Evidence map›Paper›PMID 34534749›Full record

ArticleEpidemics2021

Challenges on the interaction of models and policy for pandemic control.

Liza Hadley, Peter Challenor, Chris Dent, Valerie Isham, Denis Mollison, Duncan A Robertson, Ben Swallow, Cerian R Webb

Abstract read
In one paragraph

Article in Epidemics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

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

  1. Pooled it
  2. Article
  3. Modelling practices, data provisioning, sharing and dissemination needs for pandemic decision-making: a European survey-based modellers' perspective, 2020 to 2022.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Ten simple rules for good model-sharing practices.PLoS computational biology · 2025
    Article
  11. Article
  12. Review
  13. Article
  14. 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

8 authors.

Liza HadleyDisease Dynamics Unit, Department of Veterinary Medicine, University of Cambridge, United Kingdom. Electronic address: lh667@cam.ac.uk.
Peter ChallenorDepartment of Mathematics, University of Exeter, United Kingdom.
Chris DentSchool of Mathematics, University of Edinburgh, United Kingdom; Alan Turing Institute, United Kingdom.
Valerie IshamDepartment of Statistical Science, University College London, United Kingdom.
Denis MollisonDepartment of Actuarial Mathematics and Statistics, Heriot-Watt University, United Kingdom.
Duncan A RobertsonSchool of Business and Economics, Loughborough University, United Kingdom; St Catherine's College, University of Oxford, United Kingdom.
Ben SwallowSchool of Mathematics and Statistics, University of Glasgow, United Kingdom.
Cerian R WebbDepartment of Plant Sciences, University of Cambridge, United Kingdom.

Funding

Wellcome Trust
6 · The paper itself

Abstract

The COVID-19 pandemic has seen infectious disease modelling at the forefront of government decision-making. Models have been widely used throughout the pandemic to estimate pathogen spread and explore the potential impact of different intervention strategies. Infectious disease modellers and policymakers have worked effectively together, but there are many avenues for progress on this interface. In this paper, we identify and discuss seven broad challenges on the interaction of models and policy for pandemic control. We then conclude with suggestions and recommendations for the future.

Indexed as

COVID-19PandemicsHumansPolicySARS-CoV-2CommunicationCooperationModellingPandemicPolicy

Identifiers

PMID34534749
PMCPMC8404384

What Socratic holds

Textmetadata
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.