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Resources availability and Covid-19 mortality among US counties

Bibliographic Data

ID22090513
AuthorsJosué Patien Epané (0000-0003-4936-8044, Loma Linda University, corresponding author), Ferhat D Zengul (0000-0002-8454-1335, University of Alabama at Birmingham), Ferhat Zengul, Zo Ramamonjiarivelo (0000-0001-5756-3582, Texas State University), Luceta McRoy (Lander University), Robert Weech-Maldonado (0000-0002-5005-0909, University of Alabama at Birmingham)
Year2023
Volume11
Pages1098571-1098571
Publication date2023-03-01
Open AccessYes
TypeARTICLE
VenueFrontiers in Public Health (JOURNAL)
Journal identifiersISSN: 2296-2565 • E-ISSN: 2296-2565
PublisherFrontiers Media SA (PUBLISHER • CH)
DOI10.3389/fpubh.2023.1098571
PMID36935689
OpenAlexW4322735815
LanguageEN
Citations received2
References cited24

The COVID-19 was declared a pandemic by WHO on 03/2020 has claimed millions of lives worldwide. The US leads all countries in COVID-19-related deaths. Individual level (preexisting conditions and demographics) and county-level (availability of resources) factors have been attributed to increased risk of COVID-19-related deaths. This study builds on previous studies to assess the relationship between county-level resources and COVID-19 mortality among 2,438 US counties. We merged 2019 data from AHA, AHRF, and USA FACTS. The dependent variable was the total number of COVID-19-related deaths. Independent variables included county-level resources: (1) hospital staffing levels (FTE RNs, hospitalists, and intensivists) per 10,000 population; (2) hospital capacity (occupancy rate, proportion of teaching hospitals, and number of airborne infection control rooms per 10,000 population); and (3) macroeconomic resources [per capita income and location (urban/rural)]. We controlled for population 65+, racial/ethnic minority, and COVID-19 deaths per 1,000 population. A negative binomial regression was used. Hospital staffing per 10,000 population {FTE RN [IRR = 0.997; CI (0.995–0.999)], FTE hospitalists [IRR = 0.936; CI (0.897–0.978)], and FTE intensivists [IRR = 0.606; CI (0.516–0.712)]} was associated with lower COVID-19-related deaths. Hospital occupancy rate, proportion of teaching hospitals, and total number of airborne infection control rooms per 10,000 population were positively associated with COVID-19-related deaths. Per capita income and being in an urban county were positively associated with COVID-19-related deaths. Finally, the proportion of 65+, racial/ethnic minorities, and the number of cases were positively associated with COVID-19-related deaths. Our findings suggest that focusing on maintaining adequate hospital staffing could improve COVID-19 mortality

2019-20 coronavirus outbreak · Biology · Disease · Environmental health · Geography · MEDLINE · Outbreak · Pandemic · COVID-19 and healthcare impacts · COVID-19 Clinical Research Studies · COVID-19 epidemiological studies · Medicine · Virology

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Citations per year1
Citation span2024 - 2025 (2)
Highly citedNo

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Open DOIOpen Access
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