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Estimating Older Adult Mortality From COVID-19
[Real estimates of mortality following COVID-19 infection]

Author

Listed:
  • Andy Sharma
  • Deborah S Carr

Abstract

ObjectivesThe purpose of this study was to employ simulations to model the probability of mortality from COVID-19 (i.e., coronavirus) for older adults in the United States given at best and at worst cases.MethodsThis study first examined current epidemiological reports to better understand the risk of mortality from COVID-19. Past epidemiological studies from severe acute respiratory syndrome were also examined given similar virology. Next, at best and at worst mortality cases were considered with the goal of estimating the probability of mortality. To accomplish this for the general population, microdata from the National Health Interview Survey pooled sample (2016, 2017, and 2018 public-use NHIS with a sample of 34,881 adults at least 60 years of age) were utilized. Primary measures included age and health status (diabetes, body mass index, and hypertension). A logit regression with 100,000 simulations was employed to derive the estimates and probabilities.ResultsAge exhibited a positive association for the probability of death with an odds ratio (OR) of 1.22 (p

Suggested Citation

  • Andy Sharma & Deborah S Carr, 2021. "Estimating Older Adult Mortality From COVID-19 [Real estimates of mortality following COVID-19 infection]," The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 76(3), pages 68-74.
    • Handle: RePEc:oup:geronb:v:76:y:2021:i:3:p:e68-e74.
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    File URL: http://hdl.handle.net/10.1093/geronb/gbaa161
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    Cited by:

    1. Marina Arkkukangas & Karin Strömqvist Bååthe & Anna Ekholm & Michail Tonkonogi, 2022. "Short Multicomponent Group Exercise Intervention Promotes Long-Term Physical Activity Habits among Community-Dwelling Older Adults during COVID-19 Restrictions: A Cohort Study," IJERPH, MDPI, vol. 19(22), pages 1-10, November.

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