Evidence map›Paper›PMID 36078703›Full record

ArticleInternational journal of environmental research and public health2022

Analyzing the Characteristics of Policies and Political Institutions for the Prevention and Control Governance of the COVID-19 Pandemic: Evidence from China.

Mingniu Dong, Cheng Zhou, Zhenhua Zhang

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. 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. Article
  2. Article
  3. Analyst Site Visits and Corporate Environmental Information Disclosure: Evidence from China.International journal of environmental research and public health · 2022
    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

3 authors.

Mingniu DongSchool of Public Administration, Nanjing Normal University, Nanjing 210023, China.
Cheng ZhouSchool of Public Administration, Nanjing Normal University, Nanjing 210023, China.ORCID 0000-0003-1559-1555
Zhenhua ZhangInstitute of Green Finance, Lanzhou University, Lanzhou 730000, China.ORCID 0000-0002-6629-393X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study explores the institutional reasons for and logical mechanism of the Chinese government's rapid positive results and major strategic achievements in coronavirus disease 2019 (COVID-19) pandemic prevention and control. Based on the ROST Content Mining System version 6.0 (ROST) and VOSviewer V1.6.1 (VOSviewer), we conduct an econometric visualization analysis of COVID-19 pandemic prevention and control policies to explore which strengths of Chinese political institutions have been brought into play by the Chinese government and how to systematically analyze the approaches by which these strengths support effective public governance. The findings show that: (1) "institutional strength", "medical terminology", "policy content", "policy implementation object", "policy implementation requirement", and "policy-making and implementation actor" are the six groups of high-frequency keywords in prevention and control policies. (2) The occurrences, links, and total link strength of the seven Chinese institutional strength keywords are very high. These results mean that the Chinese government has made full use of its institutional strengths to prevent and control COVID-19. These findings indicate that institutional strengths are critical to public health crisis prevention and control. They also illustrate that institutional strength is the prerequisite and key factor for achieving effective governance in the policy process. Scientific policymaking, efficient policy implementation, and strict oversight are undeniably necessary for effective governance during public health crises.

Indexed as

COVID-19PandemicsChinaHumansPolicyPolicy MakingChinaCOVID-19effective governancepolitical institutionpublic policy

Identifiers

PMID36078703
PMCPMC9518029

What OpenQuestion holds

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Registered trials

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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.