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Comprehensive estimation for the length and dispersion of COVID-19 incubation period: a systematic review and meta-analysis.

Comprehensive estimation for the length and dispersion of COVID-19 incubation period: a systematic review and meta-analysis.

Authors :
Wei Y
Wei L
Liu Y
Huang L
Shen S
Zhang R
Chen J
Zhao Y
Shen H
Chen F
Source :
Infection [Infection] 2022 Aug; Vol. 50 (4), pp. 803-813. Date of Electronic Publication: 2021 Aug 18.
Publication Year :
2022

Abstract

Purpose: To estimate the central tendency and dispersion for incubation period of COVID-19 and, in turn, assess the effect of a certain length of quarantine for close contacts in active monitoring.<br />Methods: Literature related to SARS-CoV-2 and COVID-19 was searched through April 26, 2020. Quality was assessed according to Agency for Healthcare Research and Quality guidelines. Log-normal distribution for the incubation period was assumed to estimate the parameters for each study. Incubation period median and dispersion were estimated, and distribution was simulated.<br />Results: Fifty-six studies encompassing 4095 cases were included in this meta-analysis. The estimated median incubation period for general transmissions was 5.8 days [95% confidence interval (95% CI): 5.3, 6.2]. Incubation period was significantly longer for asymptomatic transmissions (median: 7.7 days; 95% CI 6.3, 9.4) than for general transmissions (Pā€‰=ā€‰0.0408). Median and dispersion were higher for SARS-CoV-2 incubation compared to other viral respiratory infections. Furthermore, about 12 in 10,000 contacts in active monitoring would develop symptoms after 14 days, or below 1 in 10,000 for asymptomatic transmissions. Meta-regression suggested that each 10-year increase in age resulted in an average 16% increment in length of median incubation (incubation period ratio, 1.16, 95% CI 1.01, 1.32; Pā€‰=ā€‰0.0250).<br />Conclusion: This study estimated the median and dispersion of the SARS-CoV-2 incubation period more precisely. A 14-day quarantine period is sufficient to trace and identify symptomatic infections.<br /> (© 2021. Springer-Verlag GmbH Germany, part of Springer Nature.)

Details

Language :
English
ISSN :
1439-0973
Volume :
50
Issue :
4
Database :
MEDLINE
Journal :
Infection
Publication Type :
Academic Journal
Accession number :
34409563
Full Text :
https://doi.org/10.1007/s15010-021-01682-x