatal viral infection. This study investigates geography, demography, socioeconomics, health conditions, hospital characteristics, and politics as potential explanatory variables for death rates at the state and county levels. Data from the Centers for Disease Control and Prevention, the Census Bureau, Centers for Medicare and Medicaid, Definitive Healthcare, and USAfacts.org were used to evaluate regression models. Yearly pneumonia and flu death rates (state level, 2014-2018) were evaluated as a function of the governors' political party using a repeated measures analysis. At the state and county level, spatial regression models were evaluated. At the county level, we discovered a statistically significant model that included geography, population density, racial and ethnic status, three health status variables along with a political factor. A state level analysis identified health status, minority status, and the interaction between governors' parties and health status as important variables. The political factor, however, did not appear in a subsequent analysis of 2014-2018 pneumonia and flu death rates. The pathogenesis of COVID-19 has a greater and disproportionate effect within racial and ethnic minority groups, and the political influence on the reporting of COVID-19 mortality was statistically relevant at the county level and as an interaction term only at the state level.
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