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      Global Prevalence of Post COVID-19 Condition or Long COVID: A Meta-Analysis and Systematic Review

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          Abstract

          Introduction

          This study aims to examine the worldwide prevalence of post 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

          50 studies were included, and 41 were meta-analyzed. Global estimated pooled prevalence of post COVID-19 condition was 0.43 (95% CI: 0.39,0.46). Hospitalized and non-hospitalized patients have estimates of 0.54 (95% CI: 0.44,0.63) and 0.34 (95% CI: 0.25,0.46), respectively. Regional prevalence estimates were Asia— 0.51 (95% CI: 0.37,0.65), Europe— 0.44 (95% CI: 0.32,0.56), and North America— 0.31 (95% CI: 0.21,0.43). Global prevalence for 30, 60, 90, and 120 days after infection were estimated to be 0.37 (95% CI: 0.26,0.49), 0.25 (95% CI: 0.15,0.38), 0.32 (95% CI: 0.14,0.57) and 0.49 (95% CI: 0.40,0.59), respectively. Fatigue was the most common symptom reported with a prevalence of 0.23 (95% CI: 0.17,0.30), followed by memory problems (0.14 [95% CI: 0.10,0.19]).

          Discussion

          This study finds post COVID-19 condition prevalence is substantial; the health effects of COVID-19 appear to be prolonged and can exert stress on the healthcare system.

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          Author and article information

          Journal
          J Infect Dis
          J Infect Dis
          jid
          The Journal of Infectious Diseases
          Oxford University Press
          0022-1899
          1537-6613
          16 April 2022
          16 April 2022
          : jiac136
          Affiliations
          [1 ]Department of Biostatistics, University of Michigan School of Public Health , Ann Arbor, MI 48109, USA
          [2 ] Center for Precision Health Data Science, University of Michigan , Ann Arbor, MI 48109, USA
          [3 ] Rogel Cancer Center, University of Michigan Medicine , Ann Arbor, MI 48109, USA
          [4 ] Center for Statistical Genetics, University of Michigan School of Public Health , Ann Arbor, MI 48109, USA
          [5 ]Department of Epidemiology, University of Michigan School of Public Health , Ann Arbor, MI 48109, USA
          Author notes
          Correspondence to: Bhramar Mukherjee, PhD Department of Biostatistics University of Michigan School of Public Health 1415 Washington Heights Ann Arbor, MI 48109. Email: bhramar@ 123456umich.edu
          Alternate corresponding author: Lauren Zimmermann Department of Biostatistics University of Michigan School of Public Health 1415 Washington Heights Ann Arbor, MI 48109. Email: lzimm@ 123456umich.edu
          [*]

          Equal contributions

          Author information
          https://orcid.org/0000-0003-2743-9905
          https://orcid.org/0000-0003-0118-4561
          Article
          jiac136
          10.1093/infdis/jiac136
          9047189
          35429399
          e3ea043c-fcdf-4f1b-9251-986849e824fe
          © The Author(s) 2022. Published by Oxford University Press on behalf of Infectious Diseases Society of America and HIV Medicine Association. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com

          This article is published and distributed under the terms of the Oxford University Press, Standard Journals Publication Model ( https://academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model)

          This article is made available via the PMC Open Access Subset for unrestricted re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the COVID-19 pandemic or until permissions are revoked in writing. Upon expiration of these permissions, PMC is granted a perpetual license to make this article available via PMC and Europe PMC, consistent with existing copyright protections.

          History
          : 09 December 2021
          : 04 April 2022
          : 06 April 2022
          Page count
          Pages: 32
          Categories
          Major Article
          AcademicSubjects/MED00290
          Custom metadata
          accepted-manuscript
          PAP

          Infectious disease & Microbiology
          epidemiology,infectious diseases,post covid-19 condition,pasc,long-covid

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