Evidence map›Paper›PMID 32781946›Full record

SynthesisProceedings. Biological sciences2020

Key questions for modelling COVID-19 exit strategies.

Robin N Thompson, T Déirdre Hollingsworth, Valerie Isham, Daniel Arribas-Bel, Ben Ashby, Tom Britton, Peter Challenor, Lauren H K Chappell, Hannah Clapham, Nik J Cunniffe and 33 more

Abstract readSystematic Review
In one paragraph

Synthesis in Proceedings. Biological sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers.

0numbers the graph read from it
0cells of the map it votes in
60citing papers in PubMed
–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

60 citing papers in PubMed.

  1. Article
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  13. Adapting a Physical Earthquake-Aftershock Model to Simulate the Spread of COVID-19.International journal of environmental research and public health · 2022
    Article
  14. Doubling time of infectious diseases.Journal of theoretical biology · 2022
    Article
  15. Beyond compliance: Good citizenship during the COVID-19 pandemic.Transactions (Institute of British Geographers : 1965) · 2022
    Article
  16. Article
  17. Review
  18. Refining Reproduction Number Estimates to Account for Unobserved Generations of Infection in Emerging Epidemics.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2022
    Article
  19. First-wave COVID-19 daily cases obey gamma law.Infectious Disease Modelling · 2022
    Article
  20. Are epidemic growth rates more informative than reproduction numbers?Journal of the Royal Statistical Society. Series A, (Statistics in Society) · 2022
    Article
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

43 authors.

Robin N ThompsonMathematical Institute, University of Oxford, Woodstock Road, Oxford OX2 6GG, UK.
T Déirdre HollingsworthBig Data Institute, University of Oxford, Old Road Campus, Oxford OX3 7LF, UK.
Valerie IshamDepartment of Statistical Science, University College London, Gower Street, London WC1E 6BT, UK.
Daniel Arribas-BelSchool of Environmental Sciences, University of Liverpool, Brownlow Street, Liverpool L3 5DA, UK.
Ben AshbyDepartment of Mathematical Sciences, University of Bath, North Road, Bath BA2 7AY, UK.
Tom BrittonDepartment of Mathematics, Stockholm University, Kräftriket, 106 91 Stockholm, Sweden.
Peter ChallenorCollege of Engineering, Mathematical and Physical Sciences, University of Exeter, Exeter EX4 4QE, UK.
Lauren H K ChappellDepartment of Plant Sciences, University of Oxford, South Parks Road, Oxford OX1 3RB, UK.
Hannah ClaphamSaw Swee Hock School of Public Health, National University of Singapore, 12 Science Drive, Singapore 117549, Singapore.
Nik J CunniffeDepartment of Plant Sciences, University of Cambridge, Downing Street, Cambridge CB2 3EA, UK.
A Philip DawidStatistical Laboratory, University of Cambridge, Wilberforce Road, Cambridge CB3 0WB, UK.
Christl A DonnellyDepartment of Statistics, University of Oxford, St Giles', Oxford OX1 3LB, UK.
Rosalind M EggoDepartment of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, Keppel Street, London WC1E 7HT, UK.
Sebastian FunkDepartment of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, Keppel Street, London WC1E 7HT, UK.
Nigel GilbertDepartment of Sociology, University of Surrey, Stag Hill, Guildford GU2 7XH, UK.
Paul GlendinningDepartment of Mathematics, University of Manchester, Oxford Road, Manchester M13 9PL, UK.
Julia R GogCentre for Mathematical Sciences, University of Cambridge, Wilberforce Road, Cambridge CB3 0WA, UK.
William S HartMathematical Institute, University of Oxford, Woodstock Road, Oxford OX2 6GG, UK.
Hans HeesterbeekDepartment of Population Health Sciences, Utrecht University, Yalelaan, 3584 CL Utrecht, The Netherlands.
Thomas HouseIBM Research, The Hartree Centre, Daresbury, Warrington WA4 4AD, UK.
Matt KeelingZeeman Institute for Systems Biology and Infectious Disease Epidemiology Research, School of Life Sciences and Mathematics Institute, University of Warwick, Gibbet Hill Road, Coventry CV4 7AL, UK.
István Z KissSchool of Mathematical and Physical Sciences, University of Sussex, Falmer, Brighton BN1 9QH, UK.
Mirjam E KretzschmarJulius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Heidelberglaan 100, 3584CX Utrecht, The Netherlands.
Alun L LloydBiomathematics Graduate Program and Department of Mathematics, North Carolina State University, Raleigh, NC 27695, USA.
Emma S McBrydeAustralian Institute of Tropical Health and Medicine, James Cook University, Townsville, Queensland 4811, Australia.
James M McCawSchool of Mathematics and Statistics, University of Melbourne, Carlton, Victoria 3010, Australia.
Trevelyan J McKinleyCollege of Medicine and Health, University of Exeter, Barrack Road, Exeter EX2 5DW, UK.
Joel C MillerDepartment of Mathematics and Statistics, La Trobe University, Bundoora, Victoria 3086, Australia.
Martina MorrisDepartment of Sociology, University of Washington, Savery Hall, Seattle, WA 98195, USA.
Philip D O'NeillSchool of Mathematical Sciences, University of Nottingham, University Park, Nottingham NG7 2RD, UK.
Kris V ParagMRC Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, Imperial College London, Norfolk Place, London W2 1PG, UK.
Carl A B PearsonDepartment of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, Keppel Street, London WC1E 7HT, UK.
Lorenzo PellisCentre for Mathematical Sciences, University of Cambridge, Wilberforce Road, Cambridge CB3 0WA, UK.
Juliet R C PulliamSouth African DSI-NRF Centre of Excellence in Epidemiological Modelling and Analysis (SACEMA), Stellenbosch University, Jonkershoek Road, Stellenbosch 7600, South Africa.
Joshua V RossSchool of Mathematical Sciences, University of Adelaide, South Australia 5005, Australia.
Gianpaolo Scalia TombaDepartment of Mathematics, University of Rome Tor Vergata, 00133 Rome, Italy.
Bernard W SilvermanDepartment of Statistics, University of Oxford, St Giles', Oxford OX1 3LB, UK.
Claudio J StruchinerEscola de Matemática Aplicada, Fundação Getúlio Vargas, Praia de Botafogo, 190 Rio de Janeiro, Brazil.
Michael J TildesleyZeeman Institute for Systems Biology and Infectious Disease Epidemiology Research, School of Life Sciences and Mathematics Institute, University of Warwick, Gibbet Hill Road, Coventry CV4 7AL, UK.
Pieter TrapmanDepartment of Mathematics, Stockholm University, Kräftriket, 106 91 Stockholm, Sweden.
Cerian R WebbDepartment of Plant Sciences, University of Cambridge, Downing Street, Cambridge CB2 3EA, UK.
Denis MollisonDepartment of Actuarial Mathematics and Statistics, Heriot-Watt University, Edinburgh EH14 4AS, UK.
Olivier RestifDepartment of Veterinary Medicine, University of Cambridge, Madingley Road, Cambridge CB3 0ES, UK.

Funding

EpiModel 2.0: Integrated Network Models for HIV/STI Prevention ScienceR01AI138783 · NIAID · EMORY UNIVERSITY · PI JENNESS, SAMUEL · 2018 to 2021
$3.0M
Biotechnology and Biological Sciences Research Council BB/R009236/1Medical Research Council MC_PC_19012Medical Research Council MR/R015600/1Medical Research Council MR/S003975/1Medical Research Council MR/V009761/1Medical Research Council MR/V038613/1NIAID NIH HHS R01 AI138783Wellcome Trust 210758/Z/18/Z
6 · The paper itself

Abstract

Combinations of intense non-pharmaceutical interventions (lockdowns) were introduced worldwide to reduce SARS-CoV-2 transmission. Many governments have begun to implement exit strategies that relax restrictions while attempting to control the risk of a surge in cases. Mathematical modelling has played a central role in guiding interventions, but the challenge of designing optimal exit strategies in the face of ongoing transmission is unprecedented. Here, we report discussions from the Isaac Newton Institute 'Models for an exit strategy' workshop (11-15 May 2020). A diverse community of modellers who are providing evidence to governments worldwide were asked to identify the main questions that, if answered, would allow for more accurate predictions of the effects of different exit strategies. Based on these questions, we propose a roadmap to facilitate the development of reliable models to guide exit strategies. This roadmap requires a global collaborative effort from the scientific community and policymakers, and has three parts: (i) improve estimation of key epidemiological parameters; (ii) understand sources of heterogeneity in populations; and (iii) focus on requirements for data collection, particularly in low-to-middle-income countries. This will provide important information for planning exit strategies that balance socio-economic benefits with public health.

Indexed as

Immunity, HerdModels, TheoreticalChildCoronavirus InfectionsCOVID-19Disease EradicationFamily CharacteristicsHumansPandemicsPneumonia, ViralSchoolsSeroepidemiologic StudiesCOVID-19epidemic controlexit strategymathematical modellingSARS-CoV-2uncertainty

Identifiers

PMID32781946
PMCPMC7575516

What OpenQuestion holds

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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 OpenQuestion graph.