[Incubation period of COVID-19: A systematic review and meta-analysis].

Período de incubación de la COVID-19: revisión sistemática y metaanálisis.
Coronavirus Infectious disease incubation period Public health

Journal

Revista clinica espanola
ISSN: 2254-8874
Titre abrégé: Rev Clin Esp (Barc)
Pays: Spain
ID NLM: 101632437

Informations de publication

Date de publication:
Feb 2021
Historique:
received: 24 06 2020
accepted: 17 08 2020
pubmed: 8 10 2020
medline: 8 10 2020
entrez: 7 10 2020
Statut: ppublish

Résumé

The incubation period of COVID-19 helps to determine the optimal duration of the quarantine and inform predictive models of incidence curves. Several emerging studies have produced varying results; this systematic review aims to provide a more accurate estimate of the incubation period of COVID-19. For this systematic review, a literature search was conducted using Pubmed, Scopus/EMBASE, and the Cochrane Library databases, covering all observational and experimental studies reporting the incubation period and published from 1 January 2020 to 21 March 2020.We estimated the mean and 95th percentile of the incubation period using meta-analysis, taking into account between-study heterogeneity, and the analysis with moderator variables. We included seven studies (n = 792) in the meta-analysis. The heterogeneity (I Based on the published data reporting the incubation period of COVID-19, the mean time between exposure and onset of clinical symptoms depended on the statistical model used, and the 95th percentile depended on the mean age of the patients. It is advisable to record sex and age when collecting data in order to analyze possible differential patterns.

Sections du résumé

BACKGROUND AND OBJECTIVE OBJECTIVE
The incubation period of COVID-19 helps to determine the optimal duration of the quarantine and inform predictive models of incidence curves. Several emerging studies have produced varying results; this systematic review aims to provide a more accurate estimate of the incubation period of COVID-19.
METHODS METHODS
For this systematic review, a literature search was conducted using Pubmed, Scopus/EMBASE, and the Cochrane Library databases, covering all observational and experimental studies reporting the incubation period and published from 1 January 2020 to 21 March 2020.We estimated the mean and 95th percentile of the incubation period using meta-analysis, taking into account between-study heterogeneity, and the analysis with moderator variables.
RESULTS RESULTS
We included seven studies (n = 792) in the meta-analysis. The heterogeneity (I
CONCLUSION CONCLUSIONS
Based on the published data reporting the incubation period of COVID-19, the mean time between exposure and onset of clinical symptoms depended on the statistical model used, and the 95th percentile depended on the mean age of the patients. It is advisable to record sex and age when collecting data in order to analyze possible differential patterns.

Identifiants

pubmed: 33024342
doi: 10.1016/j.rce.2020.08.005
pii: S0014-2565(20)30240-X
pmc: PMC7528969
doi:

Types de publication

English Abstract Journal Article Review

Langues

spa

Pagination

109-117

Informations de copyright

© 2020 Elsevier España, S.L.U. and Sociedad Española de Medicina Interna (SEMI). All rights reserved.

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Auteurs

J A Quesada (JA)

Departamento de Medicina Clínica, Universidad Miguel Hernández de Elche, San Juan de Alicante, España.

A López-Pineda (A)

Departamento de Medicina Clínica, Universidad Miguel Hernández de Elche, San Juan de Alicante, España.

V F Gil-Guillén (VF)

Departamento de Medicina Clínica, Universidad Miguel Hernández de Elche, San Juan de Alicante, España.

J M Arriero-Marín (JM)

Departamento de Neumología, Universidad Hospital de San Juan de Alicante, San Juan de Alicante, España.

F Gutiérrez (F)

Departamento de Medicina Clínica, Universidad Miguel Hernández de Elche, San Juan de Alicante, España.
Departamento de Enfermedades Infecciosas, Universidad Hospital de Elche, Elche, España.

C Carratala-Munuera (C)

Departamento de Medicina Clínica, Universidad Miguel Hernández de Elche, San Juan de Alicante, España.

Classifications MeSH