Evidence map›Paper›PMID 36684943›Full record

ArticleFrontiers in public health2022

Global law, policy, and governance for effective prevention and control of COVID-19: A comparative analysis of the law and policy of Pakistan, China, and Russia.

Muhammad Bilawal Khaskheli, Shumin Wang, Rana Yassir Hussain, M Jahanzeb Butt, XiaoShan Yan, Sara Majid

Abstract read
In one paragraph

Article in Frontiers in public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
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  6. COVID-19 Stressors and Aggression among Chinese College Students: The Mediation Role of Coping Strategies.International journal of environmental research and public health · 2023
    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

6 authors.

Muhammad Bilawal KhaskheliSchool of Law, Dalian Maritime University, Dalian, Liaoning, China.
Shumin WangSchool of Law, Dalian Maritime University, Dalian, Liaoning, China.
Rana Yassir HussainDivision of Management and Administrative Science, UE Business School, University of Education, Lahore, Pakistan.
M Jahanzeb ButtSchool of Maritime Management, Dalian Maritime University, Dalian, Liaoning, China.
XiaoShan YanSchool of Philosophy, Zhejiang University, Hangzhou, China.
Sara MajidSchool of Management, Xi'an Jiaotong University, Xi'an, Shaanxi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Global health governance is a developing system in this complex institutional regime. The local and regional health policies sometimes challenge global health governance due to diverse discourse in various countries. In the wake of COVID-19, global health governance was reaffirmed as indifferent modules to control and eliminate the pandemic; however, the global agencies later dissected their own opinion and said that "countries must learn to live with a pandemic." Given the controversial statement, this research focuses on the strong and effective policies of the Russian Federation, Pakistan, and China. The research uses the law and governance results and newly developed policies of the three countries formed under the global health policies. The conclusion is based on the statement that in order to live with the pandemic, strong health measures are required at each level.

Indexed as

COVID-19ChinaGlobal HealthHealth PolicyHumansPakistanChina epidemic prevention lawCOVID-19 lawglobal health governanceglobal health lawglobal health policyPakistan epidemic prevention lawpandemic lawRussia epidemic prevention law

Identifiers

PMID36684943
PMCPMC9846369

What OpenQuestion holds

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LicenceCC BY
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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.