Using predicted imports of 2019-nCoV cases to determine locations that may not be identifying all imported cases.
coronavirus
outbreak
pneumonia
travel
Journal
medRxiv : the preprint server for health sciences
Titre abrégé: medRxiv
Pays: United States
ID NLM: 101767986
Informations de publication
Date de publication:
11 Feb 2020
11 Feb 2020
Historique:
entrez:
9
6
2020
pubmed:
9
6
2020
medline:
9
6
2020
Statut:
epublish
Résumé
Cases from the ongoing outbreak of atypical pneumonia caused by the 2019 novel coronavirus (2019-nCoV) exported from mainland China can lead to self-sustained outbreaks in other populations. Internationally imported cases are currently being reported in several different locations. Early detection of imported cases is critical for containment of the virus. Based on air travel volume estimates from Wuhan to international destinations and using a generalized linear regression model we identify locations which may potentially have undetected internationally imported cases.
Identifiants
pubmed: 32511458
doi: 10.1101/2020.02.04.20020495
pmc: PMC7239086
pii:
doi:
Types de publication
Preprint
Langues
eng
Subventions
Organisme : NIGMS NIH HHS
ID : R35 GM124715
Pays : United States
Organisme : NIGMS NIH HHS
ID : U54 GM088558
Pays : United States
Commentaires et corrections
Type : UpdateIn
Références
Lancet. 2020 Feb 29;395(10225):689-697
pubmed: 32014114