Identifying Locations with Possible Undetected Imported Severe Acute Respiratory Syndrome Coronavirus 2 Cases by Using Importation Predictions.
2019 novel coronavirus disease
COVID-19
SARS-CoV-2
coronavirus
outbreak
pneumonia
respiratory infections
severe acute respiratory syndrome coronavirus 2
travelers health
viruses
zoonoses
Journal
Emerging infectious diseases
ISSN: 1080-6059
Titre abrégé: Emerg Infect Dis
Pays: United States
ID NLM: 9508155
Informations de publication
Date de publication:
07 2020
07 2020
Historique:
pubmed:
25
3
2020
medline:
1
7
2020
entrez:
25
3
2020
Statut:
ppublish
Résumé
Cases of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection exported from mainland China could lead to self-sustained outbreaks in other countries. By February 2020, several countries were reporting imported SARS-CoV-2 cases. To contain the virus, early detection of imported SARS-CoV-2 cases is critical. We used air travel volume estimates from Wuhan, China, to international destinations and a generalized linear regression model to identify locations that could have undetected imported cases. Our model can be adjusted to account for exportation of cases from other locations as the virus spreads and more information on importations and transmission becomes available. Early detection and appropriate control measures can reduce the risk for transmission in all locations.
Identifiants
pubmed: 32207679
doi: 10.3201/eid2607.200250
pmc: PMC7323530
doi:
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Langues
eng
Sous-ensembles de citation
IM
Pagination
1465-1469Subventions
Organisme : NIGMS NIH HHS
ID : R35 GM124715
Pays : United States
Organisme : NIGMS NIH HHS
ID : U54 GM088558
Pays : United States
Commentaires et corrections
Type : UpdateOf
Références
Lancet. 2020 Feb 29;395(10225):689-697
pubmed: 32014114
Nature. 2020 Mar;579(7798):270-273
pubmed: 32015507