Estimates of <scp>COVID</scp> ‐19 deaths in Mainland China after abandoning zero <scp>COVID</scp> policy release_raysnx3h3zeizdvwx6o4oiaevm

by John Ioannidis, Francesco Zonta, Michael Levitt

Published in European Journal of Clinical Investigation by Wiley.

2023   Volume 53, Issue 4, e13956


China witnessed a surge of Omicron infections after abandoning "zero COVID" strategies on December 7, 2022. The authorities report very sparse deaths based on very restricted criteria, but massive deaths are speculated. We aimed to estimate the COVID-19 fatalities in Mainland China until summer 2023 using the experiences of Hong Kong and of South Korea in 2022 as prototypes. Both these locations experienced massive Omicron waves after having had very few SARS-CoV-2 infections during 2020-2021. We estimated age-stratified infection fatality rates (IFRs) in Hong Kong and South Korea during 2022 and extrapolated to the population age structure of Mainland China. We also accounted separately for deaths of residents in long-term care facilities in both Hong Kong and South Korea. IFR estimates in non-elderly strata were modestly higher in Hong Kong than South Korea and projected 987,455 and 619,549 maximal COVID-19 deaths, respectively, if the entire China population was infected. Expected COVID-19 deaths in Mainland China until summer 2023 ranged from 49,962 to 691,219 assuming 25-70% of the non-elderly population being infected and variable protection of elderly (from none to three-quarter reduction in fatalities). The main analysis (45% of non-elderly population infected and fatality impact among elderly reduced by half) estimated 152,886-249,094 COVID-19 deaths until summer 2023. Large uncertainties exist regarding potential changes in dominant variant, health system strain, and impact on non-COVID-19 deaths. The most critical factor that can affect total COVID-19 fatalities in China is the extent to which the elderly can be protected.
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Type  article-journal
Stage   published
Date   2023-01-23
Language   en ?
DOI  10.1111/eci.13956
PubMed  36691703
PMC  PMC10407651
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ISSN-L:  0014-2972
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