Evidence map›Paper›PMID 36203691›Full record

ArticleFrontiers in public health2022

Analysis of China's fight against COVID-19 from the perspective of policy tools-policy capacity.

Shuicheng Zhu, Shuaiyao Feng, Xiaoling Ning, Yiwei Zhou

Abstract read
PubMed Full text at PMC Publisher
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.

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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

4 authors.

Shuicheng ZhuDepartment of Public Administration, Business School, University of Shanghai for Science and Technology, Shanghai, China.
Shuaiyao FengDepartment of Public Administration, Business School, University of Shanghai for Science and Technology, Shanghai, China.
Xiaoling NingCollege of Engineering Science and Technology, Shanghai Ocean University, Shanghai, China.
Yiwei ZhouDepartment of Information Management and Information Systems, Business School, University of Shanghai for Science and Technology, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Judging from the number of confirmed cases, deaths, cures and the time taken to restore normal social and economic order, China is undoubtedly one of the most successful countries in fighting the COVID-19 pandemic, which highlights strong policy capacity of Chinese government using policy tools to solve policy problems efficiently. Based on the policy tools theory put forward by Roy Rothwell and Walter Zegveld, this paper analyzes the specific policy tools used in the prodromal period, breakout period, chronic period and resolution period of China's COVID-19 pandemic and further summarizes three characteristics: The comprehensive use of policy tools, staging of the use of policy tools in different periods and the dominant position of supply-oriented policy tools.

Indexed as

COVID-19ChinaHumansPandemicsPolicyChinaCOVID-19pandemicpolicy capacitypolicy tools

Identifiers

PMID36203691
PMCPMC9531593

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.