Evidence map›Paper›PMID 34384378›Full record

ArticleBMC public health2021

Authorized, clear and timely communication of risk to guide public perception and action: lessons of COVID-19 from China.

Ni Gong, Xiaoyuan Jin, Jing Liao, Yundong Li, Meifen Zhang, Yu Cheng, Dong Xu

Abstract read
In one paragraph

Article in BMC public health, 2021. 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. 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

7 authors.

Ni Gong *School of Nursing, Jinan University, Guangzhou, P.R. China.
Xiaoyuan Jin *School of Public Health, Univeristy of Minnesota, Twin Cities, MN, USA.
Jing LiaoDepartment of Medical Statistics & Epidemiology, Sun Yat-sen Global Health Institute, School of Public Health, Sun Yat-sen University, No. 135 Xingang West Road, Guangzhou, P.R. China, 510275. liaojing5@mail.sysu.edu.cn.
Yundong LiGuangdong Academy of Social Sciences, Guangzhou, People's Republic of China.
Meifen ZhangSchool of Nursing, Su, Yat-sen University, Guangzhou, P.R. China.
Yu ChengSchool of Sociology & Anthropology, Sun Yat-sen University, Guangzhou, P.R. China.
Dong XuGlobal Health and Health Systems, School of Health Management, Southern Medical University, Guangzhou, China.

Funding

National Natural Science Foundation of China 71804201Natural Science Foundation of Guangdong Province 2018A030310305Natural Science Foundation of Guangdong Province #2018A0303130046Yunnan University B2018219
6 · The paper itself

Abstract

backgroundsThis study examined the dynamic association between risk communication and the public's risk perception and action across the COVID-19 outbreak timeline in China.

methodsThis study collected publicly available information on COVID-19 released on official channels (e.g., government websites and official media) by the Parehub tool. Also, the study used the Zhongyun Big Data Platform to search public datasets about released COVID-19 information on Chinese social media, such as TikTok and Weibo. An online survey was conducted via WeChat to Chinese citizens using a snowball sampling method. The questionnaire assessed changes in participants' risk perception and action against COVID-19. The data analysis examined information content and release-time trajectories against the public's risk perception and actions over time.

resultsAltogether, the collected data includes 1477 pieces of authorized information and 297,000 short videos on COVID-19. Of 1362 participants recruited from 33 provinces and municipalities of China, 1311 respondents (25-60 years, 42% male) were valid for future analysis. The study indicated that 85.7% of participants mainly relied on official channels to obtain information. Alongside the outbreak's progress, there was a gradual rise in information quantity, publishing frequency, and content variation. Correspondingly, the public's risk perception that "take it seriously" rose from 13 to 80%, 87.1% of those who took "multiple actions" compared to 25.9% initially.

conclusionsOur findings indicated that insufficient information freely-accessible at the early stages of the outbreak might lead to the lack of risk awareness and the public's inadequate protective actions. Given the current global situation of COVID-19, the study highlights authorized, transparent, and timely two-way risk communication is vital to guide public perception and actions. Furthermore, our study provides risk communication recommendations and may contribute to developing full measures to address future crises.

Indexed as

COVID-19Social MediaChinaCommunicationFemaleHumansMalePublic OpinionSARS-CoV-2COVID-19InformationLessons from ChinaPrevent measuresRisk communicationRisk perception

Identifiers

PMID34384378
PMCPMC8358541

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.