Epidemiological and clinical characteristics of a familial cluster of COVID-19.


Journal

Epidemiology and infection
ISSN: 1469-4409
Titre abrégé: Epidemiol Infect
Pays: England
ID NLM: 8703737

Informations de publication

Date de publication:
07 07 2020
Historique:
pubmed: 8 7 2020
medline: 22 7 2020
entrez: 8 7 2020
Statut: epublish

Résumé

We report a family cluster of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection involving five patients in a family cluster in Dazhou, China, including the epidemiological, clinical, laboratory and radiological findings. Three-generation transmission was observed. Through epidemiological investigation, we observed asymptomatic transmission to a cohabiting family member, as well as person-to-person transmission of SARS-CoV-2 outside Wuhan city. The asymptomatic transmission demonstrated here provides evidence that there could be a greater risk of Coronavirus Disease 2019 (COVID-19) spread. This cluster also demonstrated that COVID-19 is transmissible during the incubation period of an asymptomatic person. Early isolation and treatment, stressing prevention of cluster outbreaks, could help prevent further spread of the epidemic.

Identifiants

pubmed: 32631470
doi: 10.1017/S0950268820001521
pii: S0950268820001521
pmc: PMC7369338
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e145

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Auteurs

Yong Sun (Y)

Department of Endocrinology and Metabolism, Dazhou Central Hopsital, Dazhou, Sichuan, China.

Lin Tian (L)

Department of Intensive Care Unit, Dazhou Central Hospital, Dazhou, Sichuan, China.

Xiaomei Du (X)

Department of Endocrinology and Metabolism, Dazhou Central Hopsital, Dazhou, Sichuan, China.

Hua Wang (H)

Department of Endocrinology and Metabolism, Dazhou Central Hopsital, Dazhou, Sichuan, China.

Yueshan Li (Y)

Department of Endocrinology and Metabolism, Dazhou Central Hopsital, Dazhou, Sichuan, China.

Rangbing Wu (R)

Department of Endocrinology and Metabolism, Dazhou Central Hopsital, Dazhou, Sichuan, China.

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Classifications MeSH