4.6 Article

Novel coronavirus 2019-nCoV (COVID-19): early estimation of epidemiological parameters and epidemic size estimates

Publisher

ROYAL SOC
DOI: 10.1098/rstb.2020.0265

Keywords

SARS-CoV-2; transmission model; pandemic; ascertainment rate; China; international travel

Categories

Funding

  1. Medical Research Council [MR/5004793/1, MR/V038613/1]
  2. UKRI through the JUNIPER modelling consortium [MR/V038613/1]
  3. Engineering and Physical Sciences Research Council [EP/N014499/1]
  4. Faculty of Health and Medicine, Lancaster University
  5. Wellcome
  6. EPSRC [EP/N014499/1, EP/R018561/1] Funding Source: UKRI

Ask authors/readers for more resources

The COVID-19 epidemic caused by the novel coronavirus in Wuhan, China, has rapidly escalated, with a basic reproductive number estimated at 3.11, indicating a need to prevent a substantial portion of transmissions to halt the spread. The case ascertainment rate in Wuhan is 5.0%, and the true size of the epidemic may be significantly larger than reported.
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'.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.6
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available