Evidence map›Paper›PMID 42494828›Full record

ReviewCommunications health2026

How understanding the diversity of perspectives and systems in governments can increase the impact of scientific research.

Liza Hadley, Slimane Ben Miled, Hannah E Clapham, Bimandra A Djaafara, Louise Dyson, Sebastian Funk, Julia R Gog, Hans Heesterbeek, Edward M Hill, Emily Howerton and 17 more

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Communications health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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.

Liza HadleyUniversity of Colorado Boulder, Boulder, CO USA.
Slimane Ben MiledBioInformatics, bioMathematics and bioStatistics laboratory (BIMS-LR16IPT09), Pasteur Institute of Tunis, University of Tunis El Manar, Tunis, Tunisia.
Hannah E ClaphamSaw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore.
Bimandra A DjaafaraSaw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore.
Louise DysonThe Zeeman Institute for Systems Biology & Infectious Disease Epidemiology Research, School of Life Sciences and Mathematics Institute, University of Warwick, Coventry, UK.
Sebastian FunkCentre for Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine, London, UK.
Julia R GogUniversity of Cambridge, Cambridge, UK.
Hans HeesterbeekDepartment of Population Health Sciences, Utrecht University, Utrecht, The Netherlands.
Edward M HillCivic Health Innovation Labs, Department of Public Health, Policy and Systems, Institute of Population Health, NIHR Health Protection Research Unit in Emerging and Zoonotic Infections and The Pandemic Institute, University of Liverpool, Liverpool, UK.
Emily HowertonDepartment of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ USA.
Valerie IshamDepartment of Statistical Science, University College London, London, UK.
Amira KebirBioInformatics, bioMathematics and bioStatistics laboratory (BIMS-LR16IPT09), Pasteur Institute of Tunis, University of Tunis El Manar, Tunis, Tunisia.
Matt KeelingSBIDER, Maths Institute and School of Life Sciences, University of Warwick, Coventry, UK.
Stephen M KisslerUniversity of Colorado Boulder, Boulder, CO USA.
Justin LesslerDepartment of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC USA.
Kathy LeungThe Hong Kong Jockey Club Global Health Institute Pokfulam, Hong Kong SAR, China.
Emma McBrydeUQ Centre for Clinical Research (UQCCR), Faculty of Health, Medicine and Behavioural Sciences, The University of Queensland, Brisbane, QLD Australia.
James M McCawSchool of Mathematics and Statistics, The University of Melbourne, Melbourne, VIC Australia.
Chris Erwin G MercadoSaw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore.
Denis MollisonDepartment of Actuarial Mathematics and Statistics, Heriot-Watt University, Edinburgh, UK.
S M ThumbiCenter for Epidemiological Modelling and Analysis, University of Nairobi, Nairobi, Kenya.
Wirichada Pan-NgumMahidol-Oxford Tropical Medicine Research Unit (MORU) and Department of Tropical Hygiene, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand.
Lorenzo PellisThe University of Manchester, Manchester, UK.
Francisco J Pérez-RecheSchool of Natural and Computing Sciences, University of Aberdeen, Aberdeen, UK.
Michael J PlankSchool of Mathematics and Statistics, University of Canterbury, Christchurch, New Zealand.
Robin N ThompsonMathematical Institute, University of Oxford, Oxford, UK.
Cécile Tran-KiemVaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, WA USA.

Funding

Wellcome Trust
6 · The paper itself

Abstract

The COVID-19 crisis required scientists worldwide to contribute to complex, hectic, and unfamiliar governmental decision-processes. In this Perspective, we reflect on this intense interaction between science and health policy for pandemic response, drawing from the experience of infectious disease modellers across the world. We highlight the diversity of actors and interests in government, aiming to demystify the elusive 'policy makers'. We present a general taxonomy to help research scientists more effectively support evidence-based policy. We stress the importance of building and maintaining relationships appropriate to the diverse pool of government actors. Not recognising this diversity may lead to miscommunication and reduce the positive impacts of scientific evidence for public policy in crisis and non-crisis situations.

Indexed as

Environmental social sciencesHealth humanitiesScientific communitySocial sciences

Identifiers

PMID42494828
PMCPMC13391366

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.