Evidence map›Paper›PMID 33658326›Full record

ArticleScience (New York, N.Y.)2021

Estimated transmissibility and impact of SARS-CoV-2 lineage B.1.1.7 in England.

Nicholas G Davies, Sam Abbott, Rosanna C Barnard, Christopher I Jarvis, Adam J Kucharski, James D Munday, Carl A B Pearson, Timothy W Russell, Damien C Tully, Alex D Washburne and 15 more

Abstract read
In one paragraph

Article in Science (New York, N.Y.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1,531 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1,531citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

1,531 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  13. Understanding patterns of variant emergence and spread in an ongoing epidemic.medRxiv : the preprint server for health sciences · 2026
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1,471 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

25 authors.

Nicholas G DaviesCentre for Mathematical Modelling of Infectious Diseases, London School of Hygiene and Tropical Medicine, London, UK. nicholas.davies@lshtm.ac.uk.ORCID https://orcid.org/0000-0002-1740-1412
Sam Abbott *Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene and Tropical Medicine, London, UK.ORCID https://orcid.org/0000-0001-8057-8037
Rosanna C Barnard *Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene and Tropical Medicine, London, UK.ORCID https://orcid.org/0000-0001-7602-0401
Christopher I Jarvis *Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene and Tropical Medicine, London, UK.ORCID https://orcid.org/0000-0002-0812-2446
Adam J Kucharski *Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene and Tropical Medicine, London, UK.
James D Munday *Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene and Tropical Medicine, London, UK.ORCID https://orcid.org/0000-0002-6206-7134
Carl A B Pearson *Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene and Tropical Medicine, London, UK.ORCID https://orcid.org/0000-0003-0701-7860
Timothy W Russell *Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene and Tropical Medicine, London, UK.ORCID https://orcid.org/0000-0001-5610-6080
Damien C Tully *Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene and Tropical Medicine, London, UK.ORCID https://orcid.org/0000-0002-7620-9340
Alex D Washburne *Selva Analytics LLC, Bozeman, MT, USA.ORCID https://orcid.org/0000-0003-4047-3411
Tom Wenseleers *Lab of Socioecology and Social Evolution, KU Leuven, Leuven, Belgium.ORCID https://orcid.org/0000-0002-1434-861X
Amy GimmaCentre for Mathematical Modelling of Infectious Diseases, London School of Hygiene and Tropical Medicine, London, UK.
William WaitesCentre for Mathematical Modelling of Infectious Diseases, London School of Hygiene and Tropical Medicine, London, UK.ORCID https://orcid.org/0000-0002-7759-6805
Kerry L M WongCentre for Mathematical Modelling of Infectious Diseases, London School of Hygiene and Tropical Medicine, London, UK.ORCID https://orcid.org/0000-0002-4400-2257
Kevin van ZandvoortCentre for Mathematical Modelling of Infectious Diseases, London School of Hygiene and Tropical Medicine, London, UK.ORCID https://orcid.org/0000-0002-7770-0537
Justin D SilvermanCollege of Information Science and Technology, Pennsylvania State University, University Park, PA, USA.ORCID https://orcid.org/0000-0002-3063-2098
CMMID COVID-19 Working Group
COVID-19 Genomics UK (COG-UK) Consortium
Karla Diaz-OrdazCentre for Statistical Methodology and Department of Medical Statistics, London School of Hygiene and Tropical Medicine, London, UK.ORCID https://orcid.org/0000-0003-3155-1561
Ruth KeoghCentre for Statistical Methodology and Department of Medical Statistics, London School of Hygiene and Tropical Medicine, London, UK.ORCID https://orcid.org/0000-0001-6504-3253
Rosalind M EggoCentre for Mathematical Modelling of Infectious Diseases, London School of Hygiene and Tropical Medicine, London, UK.ORCID https://orcid.org/0000-0002-0362-6717
Sebastian FunkCentre for Mathematical Modelling of Infectious Diseases, London School of Hygiene and Tropical Medicine, London, UK.ORCID https://orcid.org/0000-0002-2842-3406
Mark JitCentre for Mathematical Modelling of Infectious Diseases, London School of Hygiene and Tropical Medicine, London, UK.ORCID https://orcid.org/0000-0001-6658-8255
Katherine E AtkinsCentre for Mathematical Modelling of Infectious Diseases, London School of Hygiene and Tropical Medicine, London, UK.ORCID https://orcid.org/0000-0001-5250-0558
W John EdmundsCentre for Mathematical Modelling of Infectious Diseases, London School of Hygiene and Tropical Medicine, London, UK.ORCID https://orcid.org/0000-0002-9179-2917

Funding

Medical Scientist Training Program Training GrantT32GM145449 · NIGMS · DUKE UNIVERSITY · PI Christopher D Kontos · 2022 to 2026
$6.6M
Medical Research Council MC_PC_19027Medical Research Council MC_PC_19065Medical Research Council MR/S017968/1Medical Research Council MR/V027956/1NIGMS NIH HHS T32 GM145449Wellcome Trust 206250/Z/17/ZWellcome Trust 218554/Z/19/Z
6 · The paper itself

Abstract

A severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variant, VOC 202012/01 (lineage B.1.1.7), emerged in southeast England in September 2020 and is rapidly spreading toward fixation. Using a variety of statistical and dynamic modeling approaches, we estimate that this variant has a 43 to 90% (range of 95% credible intervals, 38 to 130%) higher reproduction number than preexisting variants. A fitted two-strain dynamic transmission model shows that VOC 202012/01 will lead to large resurgences of COVID-19 cases. Without stringent control measures, including limited closure of educational institutions and a greatly accelerated vaccine rollout, COVID-19 hospitalizations and deaths across England in the first 6 months of 2021 were projected to exceed those in 2020. VOC 202012/01 has spread globally and exhibits a similar transmission increase (59 to 74%) in Denmark, Switzerland, and the United States.

Indexed as

SARS-CoV-2AdolescentAdultAgedAged, 80 and overBasic Reproduction NumberChildChild, PreschoolCommunicable Disease ControlCOVID-19COVID-19 VaccinesEnglandEuropeFemaleHumansInfantCOVID-19 Vaccines

Identifiers

PMID33658326
PMCPMC8128288

What OpenQuestion holds

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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 OpenQuestion graph.