COVID-19 fatalities by zip codes and socioeconomic indicators across various U.S. regions. (July 2021)
- Record Type:
- Journal Article
- Title:
- COVID-19 fatalities by zip codes and socioeconomic indicators across various U.S. regions. (July 2021)
- Main Title:
- COVID-19 fatalities by zip codes and socioeconomic indicators across various U.S. regions
- Authors:
- Sen-Crowe, Brendon
Lin, I-Chun
Alfaro, Robert
McKenney, Mark
Elkbuli, Adel - Abstract:
- Abstract: Background: There is a paucity of literature addressing COVID-19 case-fatality ratios (CFR) by zip code (ZC). We aim to analyze trends in COVID-19 CFR, population density, and socioeconomic status (SES) indicators (unemployment, median household income) to identify ZCs heavily burdened by COVID-19. Methods: Cross-sectional study to investigate the US prevalence of COVD-19 fatalities by ZC and SES. CFRs were calculated from state/county Departments of Health. Inclusion criteria were counties that reported cases/deaths by ZC and a CFR≥2%. This study was reported in line with the STROCSS criteria. Results: 609/1, 853 ZCs, spanning 327 counties in 7 states had CFRs ≥2%. A significant positive correlation was found between the CFR and median household income (Pearson correlation:0.107; 95% CI [289.1, 1937.9]; p < 0.001). No significant correlations exist between the CFR, and population/mi (Sen-Crowe et al., 2020) [2] or unemployment rate. Significant associations exist between the CFR and young males and elderly females without public insurance. CFR was inversely associated with persons aged <44 and individuals aged ≥65. The percentage of nursing homes (NHs) within cities residing within high CFR ZCs range from 8.7% to 67.6%. Conclusion: Significant positive association was found between the CFR and median household income. Population/mi (Sen-Crowe et al., 2020) [2] and unemployment rates, did not correlate to CFR. NHs were heavily distributed in high CFR zip codes. WeAbstract: Background: There is a paucity of literature addressing COVID-19 case-fatality ratios (CFR) by zip code (ZC). We aim to analyze trends in COVID-19 CFR, population density, and socioeconomic status (SES) indicators (unemployment, median household income) to identify ZCs heavily burdened by COVID-19. Methods: Cross-sectional study to investigate the US prevalence of COVD-19 fatalities by ZC and SES. CFRs were calculated from state/county Departments of Health. Inclusion criteria were counties that reported cases/deaths by ZC and a CFR≥2%. This study was reported in line with the STROCSS criteria. Results: 609/1, 853 ZCs, spanning 327 counties in 7 states had CFRs ≥2%. A significant positive correlation was found between the CFR and median household income (Pearson correlation:0.107; 95% CI [289.1, 1937.9]; p < 0.001). No significant correlations exist between the CFR, and population/mi (Sen-Crowe et al., 2020) [2] or unemployment rate. Significant associations exist between the CFR and young males and elderly females without public insurance. CFR was inversely associated with persons aged <44 and individuals aged ≥65. The percentage of nursing homes (NHs) within cities residing within high CFR ZCs range from 8.7% to 67.6%. Conclusion: Significant positive association was found between the CFR and median household income. Population/mi (Sen-Crowe et al., 2020) [2] and unemployment rates, did not correlate to CFR. NHs were heavily distributed in high CFR zip codes. We recommend the targeted vaccination of zip codes with a large proportion of long-term care facilities. Finally, we recommend for improved screening and safety guidelines for vulnerable populations (e.g nursing home residents) and established protocols for when there is evidence of substantial infectious spread. Highlights: First national sampling of COVID-19 Case Fatality Ratio (CFR) at the zip code level. Population density and unemployment rate did not correlate to COVID-19 CFR. Significant positive correlation was found between CFR and median household income. Nursing homes were concentrated in zip codes with high COVID-19 CFR. States should make COVID-19 data available at the zip code level. … (more)
- Is Part Of:
- Annals of medicine and surgery. Volume 67(2021)
- Journal:
- Annals of medicine and surgery
- Issue:
- Volume 67(2021)
- Issue Display:
- Volume 67, Issue 2021 (2021)
- Year:
- 2021
- Volume:
- 67
- Issue:
- 2021
- Issue Sort Value:
- 2021-0067-2021-0000
- Page Start:
- Page End:
- Publication Date:
- 2021-07
- Subjects:
- COVID-19 -- Case fatality rate -- COVID-19 vaccination -- Socio-economic status -- Zip codes
Surgery -- Periodicals
Medicine -- Periodicals
General Surgery -- Periodicals
Education, Medical -- Periodicals
Periodicals
617 - Journal URLs:
- http://www.sciencedirect.com/science/journal/20490801 ↗
http://bibpurl.oclc.org/web/73795 ↗
http://www.clinicalkey.com/dura/browse/journalIssue/20490801 ↗
http://www.clinicalkey.com.au/dura/browse/journalIssue/20490801 ↗
http://www.annalsjournal.com/home ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.amsu.2021.102471 ↗
- Languages:
- English
- ISSNs:
- 2049-0801
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 17455.xml