Evidence map›Paper›PMID 36673700›Full record

ArticleInternational journal of environmental research and public health2023

Multiple Concurrent Causal Relationships and Multiple Governance Pathways for Non-Pharmaceutical Intervention Policies in Pandemics: A Fuzzy Set Qualitative Comparative Analysis Based on 102 Countries and Regions.

Yaming Zhang, Jiaqi Zhang, Yaya Hamadou Koura, Changyuan Feng, Yanyuan Su, Wenjie Song, Linghao Kong

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. The next viral pandemic-where do we stand?Folia microbiologica · 2025
    Review
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

7 authors.

Yaming ZhangSchool of Economics and Management, Yanshan University, Qinhuangdao 066004, China.
Jiaqi ZhangSchool of Economics and Management, Yanshan University, Qinhuangdao 066004, China.ORCID 0000-0003-4226-5552
Yaya Hamadou KouraSchool of Foreign Languages, Yanshan University, Qinhuangdao 066004, China.
Changyuan FengBusiness School, University of Granada, Campus Universitario de Cartuja, 18071 Granada, Spain.
Yanyuan SuSchool of Economics and Management, Yanshan University, Qinhuangdao 066004, China.
Wenjie SongSchool of Economics and Management, Yanshan University, Qinhuangdao 066004, China.
Linghao KongSchool of Economics and Management, Yanshan University, Qinhuangdao 066004, China.

Funding

National Natural Science Foundation of China 72101227National Social Science Foundation of China; 22BXW038Natural Science Foundation of Hebei G2020203003Natural Science Foundation of Hebei G2020203008Science and Technology Research Project of Hebei Provincial Department of Education ZD2020199
6 · The paper itself

Abstract

The global outbreak of COVID-19 has been wreaking havoc on all aspects of human societies. In addition to pharmaceutical interventions, non-pharmaceutical intervention policies have been proven to be crucial in slowing down the spread of the virus and reducing the impact of the outbreak on economic development, daily life, and social stability. However, no studies have focused on which non-pharmaceutical intervention policies are more effective; this is the focus of our study. We used data samples from 102 countries and regions around the world and selected seven categories of related policies, including work and school suspensions, assembly restrictions, movement restrictions, home isolation, international population movement restrictions, income subsidies, and testing and screening as the condition variables. A susceptible-exposed-infected-quarantined-recovered (SEIQR) model considering non-pharmaceutical intervention policies and latency with infectiousness was constructed to calculate the epidemic transmission rate as the outcome variable, and a fuzzy set qualitative comparative analysis (fsQCA) method was applied to explore the multiple concurrent causal relationships and multiple governance paths of non-pharmaceutical intervention policies for epidemics from the configuration perspective. We found a total of four non-pharmaceutical intervention policy pathways. Among them, L1 was highly suppressive, L2 was moderately suppressive, and L3 was externally suppressive. The results also showed that individual non-pharmaceutical intervention policy could not effectively suppress the spread of the pandemic. Moreover, three specific non-pharmaceutical intervention policies, including work stoppage and school closure, testing and screening, and economic subsidies, had a universal effect in the policies grouping for effective control of the pandemic transmission.

Indexed as

COVID-19HumansPandemicsPolicyQuarantineSARS-CoV-2COVID-19fsQCAgrounded theorynon-pharmaceutical interventionSEIQRviral transmission

Identifiers

PMID36673700
PMCPMC9858854

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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.