Estimating internationally imported cases during the early COVID-19 pandemic.


Journal

Nature communications
ISSN: 2041-1723
Titre abrégé: Nat Commun
Pays: England
ID NLM: 101528555

Informations de publication

Date de publication:
12 01 2021
Historique:
received: 20 07 2020
accepted: 13 11 2020
entrez: 13 1 2021
pubmed: 14 1 2021
medline: 20 1 2021
Statut: epublish

Résumé

Early in the COVID-19 pandemic, predictions of international outbreaks were largely based on imported cases from Wuhan, China, potentially missing imports from other cities. We provide a method, combining daily COVID-19 prevalence and flight passenger volume, to estimate importations from 18 Chinese cities to 43 international destinations, including 26 in Africa. Global case importations from China in early January came primarily from Wuhan, but the inferred source shifted to other cities in mid-February, especially for importations to African destinations. We estimate that 10.4 (6.2 - 27.1) COVID-19 cases were imported to these African destinations, which exhibited marked variation in their magnitude and main sources of importation. We estimate that 90% of imported cases arrived between 17 January and 7 February, prior to the first case detections. Our results highlight the dynamic role of source locations, which can help focus surveillance and response efforts.

Identifiants

pubmed: 33436574
doi: 10.1038/s41467-020-20219-8
pii: 10.1038/s41467-020-20219-8
pmc: PMC7804934
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

311

Subventions

Organisme : NIGMS NIH HHS
ID : U54 GM088558
Pays : United States

Commentaires et corrections

Type : UpdateOf

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Auteurs

Tigist F Menkir (TF)

Center for Communicable Disease Dynamics, Department of Epidemiology, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA.

Taylor Chin (T)

Center for Communicable Disease Dynamics, Department of Epidemiology, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA.

James A Hay (JA)

Center for Communicable Disease Dynamics, Department of Epidemiology, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA.

Erik D Surface (ED)

Center for Communicable Disease Dynamics, Department of Epidemiology, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA.

Pablo M De Salazar (PM)

Center for Communicable Disease Dynamics, Department of Epidemiology, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA.

Caroline O Buckee (CO)

Center for Communicable Disease Dynamics, Department of Epidemiology, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA.

Alexander Watts (A)

BlueDot, Toronto, ON, Canada.

Kamran Khan (K)

BlueDot, Toronto, ON, Canada.
Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, ON, Canada.
Department of Medicine, Division of Infectious Diseases, University of Toronto, Toronto, ON, Canada.

Ryan Sherbo (R)

BlueDot, Toronto, ON, Canada.

Ada W C Yan (AWC)

Section of Immunology of Infection, Department of Infectious Disease, Imperial College London, London, UK.

Michael J Mina (MJ)

Center for Communicable Disease Dynamics, Department of Epidemiology, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA.

Marc Lipsitch (M)

Center for Communicable Disease Dynamics, Department of Epidemiology, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA.

Rene Niehus (R)

Center for Communicable Disease Dynamics, Department of Epidemiology, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA. rniehus@hsph.harvard.edu.

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Classifications MeSH