Evidence map›Paper›PMID 34053267›Full record

ArticlePhilosophical transactions of the Royal Society of London. Series B, Biological sciences2021

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

Lorenzo Pellis, Francesca Scarabel, Helena B Stage, Christopher E Overton, Lauren H K Chappell, Elizabeth Fearon, Emma Bennett, Katrina A Lythgoe, Thomas A House, Ian Hall and 1 more

Open access · hybridAbstract read
In one paragraph

Article in Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 92 papers.

0numbers the graph read from it
0cells of the map it votes in
92citing papers in PubMed
0.8field-weighted citation impact, top 30% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

92 citing papers in PubMed, 18 citations in OpenAlex.

  1. Review
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  4. Addressing model discrepancy in a clinical model of the oxygen dissociation curve.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2025
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  18. Nowcasting the 2022 mpox outbreak in England.PLoS computational biology · 2023
    Article
  19. Article
  20. Article

32 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 5 institutions in 4 countries.

Lorenzo PellisDepartment of Mathematics, The University of Manchester, Manchester, UK.
Francesca ScarabelDepartment of Mathematics, The University of Manchester, Manchester, UK.
Helena B StageDepartment of Mathematics, The University of Manchester, Manchester, UK.
Christopher E OvertonDepartment of Mathematics, The University of Manchester, Manchester, UK.
Lauren H K ChappellDepartment of Plant Sciences, University of Oxford, UK.
Elizabeth FearonDepartment of Global Health and Development, London School of Hygiene and Tropical Medicine, UK.
Emma BennettEmergency Response Department, Public Health England, UK.
Katrina A LythgoeBig Data Institute, University of Oxford, UK.
Thomas A HouseDepartment of Mathematics, The University of Manchester, Manchester, UK.
Ian HallDepartment of Mathematics, The University of Manchester, Manchester, UK.
University of Manchester COVID-19 Modelling Group
University of Manchester · GBOpen Data Institute · GBPublic Health England · GBUniversity of Oxford · GBUniversity of Udine · IT

Funding

Medical Research Council MR/S020462/1Medical Research Council MR/V038613/1Wellcome Trust 107652/Z/15/ZWellcome Trust 202562/Z/16/Z
6 · The paper itself

Abstract

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

Indexed as

Models, TheoreticalPandemicsCOVID-19HumansItalyPhysical DistancingSARS-CoV-2early growth rateincubation periodnon-pharmaceutical interventionsonset-to-hospitalization delayreproduction numberunconstrained epidemic

Identifiers

PMID34053267
PMCPMC8165602
OpenAlexW3014512461

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.