Evidence map›Paper›PMID 41333242›Full record

ReviewJugan geon-gang gwa jilbyeong2023

[A Case Study on the Decision-making of Non-pharmaceutical Interventions].

Ungki Jung, SangJune Kim, Youngook Jang, Jieun Aum, Dasol Kim, TongRyoung Jung

Abstract readEnglish AbstractReview
In one paragraph

Review in Jugan geon-gang gwa jilbyeong, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Ungki Jung서울대학교 의과대학 의료관리학교실.
SangJune Kim런던정치경제대학교 보건정책학과.
Youngook Jang대외경제정책연구원.
Jieun Aum질병관리청 중앙방역대책본부 상황총괄단 총괄조정팀.
Dasol Kim질병관리청 감염병위기대응국 위기대응총괄과.
TongRyoung Jung질병관리청 중앙방역대책본부 상황총괄단 총괄조정팀.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To cope with the coronavirus disease 2019 (COVID-19) pandemic, non-pharmaceutical interventions (NPIs) policies were introduced around the world, with significant socioeconomic costs being simultaneously incurred. For the NPIs to be effectively implemented, public acceptance of them must be thus considered. In the process of incorporating scientific evidence into policy decisions, different interests, values, or beliefs among societal groups needs to be comprehensively discussed and deliberated. In this study, we focus on two dimensions of the contradictory dynamics that a relation between science and policy would give rise to: the politics of health policy and the politics of evidence. Based on the literature review and consultations from expert seminars we organized, comparative case analysis is employed to explore how decision-making on NPIs was made in the United States (US), the United Kingdom (UK), Denmark, and Taiwan. To be specific, science advice mechanisms are examined in the cases of the US and UK, while the use of behavioral science expertise in Denmark and how civic technology governance works in Taiwan are briefly discussed as policy innovations during the pandemic. We conclude with recommendations for Korean's policymakers. They include risk communication strategies firmly based on behavioral and social science expertise and the activation of better science advice mechanisms.

Indexed as

COVID-19Infectious diseaseNon-pharmaceutical interventionPublic Health

Identifiers

PMID41333242
PMCPMC12479811

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.