Asymptomatic SARS-CoV-2 infection: A systematic review and meta-analysis
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- Pratha Sah
- Center for Infectious Disease Modeling and Analysis, Yale School of Public Health, New Haven, CT 06520;
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- Meagan C. Fitzpatrick
- Center for Infectious Disease Modeling and Analysis, Yale School of Public Health, New Haven, CT 06520;
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- Charlotte F. Zimmer
- Center for Infectious Disease Modeling and Analysis, Yale School of Public Health, New Haven, CT 06520;
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- Elaheh Abdollahi
- Agent-Based Modelling Laboratory, York University, Toronto, ON M3J 1P3, Canada;
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- Lyndon Juden-Kelly
- Agent-Based Modelling Laboratory, York University, Toronto, ON M3J 1P3, Canada;
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- Seyed M. Moghadas
- Agent-Based Modelling Laboratory, York University, Toronto, ON M3J 1P3, Canada;
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- Burton H. Singer
- Emerging Pathogens Institute, University of Florida, Gainesville, FL 32610
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- Alison P. Galvani
- Center for Infectious Disease Modeling and Analysis, Yale School of Public Health, New Haven, CT 06520;
Description
<jats:title>Significance</jats:title><jats:p>Asymptomatic infections have been widely reported for COVID-19. However, many studies do not distinguish between the presymptomatic stage and truly asymptomatic infections. We conducted a systematic review and meta-analysis of COVID-19 literature reporting laboratory-confirmed infections to determine the burden of asymptomatic infections and removed index cases from our calculations to avoid conflation. By analyzing over 350 papers, we estimated that more than one-third of infections are truly asymptomatic. We found evidence of greater asymptomaticity in children compared with the elderly, and lower asymptomaticity among cases with comorbidities compared to cases with no underlying medical conditions. Greater asymptomaticity at younger ages suggests that heightened vigilance is needed among these individuals, to prevent spillover into the broader community.</jats:p>
Journal
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- Proceedings of the National Academy of Sciences
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Proceedings of the National Academy of Sciences 118 (34), 2021-08-10
Proceedings of the National Academy of Sciences
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Details 詳細情報について
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- CRID
- 1363388843603230208
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- ISSN
- 10916490
- 00278424
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- Data Source
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- Crossref