Evidence map›Paper›PMID 36597526›Full record

ArticlemedRxiv : the preprint server for health sciences2023

Estimates of COVID-19 deaths in Mainland China after abandoning zero COVID policy.

John P A Ioannidis, Francesco Zonta, Michael Levitt

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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0citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

John P A IoannidisMeta-Research Innovation Center at Stanford (METRICS), Stanford University, Stanford, CA 94305, USA.
Francesco ZontaShanghai Institute for Advanced Immunochemical Studies, ShanghaiTech University, Shanghai 201210, China.
Michael LevittDepartment of Structural Biology, Stanford University, Stanford, CA 94305, USA.

Funding

Emergent Properties of Complex Systems: From Atoms to Macromolecules; from Humans to SocietiesR35GM122543 · NIGMS · STANFORD UNIVERSITY · PI MICHAEL LEVITT · 2017 to 2026
$5.1M
NIGMS NIH HHS R35 GM122543
6 · The paper itself

Abstract

Background: 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. Methods: 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. Results: 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. Conclusions: The most critical factor that can affect total COVID-19 fatalities in China is the extent to which the elderly can be protected.

Identifiers

PMID36597526
PMCPMC9810234

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LicenceCC BY-NC-ND
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.