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Estimating the number of undetected COVID-19 cases among travellers from mainland China [version 2; peer review: 1 approved, 2 approved with reservations]

Authors :
Sangeeta Bhatia
Natsuko Imai
Gina Cuomo-Dannenburg
Marc Baguelin
Adhiratha Boonyasiri
Anne Cori
Zulma Cucunubá
Ilaria Dorigatti
Rich FitzJohn
Han Fu
Katy Gaythorpe
Azra Ghani
Arran Hamlet
Wes Hinsley
Daniel Laydon
Gemma Nedjati-Gilani
Lucy Okell
Steven Riley
Hayley Thompson
Sabine van Elsland
Erik Volz
Haowei Wang
Yuanrong Wang
Charles Whittaker
Xiaoyue Xi
Christl A. Donnelly
Neil M. Ferguson
Source :
Wellcome Open Research, Vol 5 (2021)
Publication Year :
2021
Publisher :
Wellcome, 2021.

Abstract

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.

Subjects

Subjects :
Medicine
Science

Details

Language :
English
ISSN :
2398502X
Volume :
5
Database :
Directory of Open Access Journals
Journal :
Wellcome Open Research
Publication Type :
Academic Journal
Accession number :
edsdoj.4ea53ccf2b84c90a1996cb8bf676f44
Document Type :
article
Full Text :
https://doi.org/10.12688/wellcomeopenres.15805.2