Demographic perspectives on the mortality of COVID-19 and other epidemics
Joshua R. Goldstein and
Ronald Lee ()
Additional contact information
Joshua R. Goldstein: Department of Demography, University of California, Berkeley, CA 94720
Proceedings of the National Academy of Sciences, 2020, vol. 117, issue 36, 22035-22041
Abstract:
To put estimates of COVID-19 mortality into perspective, we estimate age-specific mortality for an epidemic claiming for illustrative purposes 1 million US lives, with results approximately scalable over a broad range of deaths. We calculate the impact on period life expectancy (down 2.94 y) and remaining life years (11.7 y per death). Avoiding 1.75 million deaths or 20.5 trillion person years of life lost would be valued at $10.2 to $17.5 trillion. The age patterns of COVID-19 mortality in other countries are quite similar and increase at rates close to each country’s rate for all-cause mortality. The scenario of 1 million COVID-19 deaths is similar in scale to that of the decades-long HIV/AIDS and opioid-overdose epidemics but considerably smaller than that of the Spanish flu of 1918. Unlike HIV/AIDS and opioid epidemics, the COVID-19 deaths are concentrated in a period of months rather than spread out over decades.
Keywords: COVID-19; epidemic; mortality; demography; life expectancy (search for similar items in EconPapers)
Date: 2020
References: Add references at CitEc
Citations: View citations in EconPapers (20)
Downloads: (external link)
http://www.pnas.org/content/117/36/22035.full (application/pdf)
Related works:
Working Paper: Demographic Perspectives on Mortality of Covid-19 and Other Epidemics (2020) 
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:nas:journl:v:117:y:2020:p:22035-22041
Access Statistics for this article
More articles in Proceedings of the National Academy of Sciences from Proceedings of the National Academy of Sciences
Bibliographic data for series maintained by PNAS Product Team ().