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Cited by 1,366

The DOI matches its Crossref record; 83 of the 83 references it cites were found in a registry or an index.

Global Prevalence of Post-Coronavirus Disease 2019 (COVID-19) Condition or Long COVID: A Meta-Analysis and Systematic Review

Open access
Chen, Chen, Haupert, Spencer R, Zimmermann, Lauren, Shi, Xu, Fritsche, Lars G, Mukherjee, Bhramar·2022·The Journal of Infectious Diseases

Published version of a preprint

Abstract

Background: This study aims to examine the worldwide prevalence of post-coronavirus disease 2019 (COVID-19) condition, through a systematic review and meta-analysis. Methods: PubMed, Embase, and iSearch were searched on July 5, 2021 with verification extending to March 13, 2022. Using a random-effects framework with DerSimonian-Laird estimator, we meta-analyzed post-COVID-19 condition prevalence at 28+ days from infection. Results: Fifty studies were included, and 41 were meta-analyzed. Global estimated pooled prevalence of post-COVID-19 condition was 0.43 (95% confidence interval [CI], .39–.46). Hospitalized and nonhospitalized patients had estimates of 0.54 (95% CI, .44–.63) and 0.34 (95% CI, .25–.46), respectively. Regional prevalence estimates were Asia (0.51; 95% CI, .37–.65), Europe (0.44; 95% CI, .32–.56), and United States of America (0.31; 95% CI, .21–.43). Global prevalence for 30, 60, 90, and 120 days after infection were estimated to be 0.37 (95% CI, .26–.49), 0.25 (95% CI, .15–.38), 0.32 (95% CI, .14–.57), and 0.49 (95% CI, .40–.59), respectively. Fatigue was the most common symptom reported with a prevalence of 0.23 (95% CI, .17–.30), followed by memory problems (0.14; 95% CI, .10–.19). Conclusions: This study finds post-COVID-19 condition prevalence is substantial; the health effects of COVID-19 seem to be prolonged and can exert stress on the healthcare system.

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Show all 83 references

Research works printed but not linked: 7

  1. Zimmermann, SARS-CoV-2 infection fatality rates in India: systematic review, meta-analysis and model-based estimation. Stud Microecon 2021; 9(2):137–79.
  2. World Health Organization, 2004, ICD-10: International Statistical Classification of Diseases and Related Health Problems: Tenth Revision
  3. Martin, 2017, Critical appraisal checklist for prevalence studies
  4. Zheng, 2021, Long-term clinical sequelae and immunological features of COVID-19 survivors: a cross-sectional study, SSRN
  5. Areekal, 2021, Persistence of symptoms after acute COVID-19 infection- an experience from a tertiary care centre in South India, J Clin Diagn Res, 15, C05
  6. Lampl, 2021, Clinical and epidemiological data of COVID-19 from Regensburg, Germany: a retrospective analysis of 1084 consecutive cases, Infection, 49, 661, 10.1007/s15010-021-01580-2 · doi:10.1007/s15010-021-01580-2
  7. Yomogida, 2022, Longitudinal surveillance of Post-Acute Sequelae of SARS-CoV-2 (PASC) among Long Beach City residents, April-December, 2020, MMWR Morb Mortal Wkly Rep, 116, S27

Cited by

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Metadata

Authors
Chen, C., Haupert, S. R., Zimmermann, L., Shi, X., Fritsche, L. G., & Mukherjee, B.
Venue
The Journal of Infectious Diseases
Published
2022-04-16
Volume
226
Issue
9
Pages
1593-1607
ISSN
  • 0022-1899 (ISSN-L)
  • 1537-6613
OpenAlex
W4224043752
Cited by
1,366
References
83
FWCI
53.76
Type
journal article
Language
en
Open access
green
Funders
University of Michigan

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CoChat. (2026). Citation check: Global Prevalence of Post-Coronavirus Disease 2019 (COVID-19) Condition or Long COVID: A Meta-Analysis and Systematic Review. https://app.cochat.ai/papers/10.1093/infdis/jiac136
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Chen, C., Haupert, S. R., Zimmermann, L., Shi, X., Fritsche, L. G., & Mukherjee, B. (2022). Global Prevalence of Post-Coronavirus Disease 2019 (COVID-19) Condition or Long COVID: A Meta-Analysis and Systematic Review. The Journal of Infectious Diseases. https://doi.org/10.1093/infdis/jiac136

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