Challenges in control of COVID-19: short doubling time and long delay to effect of interventions.

early growth rate incubation period non-pharmaceutical interventions onset-to-hospitalization delay reproduction number unconstrained epidemic

Journal

Philosophical transactions of the Royal Society of London. Series B, Biological sciences
ISSN: 1471-2970
Titre abrégé: Philos Trans R Soc Lond B Biol Sci
Pays: England
ID NLM: 7503623

Informations de publication

Date de publication:
19 07 2021
Historique:
entrez: 31 5 2021
pubmed: 1 6 2021
medline: 11 6 2021
Statut: ppublish

Résumé

Early assessments of the growth rate of COVID-19 were subject to significant uncertainty, as expected with limited data and difficulties in case ascertainment, but as cases were recorded in multiple countries, more robust inferences could be made. Using multiple countries, data streams and methods, we estimated that, when unconstrained, European COVID-19 confirmed cases doubled on average every 3 days (range 2.2-4.3 days) and Italian hospital and intensive care unit admissions every 2-3 days; values that are significantly lower than the 5-7 days dominating the early published literature. Furthermore, we showed that the impact of physical distancing interventions was typically not seen until at least 9 days after implementation, during which time confirmed cases could grow eightfold. We argue that such temporal patterns are more critical than precise estimates of the time-insensitive basic reproduction number

Identifiants

pubmed: 34053267
doi: 10.1098/rstb.2020.0264
pmc: PMC8165602
doi:

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

20200264

Subventions

Organisme : Medical Research Council
ID : MR/S020462/1
Pays : United Kingdom
Organisme : Medical Research Council
ID : MR/V038613/1
Pays : United Kingdom
Organisme : Wellcome Trust
ID : 107652/Z/15/Z
Pays : United Kingdom
Organisme : Wellcome Trust
ID : 202562/Z/16/Z
Pays : United Kingdom

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Auteurs

Lorenzo Pellis (L)

Department of Mathematics, The University of Manchester, Manchester, UK.
Joint UNIversities Pandemic and Epidemiological Research, UK.
The Alan Turing Institute, London, UK.

Francesca Scarabel (F)

Department of Mathematics, The University of Manchester, Manchester, UK.
Joint UNIversities Pandemic and Epidemiological Research, UK.
LIAM - Laboratory of Industrial and Applied Mathematics, Department of Mathematics and Statistics, York University, Toronto, Ontario, Canada.
CDLab - Computational Dynamics Laboratory, Department of Mathematics, Computer Science and Physics, University of Udine, Italy.

Helena B Stage (HB)

Department of Mathematics, The University of Manchester, Manchester, UK.
Joint UNIversities Pandemic and Epidemiological Research, UK.

Christopher E Overton (CE)

Department of Mathematics, The University of Manchester, Manchester, UK.
Clinical Data Science Unit, Manchester University NHS Foundation Trust, Manchester, UK.
Joint UNIversities Pandemic and Epidemiological Research, UK.

Lauren H K Chappell (LHK)

Department of Plant Sciences, University of Oxford, UK.

Elizabeth Fearon (E)

Department of Global Health and Development, London School of Hygiene and Tropical Medicine, UK.
CMMID - Centre for the Mathematical Modelling of Infectious Disease, London School of Hygiene and Tropical Medicine, UK.

Emma Bennett (E)

Emergency Response Department, Public Health England, UK.

Katrina A Lythgoe (KA)

Big Data Institute, University of Oxford, UK.
Department of Zoology, University of Oxford, UK.

Thomas A House (TA)

Department of Mathematics, The University of Manchester, Manchester, UK.
Joint UNIversities Pandemic and Epidemiological Research, UK.
The Alan Turing Institute, London, UK.
IBM Research, Hartree Centre, SciTech Daresbury, Warrington, UK.

Ian Hall (I)

Department of Mathematics, The University of Manchester, Manchester, UK.
Joint UNIversities Pandemic and Epidemiological Research, UK.
The Alan Turing Institute, London, UK.
Emergency Response Department, Public Health England, UK.

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