Evidence map›Paper›PMID 37660243›Full record

ArticleRisk analysis : an official publication of the Society for Risk Analysis2024

The foundations of influencing policy and practice: How risk science discourse shaped government action during COVID-19.

Duncan Shaw, Judy Scully

Abstract read
In one paragraph

Article in Risk analysis : an official publication of the Society for Risk Analysis, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

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

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

  1. Pooled it
  2. Travel bubble policies for low-risk air transport recovery during pandemics.Risk analysis : an official publication of the Society for Risk Analysis · 2025
    Article
  3. The foundations of influencing policy and practice: How risk science discourse shaped government action during COVID-19.Risk analysis : an official publication of the Society for Risk Analysis · 2024
    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

2 authors.

Duncan ShawAlliance Manchester Business School, The University of Manchester, Manchester, UK.
Judy ScullyAlliance Manchester Business School, The University of Manchester, Manchester, UK.

Funding

Economic and Social Research Council ES/V015346/1
6 · The paper itself

Abstract

COVID-19 demonstrated the complex manner in which discourses from risk science are manipulated to legitimize government action. We use Foucault's theory of Governmentality to explore how a risk science discourse shaped national and local government action during COVID-19. We theorize how national government policymakers and local government risk managers were objectified by (and subjectified themselves to) risk science models, results, and discourses. From this theoretical position we analyze a dataset, including observations of risk science discourse and 22 qualitative interviews, to understand the challenges that national government policymakers, risk scientists, and local government risk managers faced during COVID-19. Findings from our Foucauldian discourse analysis show how, through power and knowledge, competing discourses emerge in a situation that was disturbed by uncertainty-which created disturbed senders (policymakers and risk scientists) and disturbed receivers (risk managers) of risk science. First, we explore the interaction between risk science and policymakers, including how the disturbed context enabled policymakers to select discourse from risk science to justify their policies. This showed government's sociopolitical leveraging of scientific power and knowledge by positioning itself as being submissive to "follow the science." Second, we discuss how risk managers (1) were objectified by the discourse from policymakers that required them to be obedient to risk science, and paradoxically (2) used the disturbed context to justify resisting government objectification through their human agency to subjectify themselves and take action. Using these concepts, we explore the foundation of risk science influence in COVID-19.

Indexed as

COVID-19SARS-CoV-2GovernmentHealth PolicyHumansLocal GovernmentPandemicsPolicy MakingPoliticsRisk AssessmentCOVID‐19discourseFoucaultGovernmentalityrisk science

Identifiers

PMID37660243
PMCPMC11669564

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.