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Author Notes:

Nathaniel Chishinga, MD, Piedmont Athens Regional Hospital, 1270 Prince Avenue, Suite 102, Athens, Georgia 30606, USA. Email: nathaniel.chishinga@piedmont.org

All authors had full access to all the data in the study and take responsibility for the integrity of the data and the accuracy of the data analysis. N. C. and N. S. S. contributed to concept and design and drafting the manuscript. All authors contributed to acquisition, analysis, or interpretation of data and critical revision of the manuscript for important intellectual content. N. C., N. R. G., and N. S. S. contributed to statistical analysis. N. S. S., N. R. G., and F. K. supervised the work.

All authors: No reported conflicts. All authors have submitted the ICMJE Form for Disclosure of Potential Conflicts of Interest.

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Research Funding:

N. R. G. received funding in part from the US National Institutes of Health (Grant K24AI114444). In addition, N. R. G., N. S. S., and A. T. C. received funding in part from the Emory COVID-19 Response Collaborative, which is funded by a grant from the Robert W. Woodruff Foundation.

Keywords:

  • Science & Technology
  • Life Sciences & Biomedicine
  • Immunology
  • Infectious Diseases
  • Microbiology
  • case fatality rate
  • cohort
  • COVID-19
  • mortality
  • risk factors
  • OUTCOMES

Characteristics and Risk Factors for Mortality by Coronavirus Disease 2019 Pandemic Waves in Fulton County, Georgia: A Cohort Study March 2020-February 2021

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Journal Title:

OPEN FORUM INFECTIOUS DISEASES

Volume:

Volume 9, Number 4

Publisher:

, Pages ofac101-ofac101

Type of Work:

Article | Final Publisher PDF

Abstract:

Background: We examined differences in mortality among coronavirus disease 2019 (COVID-19) cases in the first, second, and third waves of the COVID-19 pandemic. Methods: A retrospective cohort study of COVID-19 cases in Fulton County, Georgia, USA, reported to a public health surveillance from March 2020 through February 2021. We estimated case-fatality rates (CFR) by wave and used Cox proportional hazards random-effects models in each wave, with random effects at individual and long-term-care-facility level, to determine risk factors associated with rates of mortality. Results: Of 75 289 confirmed cases, 4490 (6%) were diagnosed in wave 1 (CFR 31 deaths/100 000 person days [pd]), 24 293 (32%) in wave 2 (CFR 7 deaths/100 000 pd), and 46 506 (62%) in wave 3 (CFR 9 deaths/100 000 pd). Compared with females, males were more likely to die in each wave: Wave 1 (adjusted hazard ratio [aHR], 1.5; 95% confidence interval [CI], 1.2-1.8), wave 2 (aHR 1.5, 95% CI, 1.2-1.8), and wave 3 (aHR 1.7, 95% CI, 1.5-2.0). Compared with non-Hispanic whites, non-Hispanic blacks were more likely to die in each wave: Wave 1 (aHR, 1.4; 95% CI, 1.1-1.8), wave 2 (aHR, 1.5; 95% CI, 1.2-1.9), and wave 3 (aHR, 1.7; 95% CI, 1.4-2.0). Cases with any disability, chronic renal disease, and cardiovascular disease were more likely to die in each wave compared with those without these comorbidities. Conclusions: Our study found gender and racial/ethnic disparities in COVID-19 mortality and certain comorbidities associated with COVID-19 mortality. These factors have persisted throughout the COVID-19 pandemic waves, despite improvements in diagnosis and treatment.

Copyright information:

© The Author(s) 2022. Published by Oxford University Press on behalf of Infectious Diseases Society of America.

This is an Open Access work distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (https://creativecommons.org/licenses/by-nc-nd/4.0/rdf).
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