Estimating the effects of non-pharmaceutical interventions on COVID-19 in Europe.


Journal

Nature
ISSN: 1476-4687
Titre abrégé: Nature
Pays: England
ID NLM: 0410462

Informations de publication

Date de publication:
08 2020
Historique:
received: 30 03 2020
accepted: 22 05 2020
pubmed: 9 6 2020
medline: 25 8 2020
entrez: 9 6 2020
Statut: ppublish

Résumé

Following the detection of the new coronavirus

Identifiants

pubmed: 32512579
doi: 10.1038/s41586-020-2405-7
pii: 10.1038/s41586-020-2405-7
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

257-261

Subventions

Organisme : Wellcome Trust
ID : 200861/Z/16/Z
Pays : United Kingdom
Organisme : Medical Research Council
ID : MC_PC_19012
Pays : United Kingdom
Organisme : Medical Research Council
ID : MR/J008761/1
Pays : United Kingdom
Organisme : Medical Research Council
ID : MR/R015600/1
Pays : United Kingdom

Investigateurs

Pablo N Perez-Guzman (PN)
Nora Schmit (N)
Lucia Cilloni (L)
Kylie E C Ainslie (KEC)
Marc Baguelin (M)
Adhiratha Boonyasiri (A)
Olivia Boyd (O)
Lorenzo Cattarino (L)
Laura V Cooper (LV)
Zulma Cucunubá (Z)
Gina Cuomo-Dannenburg (G)
Amy Dighe (A)
Bimandra Djaafara (B)
Ilaria Dorigatti (I)
Sabine L van Elsland (SL)
Richard G FitzJohn (RG)
Katy A M Gaythorpe (KAM)
Lily Geidelberg (L)
Nicholas C Grassly (NC)
William D Green (WD)
Timothy Hallett (T)
Arran Hamlet (A)
Wes Hinsley (W)
Ben Jeffrey (B)
Edward Knock (E)
Daniel J Laydon (DJ)
Gemma Nedjati-Gilani (G)
Pierre Nouvellet (P)
Kris V Parag (KV)
Igor Siveroni (I)
Hayley A Thompson (HA)
Robert Verity (R)
Erik Volz (E)
Caroline E Walters (CE)
Haowei Wang (H)
Yuanrong Wang (Y)
Oliver J Watson (OJ)
Peter Winskill (P)
Xiaoyue Xi (X)
Patrick G T Walker (PGT)

Commentaires et corrections

Type : CommentIn
Type : CommentIn

Références

Li, R. et al. Substantial undocumented infection facilitates the rapid dissemination of novel coronavirus (SARS-CoV-2). Science 368, 489–493 (2020).
doi: 10.1126/science.abb3221
Zhang, J. et al. Patterns of human social contact and contact with animals in Shanghai, China. Sci. Rep. 9, 15141 (2019).
doi: 10.1038/s41598-019-51609-8
Zhao, A. J. et al. Antibody responses to SARS-CoV-2 in patients of novel coronavirus disease 2019. Clin. Infect. Dis. ciaa344 https://doi.org/10.1093/cid/ciaa344 (2020).
Jombart, T. et al. Inferring the number of COVID-19 cases from recently reported deaths. Wellcome Open Research 5, 78 (2020).
doi: 10.12688/wellcomeopenres.15786.1
Verity, R. et al. Estimates of the severity of coronavirus disease 2019: a model-based analysis. Lancet 20, 669–677 (2020).
doi: 10.1016/S1473-3099(20)30243-7
Bi, Q. et al. Epidemiology and transmission of COVID-19 in 391 cases and 1286 of their close contacts in Shenzhen, China: a retrospective cohort study. Lancet Infect. Dis.  https://doi.org/10.1016/S1473-3099(20)30287-5 (2020).
doi: 10.1016/S1473-3099(20)30287-5 pubmed: 32353347 pmcid: 32353347
Bobrovitz, N. et al. Lessons from a rapid systematic review of early SARS-CoV-2 serosurveys. Preprint at medRxiv https://doi.org/10.1101/2020.05.10.20097451 (2020).
Statistics Austria. COVID-19 Prevalence Study: Maximum 0.15% of Austrian Population Infected with SARS-CoV-2 (Statistics Austria, 2020).
Erikstrup, C. et al. Estimation of SARS-CoV-2 infection fatality rate by real-time antibody screening of blood donors. Clin. Infect. Dis. ciaa849  https://doi.org/10.1093/cid/ciaa849 (2020).
Pollán, M. et al. Prevalence of SARS-CoV-2 in Spain (ENE-COVID): a nationwide, population-based seroepidemiological study. Lancet  https://doi.org/10.1016/S0140-6736(20)31483-5 (2020).
Zhang, J. et al. Age profile of susceptibility, mixing, and social distancing shape the dynamics of the novel coronavirus disease 2019 outbreak in China. Preprint at medRxiv https://doi.org/10.1101/2020.03.19.20039107  (2020).
Salje, H. et al. Estimating the burden of SARS-CoV-2 in France. Science 369, 208–211 (2020).
Hyafil, A. & Morina, D. Analysis of the impact of lockdown on the reproduction number of the SARS-Cov-2 in Spain. Gac. Sanit. https://doi.org/10.1016/j.gaceta.2020.05.003 (2020).
Robert Koch Institute. Coronavirus Disease 2019 (COVID-19) Daily Situation Report of the Robert Koch Institute (Robert Koch Institute, 2020).
Davies, N. G., Kucharski, A. J., Eggo, R. M., Gimma, A. & Edmunds, W. J. The effect of non-pharmaceutical interventions on COVID-19 cases, deaths and demand for hospital services in the UK: a modelling study. Lancet 5, E375–E385 (2020).
pubmed: 32502389 pmcid: 32502389
Gelman, A. & Hill, J. Data Analysis using Regression and Multilevel/Hierarchical Models (Cambridge Univ. Press, 2006).
Miller, J. C. A note on the derivation of epidemic final sizes. Bull. Math. Biol. 74, 2125–2141 (2012).
doi: 10.1007/s11538-012-9749-6
United Nations, Department of Economic and Social Affairs, Population Division. World Population Prospects 2019: Data Booklet, ST/ESA/SER.A/424. (United Nations, 2019).
Cori, A., Ferguson, N. M., Fraser, C. & Cauchemez, S. A new framework and software to estimate time-varying reproduction numbers during epidemics. Am. J. Epidemiol. 178, 1505–1512 (2013).
doi: 10.1093/aje/kwt133
Goldstein, E. et al. Reconstructing influenza incidence by deconvolution of daily mortality time series. Proc. Natl Acad. Sci. USA 106, 21825–21829 (2009).
doi: 10.1073/pnas.0902958106

Auteurs

Seth Flaxman (S)

Department of Mathematics, Imperial College London, London, UK.

Swapnil Mishra (S)

MRC Centre for Global Infectious Disease Analysis, Jameel Institute for Disease and Emergency Analytics, Imperial College London, London, UK.

Axel Gandy (A)

Department of Mathematics, Imperial College London, London, UK.

H Juliette T Unwin (HJT)

MRC Centre for Global Infectious Disease Analysis, Jameel Institute for Disease and Emergency Analytics, Imperial College London, London, UK.

Thomas A Mellan (TA)

MRC Centre for Global Infectious Disease Analysis, Jameel Institute for Disease and Emergency Analytics, Imperial College London, London, UK.

Helen Coupland (H)

MRC Centre for Global Infectious Disease Analysis, Jameel Institute for Disease and Emergency Analytics, Imperial College London, London, UK.

Charles Whittaker (C)

MRC Centre for Global Infectious Disease Analysis, Jameel Institute for Disease and Emergency Analytics, Imperial College London, London, UK.

Harrison Zhu (H)

Department of Mathematics, Imperial College London, London, UK.

Tresnia Berah (T)

Department of Mathematics, Imperial College London, London, UK.

Jeffrey W Eaton (JW)

MRC Centre for Global Infectious Disease Analysis, Jameel Institute for Disease and Emergency Analytics, Imperial College London, London, UK.

Mélodie Monod (M)

Department of Mathematics, Imperial College London, London, UK.

Azra C Ghani (AC)

MRC Centre for Global Infectious Disease Analysis, Jameel Institute for Disease and Emergency Analytics, Imperial College London, London, UK.

Christl A Donnelly (CA)

MRC Centre for Global Infectious Disease Analysis, Jameel Institute for Disease and Emergency Analytics, Imperial College London, London, UK.
Department of Statistics, University of Oxford, Oxford, UK.

Steven Riley (S)

MRC Centre for Global Infectious Disease Analysis, Jameel Institute for Disease and Emergency Analytics, Imperial College London, London, UK.

Michaela A C Vollmer (MAC)

MRC Centre for Global Infectious Disease Analysis, Jameel Institute for Disease and Emergency Analytics, Imperial College London, London, UK.

Neil M Ferguson (NM)

MRC Centre for Global Infectious Disease Analysis, Jameel Institute for Disease and Emergency Analytics, Imperial College London, London, UK.

Lucy C Okell (LC)

MRC Centre for Global Infectious Disease Analysis, Jameel Institute for Disease and Emergency Analytics, Imperial College London, London, UK.

Samir Bhatt (S)

MRC Centre for Global Infectious Disease Analysis, Jameel Institute for Disease and Emergency Analytics, Imperial College London, London, UK. s.bhatt@imperial.ac.uk.

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Classifications MeSH