Inferring the number of COVID-19 cases from recently reported deaths.

SARS-CoV-2 covid-19 epidemics estimation modelling outbreak statistics

Journal

Wellcome open research
ISSN: 2398-502X
Titre abrégé: Wellcome Open Res
Pays: England
ID NLM: 101696457

Informations de publication

Date de publication:
2020
Historique:
accepted: 30 03 2020
entrez: 11 6 2020
pubmed: 11 6 2020
medline: 11 6 2020
Statut: epublish

Résumé

We estimate the number of COVID-19 cases from newly reported deaths in a population without previous reports. Our results suggest that by the time a single death occurs, hundreds to thousands of cases are likely to be present in that population. This suggests containment via contact tracing will be challenging at this point, and other response strategies should be considered. Our approach is implemented in a publicly available, user-friendly, online tool.

Identifiants

pubmed: 32518842
doi: 10.12688/wellcomeopenres.15786.1
pmc: PMC7255910
doi:

Types de publication

Journal Article

Langues

eng

Pagination

78

Subventions

Organisme : Wellcome Trust
Pays : United Kingdom
Organisme : Medical Research Council
ID : MC_PC_19012
Pays : United Kingdom
Organisme : Medical Research Council
ID : MR/R015600/1
Pays : United Kingdom

Commentaires et corrections

Type : UpdateOf

Informations de copyright

Copyright: © 2020 Jombart T et al.

Déclaration de conflit d'intérêts

No competing interests were disclosed.

Références

Euro Surveill. 2020 Feb;25(6):
pubmed: 32070465
Euro Surveill. 2020 Jan;25(4):
pubmed: 32019669
Ann Intern Med. 2020 May 5;172(9):577-582
pubmed: 32150748
Epidemics. 2018 Mar;22:29-35
pubmed: 28351674
J Clin Med. 2020 Feb 17;9(2):
pubmed: 32079150
Euro Surveill. 2020 Jan;25(2):
pubmed: 31964460

Auteurs

Thibaut Jombart (T)

Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK.
UK Public Health Rapid Support Team, London, UK.
MRC Centre for Global Infectious Disease Analysis, Imperial College London, London, UK.

Kevin van Zandvoort (K)

Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK.

Timothy W Russell (TW)

Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK.

Christopher I Jarvis (CI)

Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK.

Amy Gimma (A)

Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK.

Sam Abbott (S)

Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK.

Sam Clifford (S)

Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK.

Sebastian Funk (S)

Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK.

Hamish Gibbs (H)

Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK.

Yang Liu (Y)

Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK.

Carl A B Pearson (CAB)

Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK.
South African Centre for Epidemiological Modelling and Analysis, Stellenbosch University, Stellenbosch, South Africa.

Nikos I Bosse (NI)

Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK.

Rosalind M Eggo (RM)

Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK.

Adam J Kucharski (AJ)

Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK.

W John Edmunds (WJ)

Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK.

Classifications MeSH