Evidence map›Paper›PMID 38784437›Full record

ArticleWellcome open research2024

Improving modelling for epidemic responses: reflections from members of the UK infectious disease modelling community on their experiences during the COVID-19 pandemic.

Katharine Sherratt, Anna C Carnegie, Adam Kucharski, Anne Cori, Carl A B Pearson, Christopher I Jarvis, Christopher Overton, Dale Weston, Edward M Hill, Edward Knock and 17 more

Abstract read
In one paragraph

Article in Wellcome open research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. 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
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. 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

27 authors.

Katharine Sherratt *Centre for Mathematical Modelling of Infectious Disease, London School of Hygiene & Tropical Medicine, London, UK.ORCID https://orcid.org/0000-0003-2049-3423
Anna C Carnegie *Centre for Mathematical Modelling of Infectious Disease, London School of Hygiene & Tropical Medicine, London, UK.ORCID https://orcid.org/0000-0002-6385-7795
Adam KucharskiCentre for Mathematical Modelling of Infectious Disease, London School of Hygiene & Tropical Medicine, London, UK.
Anne CoriMRC Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London, London, UK.
Carl A B PearsonCentre for Mathematical Modelling of Infectious Disease, London School of Hygiene & Tropical Medicine, London, UK.ORCID https://orcid.org/0000-0003-0701-7860
Christopher I JarvisCentre for Mathematical Modelling of Infectious Disease, London School of Hygiene & Tropical Medicine, London, UK.
Christopher OvertonAll Hazards Intelligence, Data Analytics and Surveillance, UK Health Security Agency, London, UK.
Dale WestonEmergency Response Department Science & Technology Behavioural Science, UK Health Security Agency, London, UK.
Edward M HillWarwick Mathematics Institute and The Zeeman Institute for Systems Biology & Infectious Disease Epidemiology Research, University of Warwick, Coventry, UK.ORCID https://orcid.org/0000-0002-2992-2004
Edward KnockMRC Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London, London, UK.
Elizabeth FearonInstitute for Global Health, University College London, London, UK.
Emily NightingaleCentre for Mathematical Modelling of Infectious Disease, London School of Hygiene & Tropical Medicine, London, UK.ORCID https://orcid.org/0000-0002-9265-1841
Joel HellewellEuropean Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, UK.
W John EdmundsCentre for Mathematical Modelling of Infectious Disease, London School of Hygiene & Tropical Medicine, London, UK.
Julián Villabona ArenasCentre for Mathematical Modelling of Infectious Disease, London School of Hygiene & Tropical Medicine, London, UK.
Kiesha PremCentre for Mathematical Modelling of Infectious Disease, London School of Hygiene & Tropical Medicine, London, UK.ORCID https://orcid.org/0000-0003-0528-798X
Li PiBig Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UK.ORCID https://orcid.org/0000-0001-7818-408X
Marc BaguelinCentre for Mathematical Modelling of Infectious Disease, London School of Hygiene & Tropical Medicine, London, UK.
Michelle KendallWarwick Mathematics Institute and The Zeeman Institute for Systems Biology & Infectious Disease Epidemiology Research, University of Warwick, Coventry, UK.
Neil FergusonMRC Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London, London, UK.
Nicholas DaviesCentre for Mathematical Modelling of Infectious Disease, London School of Hygiene & Tropical Medicine, London, UK.
Rosalind M EggoCentre for Mathematical Modelling of Infectious Disease, London School of Hygiene & Tropical Medicine, London, UK.
Sabine van ElslandMRC Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London, London, UK.ORCID https://orcid.org/0000-0003-0775-7463
Timothy RussellCentre for Mathematical Modelling of Infectious Disease, London School of Hygiene & Tropical Medicine, London, UK.ORCID https://orcid.org/0000-0001-5610-6080
Sebastian FunkCentre for Mathematical Modelling of Infectious Disease, London School of Hygiene & Tropical Medicine, London, UK.ORCID https://orcid.org/0000-0002-2842-3406
Yang LiuCentre for Mathematical Modelling of Infectious Disease, London School of Hygiene & Tropical Medicine, London, UK.ORCID https://orcid.org/0000-0002-9368-0425
Sam AbbottCentre for Mathematical Modelling of Infectious Disease, London School of Hygiene & Tropical Medicine, London, UK.ORCID https://orcid.org/0000-0001-8057-8037

Funding

Medical Research Council MR/R015600/1Wellcome Trust
6 · The paper itself

Abstract

Background: The COVID-19 pandemic both relied and placed significant burdens on the experts involved from research and public health sectors. The sustained high pressure of a pandemic on responders, such as healthcare workers, can lead to lasting psychological impacts including acute stress disorder, post-traumatic stress disorder, burnout, and moral injury, which can impact individual wellbeing and productivity. Methods: As members of the infectious disease modelling community, we convened a reflective workshop to understand the professional and personal impacts of response work on our community and to propose recommendations for future epidemic responses. The attendees represented a range of career stages, institutions, and disciplines. This piece was collectively produced by those present at the session based on our collective experiences. Results: Key issues we identified at the workshop were lack of institutional support, insecure contracts, unequal credit and recognition, and mental health impacts. Our recommendations include rewarding impactful work, fostering academia-public health collaboration, decreasing dependence on key individuals by developing teams, increasing transparency in decision-making, and implementing sustainable work practices. Conclusions: Despite limitations in representation, this workshop provided valuable insights into the UK COVID-19 modelling experience and guidance for future public health crises. Recognising and addressing the issues highlighted is crucial, in our view, for ensuring the effectiveness of epidemic response work in the future.

Indexed as

COVID-19modellingpandemic response

Identifiers

PMID38784437
PMCPMC11112301

What OpenQuestion 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 OpenQuestion graph.