BibTex format
@article{Bhatia:2020:10.12688/wellcomeopenres.15805.2,
author = {Bhatia, S and Imai, N and Cuomo-Dannenburg, G and Baguelin, M and Boonyasiri, A and Cori, A and Cucunubá, Z and Dorigatti, I and FitzJohn, R and Fu, H and Gaythorpe, K and Ghani, A and Hamlet, A and Hinsley, W and Laydon, D and Nedjati-Gilani, G and Okell, L and Riley, S and Thompson, H and van, Elsland S and Volz, E and Wang, H and Wang, Y and Whittaker, C and Xi, X and Donnelly, CA and Ferguson, NM},
doi = {10.12688/wellcomeopenres.15805.2},
journal = {Wellcome open research},
pages = {143--143},
title = {Estimating the number of undetected COVID-19 cases among travellers from mainland China.},
url = {http://dx.doi.org/10.12688/wellcomeopenres.15805.2},
volume = {5},
year = {2020}
}
RIS format (EndNote, RefMan)
TY - JOUR
AB - Background: As of August 2021, every region of the world has been affected by the COVID-19 pandemic, with more than 196,000,000 cases worldwide.Methods: We analysed COVID-19 cases among travellers from mainland China to different regions and countries, comparing the region- and country-specific rates of detected and confirmed cases per flight volume to estimate the relative sensitivity of surveillance in different regions and countries.Results: Although travel restrictions from Wuhan City and other cities across China may have reduced the absolute number of travellers to and from China, we estimated that up to 70% (95% CI: 54% - 80%) of imported cases could remain undetected relative to the sensitivity of surveillance in Singapore. The percentage of undetected imported cases rises to 75% (95% CI 66% - 82%) when comparing to the surveillance sensitivity in multiple countries.Conclusions: Our analysis shows that a large number of COVID-19 cases remain undetected across the world. These undetected cases potentially resulted in multiple chains of human-to-human transmission outside mainland China.
AU - Bhatia,S
AU - Imai,N
AU - Cuomo-Dannenburg,G
AU - Baguelin,M
AU - Boonyasiri,A
AU - Cori,A
AU - Cucunubá,Z
AU - Dorigatti,I
AU - FitzJohn,R
AU - Fu,H
AU - Gaythorpe,K
AU - Ghani,A
AU - Hamlet,A
AU - Hinsley,W
AU - Laydon,D
AU - Nedjati-Gilani,G
AU - Okell,L
AU - Riley,S
AU - Thompson,H
AU - van,Elsland S
AU - Volz,E
AU - Wang,H
AU - Wang,Y
AU - Whittaker,C
AU - Xi,X
AU - Donnelly,CA
AU - Ferguson,NM
DO - 10.12688/wellcomeopenres.15805.2
EP - 143
PY - 2020///
SN - 2398-502X
SP - 143
TI - Estimating the number of undetected COVID-19 cases among travellers from mainland China.
T2 - Wellcome open research
UR - http://dx.doi.org/10.12688/wellcomeopenres.15805.2
UR - https://wellcomeopenresearch.org/articles/5-143
VL - 5
ER -
