Observations of the global epidemiology of COVID-19 from the prepandemic period using web-based surveillance: a cross-sectional analysis.


Journal

The Lancet. Infectious diseases
ISSN: 1474-4457
Titre abrégé: Lancet Infect Dis
Pays: United States
ID NLM: 101130150

Informations de publication

Date de publication:
11 2020
Historique:
received: 22 04 2020
revised: 05 06 2020
accepted: 24 06 2020
pubmed: 2 8 2020
medline: 11 11 2020
entrez: 2 8 2020
Statut: ppublish

Résumé

Background Scant data are available about global patterns of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) spread and global epidemiology of early confirmed cases of COVID-19 outside mainland China. We describe the global spread of SARS-CoV-2 and characteristics of COVID-19 cases and clusters before the characterisation of COVID-19 as a pandemic. Cases of COVID-19 reported between Dec 31, 2019, and March 10, 2020 (ie, the prepandemic period), were identified daily from official websites, press releases, press conference transcripts, and social media feeds of national ministries of health or other government agencies. Case characteristics, travel history, and exposures to other cases were abstracted. Countries with at least one case were classified as affected. Early cases were defined as those among the first 100 cases reported from each country. Later cases were defined as those after the first 100 cases. We analysed reported travel to affected countries among the first case reported from each country outside mainland China, demographic and exposure characteristics among cases with age or sex information, and cluster frequencies and sizes by transmission settings. Among the first case reported from each of 99 affected countries outside of mainland China, 75 (76%) had recent travel to affected countries; 60 (61%) had travelled to China, Italy, or Iran. Among 1200 cases with age or sex information, 874 (73%) were early cases. Among 762 early cases with age information, the median age was 51 years (IQR 35-63); 25 (3%) of 762 early cases occurred in children younger than 18 years. Overall, 21 (2%) of 1200 cases were in health-care workers and none were in pregnant women. 101 clusters were identified, of which the most commonly identified transmission setting was households (76 [75%]; mean 2·6 cases per cluster [range 2-7]), followed by non-health-care occupational settings (14 [14%]; mean 4·3 cases per cluster [2-14]), and community gatherings (11 [11%]; mean 14·2 cases per cluster [4-36]). Cases with travel links to China, Italy, or Iran accounted for almost two-thirds of the first reported COVID-19 cases from affected countries. Among cases with age information available, most were among adults aged 18 years and older. Although there were many clusters of household transmission among early cases, clusters in occupational or community settings tended to be larger, supporting a possible role for physical distancing to slow the progression of SARS-CoV-2 spread. None.

Identifiants

pubmed: 32738203
pii: S1473-3099(20)30581-8
doi: 10.1016/S1473-3099(20)30581-8
pmc: PMC7836788
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1255-1262

Informations de copyright

Copyright © 2020 Elsevier Ltd. All rights reserved.

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Auteurs

Fatimah S Dawood (FS)

Centers for Disease Control and Prevention, Atlanta, GA, USA. Electronic address: fdawood@cdc.gov.

Philip Ricks (P)

Centers for Disease Control and Prevention, Atlanta, GA, USA.

Gibril J Njie (GJ)

Centers for Disease Control and Prevention, Atlanta, GA, USA.

Michael Daugherty (M)

Centers for Disease Control and Prevention, Atlanta, GA, USA.

William Davis (W)

Centers for Disease Control and Prevention, Atlanta, GA, USA.

James A Fuller (JA)

Centers for Disease Control and Prevention, Atlanta, GA, USA.

Alison Winstead (A)

Centers for Disease Control and Prevention, Atlanta, GA, USA.

Margaret McCarron (M)

Centers for Disease Control and Prevention, Atlanta, GA, USA.

Lia C Scott (LC)

Centers for Disease Control and Prevention, Atlanta, GA, USA.

Diana Chen (D)

Centers for Disease Control and Prevention, Atlanta, GA, USA.

Amy E Blain (AE)

Centers for Disease Control and Prevention, Atlanta, GA, USA.

Ron Moolenaar (R)

Centers for Disease Control and Prevention, Atlanta, GA, USA.

Chaoyang Li (C)

Centers for Disease Control and Prevention, Atlanta, GA, USA.

Adebola Popoola (A)

Centers for Disease Control and Prevention, Atlanta, GA, USA.

Cynthia Jones (C)

Centers for Disease Control and Prevention, Atlanta, GA, USA.

Puneet Anantharam (P)

Centers for Disease Control and Prevention, Atlanta, GA, USA.

Natalie Olson (N)

Centers for Disease Control and Prevention, Atlanta, GA, USA.

Barbara J Marston (BJ)

Centers for Disease Control and Prevention, Atlanta, GA, USA.

Sarah D Bennett (SD)

Centers for Disease Control and Prevention, Atlanta, GA, USA.

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Classifications MeSH