Evidence map›Paper›PMID 34675716›Full record

ArticleRisk management and healthcare policy2021

Mechanism of WeChat's Impact on Public Risk Perception During COVID-19.

Yue Zhuang, Tiantian Zhao, Xuanrong Shao

Abstract read
In one paragraph

Article in Risk management and healthcare policy, 2021. 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

3 authors.

Yue ZhuangSchool of Safety Science and Emergency Management, Wuhan University of Technology, Wuhan City, Hubei Province, People's Republic of China.
Tiantian ZhaoSchool of Safety Science and Emergency Management, Wuhan University of Technology, Wuhan City, Hubei Province, People's Republic of China.
Xuanrong ShaoSchool of Safety Science and Emergency Management, Wuhan University of Technology, Wuhan City, Hubei Province, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTaking COVID-19 as an example, this paper explores the mechanism of WeChat's impact on risk information transmission in social media and builds a model of WeChat's impact on public risk perception based on risk communication.

methodsResearch primarily utilised the questionnaire survey method to collect and analyse public attitudes towards COVID-19 to achieve the research goals. We checked the adequacy of measurements and tested the hypotheses with regression analysis based on 801 participants in China.

resultsThe results indicated that the levels of the public WeChat COVID-19 risk information attention and trust had a significant positive impact on the public's risk perception and willingness of pandemic prevention. The improved public risk perception of COVID-19 as a mediator enhanced the public pandemic prevention ability, which allowed WeChat to play a more effective role in major disaster emergency.

Indexed as

COVID-19pandemic preventionpublic risk perceptionWeChat

Identifiers

PMID34675716
PMCPMC8519410

What OpenQuestion holds

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LicenceCC BY-NC
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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.