Novel coronavirus 2019-nCoV (COVID-19): early estimation of epidemiological parameters and epidemic size estimates
Top Cited Papers
Open Access
- 31 May 2021
- journal article
- research article
- Published by The Royal Society in Philosophical Transactions Of The Royal Society B-Biological Sciences
- Vol. 376 (1829) , 20200265
- https://doi.org/10.1098/rstb.2020.0265
Abstract
Since it was first identified, the epidemic scale of the recently emerged novel coronavirus (2019-nCoV) in Wuhan, China, has increased rapidly, with cases arising across China and other countries and regions. Using a transmission model, we estimate a basic reproductive number of 3.11 (95% CI, 2.39–4.13), indicating that 58–76% of transmissions must be prevented to stop increasing. We also estimate a case ascertainment rate in Wuhan of 5.0% (95% CI, 3.6–7.4). The true size of the epidemic may be significantly greater than the published case counts suggest, with our model estimating 21 022 (prediction interval, 11 090–33 490) total infections in Wuhan between 1 and 22 January. We discuss our findings in the light of more recent information. This article is part of the theme issue ‘Modelling that shaped the early COVID-19 pandemic response in the UK’.Keywords
All Related Versions
Funding Information
- Faculty of Health and Life Sciences, Lancaster University (Studentship)
- Wellcome Trust (UNS73114)
- Medical Research Council (MR/5004793/1, MR/V038613/1)
- Engineering and Physical Sciences Research Council (EP/N014499/1)
This publication has 27 references indexed in Scilit:
- Pattern of early human-to-human transmission of Wuhan 2019-nCoVbioRxiv, 2020
- A familial cluster of pneumonia associated with the 2019 novel coronavirus indicating person-to-person transmission: a study of a family clusterPublished by Elsevier ,2020
- Pneumonia of unknown aetiology in Wuhan, China: potential for international spread via commercial air travelJournal of Travel Medicine, 2020
- Unraveling the drivers of MERS-CoV transmissionProceedings of the National Academy of Sciences, 2016
- Avoidable errors in the modelling of outbreaks of emerging pathogens, with special reference to EbolaProceedings Of The Royal Society B-Biological Sciences, 2015
- Incubation periods of acute respiratory viral infections: a systematic reviewThe Lancet Infectious Diseases, 2009
- Dynamically Modeling SARS and Other Newly Emerging Respiratory IllnessesEpidemiology, 2005
- Model Parameters and Outbreak Control for SARSEmerging Infectious Diseases, 2004
- The crystal structures of severe acute respiratory syndrome virus main protease and its complex with an inhibitorProceedings of the National Academy of Sciences, 2003
- Transmission Dynamics and Control of Severe Acute Respiratory SyndromeScience, 2003