Literature DB >> 34632083

Estimating the number of undetected COVID-19 cases among travellers from mainland China.

Sangeeta Bhatia1, Natsuko Imai1, Gina Cuomo-Dannenburg1, Marc Baguelin1, Adhiratha Boonyasiri1, Anne Cori1, Zulma Cucunubá1, Ilaria Dorigatti1, Rich FitzJohn1, Han Fu1, Katy Gaythorpe1, Azra Ghani1, Arran Hamlet1, Wes Hinsley1, Daniel Laydon1, Gemma Nedjati-Gilani1, Lucy Okell1, Steven Riley1, Hayley Thompson1, Sabine van Elsland1, Erik Volz1, Haowei Wang1, Yuanrong Wang1, Charles Whittaker1, Xiaoyue Xi1, Christl A Donnelly1,2, Neil M Ferguson1.   

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. Copyright:
© 2021 Bhatia S et al.

Entities:  

Keywords:  COVID-19; Epidemiology; SARS-CoV-2; international; novel coronavirus

Year:  2021        PMID: 34632083      PMCID: PMC8477353.3          DOI: 10.12688/wellcomeopenres.15805.3

Source DB:  PubMed          Journal:  Wellcome Open Res        ISSN: 2398-502X


  3 in total

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Journal:  Sci Rep       Date:  2022-06-09       Impact factor: 4.996

2.  Rapid assessment of the risk of SARS-CoV-2 importation: case study and lessons learned.

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  3 in total

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