County-level Predictors of Coronavirus Disease 2019 (COVID-19) Cases and Deaths in the United States: What Happened, and Where Do We Go from Here?. (19th November 2020)
- Record Type:
- Journal Article
- Title:
- County-level Predictors of Coronavirus Disease 2019 (COVID-19) Cases and Deaths in the United States: What Happened, and Where Do We Go from Here?. (19th November 2020)
- Main Title:
- County-level Predictors of Coronavirus Disease 2019 (COVID-19) Cases and Deaths in the United States: What Happened, and Where Do We Go from Here?
- Authors:
- McLaughlin, John M
Khan, Farid
Pugh, Sarah
Angulo, Frederick J
Schmitt, Heinz-Josef
Isturiz, Raul E
Jodar, Luis
Swerdlow, David L - Abstract:
- Abstract: Background: The United States has been heavily impacted by the coronavirus disease 2019 (COVID-19) pandemic. Understanding microlevel patterns in US rates of COVID-19 can inform specific prevention strategies. Methods: Using a negative binomial mixed-effects regression model, we evaluated the associations between a broad set of US county-level sociodemographic, economic, and health status–related characteristics and cumulative rates of laboratory-confirmed COVID-19 cases and deaths between 22 January 2020 and 31 August 2020. Results: Rates of COVID-19 cases and deaths were higher in US counties that were more urban or densely populated or that had more crowded housing, air pollution, women, persons aged 20–49 years, racial/ethnic minorities, residential housing segregation, income inequality, uninsured persons, diabetics, or mobility outside the home during the pandemic. Conclusions: To our knowledge, this study provides results from the most comprehensive multivariable analysis of county-level predictors of rates of COVID-19 cases and deaths conducted to date. Our findings make clear that ensuring that COVID-19 preventive measures, including vaccines when available, reach vulnerable and minority communities and are distributed in a manner that meaningfully disrupts transmission (in addition to protecting those at highest risk of severe disease) will likely be critical to stem the pandemic. Abstract : Ensuring that coronavirus disease 2019 (COVID-19) preventionAbstract: Background: The United States has been heavily impacted by the coronavirus disease 2019 (COVID-19) pandemic. Understanding microlevel patterns in US rates of COVID-19 can inform specific prevention strategies. Methods: Using a negative binomial mixed-effects regression model, we evaluated the associations between a broad set of US county-level sociodemographic, economic, and health status–related characteristics and cumulative rates of laboratory-confirmed COVID-19 cases and deaths between 22 January 2020 and 31 August 2020. Results: Rates of COVID-19 cases and deaths were higher in US counties that were more urban or densely populated or that had more crowded housing, air pollution, women, persons aged 20–49 years, racial/ethnic minorities, residential housing segregation, income inequality, uninsured persons, diabetics, or mobility outside the home during the pandemic. Conclusions: To our knowledge, this study provides results from the most comprehensive multivariable analysis of county-level predictors of rates of COVID-19 cases and deaths conducted to date. Our findings make clear that ensuring that COVID-19 preventive measures, including vaccines when available, reach vulnerable and minority communities and are distributed in a manner that meaningfully disrupts transmission (in addition to protecting those at highest risk of severe disease) will likely be critical to stem the pandemic. Abstract : Ensuring that coronavirus disease 2019 (COVID-19) prevention strategies, including vaccination once available, reach the same vulnerable communities that have been disproportionately impacted by COVID-19 to date and target interruption of transmission will likely be critical to stem the pandemic. … (more)
- Is Part Of:
- Clinical infectious diseases. Volume 73:Number 7(2021)
- Journal:
- Clinical infectious diseases
- Issue:
- Volume 73:Number 7(2021)
- Issue Display:
- Volume 73, Issue 7 (2021)
- Year:
- 2021
- Volume:
- 73
- Issue:
- 7
- Issue Sort Value:
- 2021-0073-0007-0000
- Page Start:
- e1814
- Page End:
- e1821
- Publication Date:
- 2020-11-19
- Subjects:
- risk-factors -- disparities -- vulnerable populations -- transmission -- vaccine distribution
Communicable diseases -- Periodicals
616.905 - Journal URLs:
- http://cid.oxfordjournals.org ↗
http://ukcatalogue.oup.com/ ↗
http://www.journals.uchicago.edu/CID/journal ↗
http://www.jstor.org/journals/10584838.html ↗ - DOI:
- 10.1093/cid/ciaa1729 ↗
- Languages:
- English
- ISSNs:
- 1058-4838
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3286.293860
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 25052.xml