Evidence map›Paper›PMID 36748381›Full record

ArticleZhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences2022

A survey on the public

Ming Zheng, Jie Li, Peixia Cheng, Peishan Ning, Guoqing Hu

Abstract read
In one paragraph

Article in Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Ming ZhengDepartment of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha 410078. zheng_ming_2046@163.com.
Jie LiDepartment of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha 410078.
Peixia ChengDepartment of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha 410078.
Peishan NingDepartment of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha 410078.
Guoqing HuDepartment of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha 410078. huguoqing@csu.edu.cn.

Funding

the Key Research and Development Project in the Field of Social Development in Hunan Province 2020SK3023the National Social Science Foundation 20&ZD120
6 · The paper itself

Abstract

objectivesDuring the epidemic of coronavirus disease-2019 (COVID-19), the wide spread of rumors caused significant public hazards. This study aims to understand the situation of discrimination for typical COVID-19 rumors by the public and related factors.

methodsAn anonymous online survey was carried out using Questionnaire Star. The contents included participants' gender, age, education level, the COVID-19 information sources, and the judgmental questions about 14 representative COVID-19 rumors. The discrimination rate and 95% confidence interval of 14 rumors were estimated, and the association of discrimination rate with gender, age, and education level was analyzed by binary logistic regression.

resultsA total of 2 087 valid questionnaires were collected. The participants were mainly female (62.7%) and below 35 years old (63.4%); the education level was predominantly college/bachelor's degree (47.3%) and master's degree or above (39.1%); the participants, who accessed to COVID-19 information included internet media, accounted for 91%. The participants with different gender, age, and education level had significant differences in the distribution of COVID-19 information sources (all P<0.01). The participants' discrimination rate for 14 rumors ranged from 67.4% to 98.6%, with 4 rumors less than 80%. Women's discrimination rate of 9 rumors was significantly higher than men's (all P<0.05). There was no significant difference in the discrimination rate of rumors among the different age groups (all P>0.05), but the differences in the discrimination rate of other rumors among the different age groups varied according to the rumor. Compared to those with high school or less education levels, the discrimination rates were also higher in the respondents with high education levels (P<0.05).

conclusionsA few publics are still unable to identify typical rumors during the COVID-19 epidemic. There are associations among genders, age, and the education levels with the discrimination of some rumors. The government authorities should strengthen the true information regarding COVID-19, and therefore enhance the public's ability to identify rumors.

Indexed as

COVID-19EpidemicsAdultFemaleHumansMaleSurveys and QuestionnairesChinacoronavirus disease 2019rumor

Identifiers

PMID36748381
PMCPMC10930261

What OpenQuestion holds

Textmetadata
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.