COVID-19 mortality risk for older men and women.
Abstract
<h4>Background</h4>Case-fatality from COVID-19 has been reported to be relatively
high in patients age 65 years or older. We sought to determine the age-specific rates
of COVID-19 mortality at the population level.<h4>Methods</h4>We obtained information
regarding the total number of COVID-19 reported deaths for six consecutive weeks beginning
at the 50th recorded death, among 16 countries that reported a relatively high number
of COVID-19 cases as of April 12, 2020. We performed an ecological study to model
COVID-19 mortality rates per week by age group (54 years or younger, 55-64 years,
and 65 years or older) and sex using a Poisson mixed effects regression model.<h4>Results</h4>Over
the six-week period of data, there were 178,568 COVID-19 deaths from a total population
of approximately 2.4 billion people. Age and sex were associated with COVID-19 mortality.
Compared with individuals ages 54 years or younger, the incident rate ratio (IRR)
was 8.1, indicating that the mortality rate of COVID-19 was 8.1 times higher (95%CI = 7.7,
8.5) among those 55 to 64 years, and more than 62 times higher (IRR = 62.1; 95%CI = 59.7,
64.7) among those ages 65 or older. Mortality rates from COVID-19 were 77% higher
in men than in women (IRR = 1.77, 95%CI = 1.74, 1.79).<h4>Conclusions</h4>In the 16
countries examined, persons age 65 years or older had strikingly higher COVID-19 mortality
rates compared to younger individuals, and men had a higher risk of COVID-19 death
than women.
Type
Journal articleSubject
HumansPneumonia, Viral
Coronavirus Infections
Mortality
Risk
Age Distribution
Sex Distribution
Aged
Middle Aged
Female
Male
Pandemics
Global Health
COVID-19
Permalink
https://hdl.handle.net/10161/26496Published Version (Please cite this version)
10.1186/s12889-020-09826-8Publication Info
Yanez, N David; Weiss, Noel S; Romand, Jacques-André; & Treggiari, Miriam M (2020). COVID-19 mortality risk for older men and women. BMC public health, 20(1). pp. 1742. 10.1186/s12889-020-09826-8. Retrieved from https://hdl.handle.net/10161/26496.This is constructed from limited available data and may be imprecise. To cite this
article, please review & use the official citation provided by the journal.
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Show full item recordScholars@Duke
Miriam Treggiari
Instructor Temporary in the Department of Anesthesiology
David Yanez
Professor of Biostatistics & Bioinformatics
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