Evidence map›Paper›PMID 33095740›Full record

ArticleJournal of medical Internet research2020

Concerns About Information Regarding COVID-19 on the Internet: Cross-Sectional Study.

Yusui Zhao, Shuiyang Xu, Lei Wang, Yu Huang, Yue Xu, Yan Xu, Qiaohong Lv, Zhen Wang, Qingqing Wu

Open access · goldAbstract read
In one paragraph

Article in Journal of medical Internet research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
5.1field-weighted citation impact, top 4% of its field
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

11 citing papers in PubMed, 20 citations in OpenAlex.

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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

9 authors at 1 institution in 1 country.

Yusui ZhaoZhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China.ORCID 0000-0001-5434-5299
Shuiyang XuZhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China.ORCID 0000-0002-8796-5731
Lei WangZhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China.ORCID 0000-0002-9991-1802
Yu HuangZhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China.ORCID 0000-0003-4535-4331
Yue XuZhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China.ORCID 0000-0001-8553-3444
Yan XuZhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China.ORCID 0000-0002-5657-2513
Qiaohong LvZhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China.ORCID 0000-0003-1099-9455
Zhen Wang *Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China.ORCID 0000-0002-2358-602X
Qingqing Wu *Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China.ORCID 0000-0003-1513-3191
Zhejiang Center for Disease Control and Prevention · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSince the outbreak of COVID-19, the Chinese government and the Chinese Center for Disease Control and Prevention have released COVID-19-related information to the public through various channels to raise their concern level of the pandemic, increase their knowledge of disease prevention, and ensure the uptake of proper preventive practices.

objectiveOur objectives were to determine Chinese netizens' concerns related to COVID-19 and the relationship between their concerns and information on the internet. We also aimed to elucidate the association between individuals' levels of concern, knowledge, and behaviors related to COVID-19.

methodsThe questionnaire, which consisted of 15 closed-ended questions, was designed to investigate Chinese netizens' knowledge about COVID-19. The self-selection online survey method of nonprobability sampling was used to recruit participants through Dingxiangyisheng WeChat (a public, medical, and health service platform in China) accounts. Standard descriptive statistics and multivariate logistic regression analyses were conducted to analyze the data.

resultsIn total, 10,304 respondents were surveyed on the internet (response rate=1.75%; 10,304/590,000). Nearly all (n=9803, 95.30%) participants were concerned about "confirmed cases" of COVID-19, and 87.70% (n=9036) received information about the outbreak through social media websites. There were significant differences in participants' concerns by sex (P=.02), age (P<.001), educational attainment (P=.001), and occupation (P<.001). All knowledge questions and preventive practices were associated with concerns about COVID-19. The results of the multivariate logistic regression indicated that participants' sex, educational attainment, occupation and employment status, knowledge acquisition, and concern level were significantly associated with the practice of proper preventive behaviors.

conclusionsThis study elucidated Chinese netizens' concerns, information sources, and preventive behaviors related to the COVID-19 pandemic. Sex, educational attainment, occupation and employment status, knowledge acquisition, and level of concern were key factors associated with proper preventive behaviors. This offers a theoretical basis for the government to provide targeted disease prevention and control information to the public.

Indexed as

AdolescentAdultChinaCOVID-19Cross-Sectional StudiesDisease OutbreaksFemaleHumansMaleMiddle AgedSARS-CoV-2Social MediaSurveys and QuestionnairesYoung AdultcoronavirusCOVID-19disease preventioninternetknowledge

Identifiers

PMID33095740
PMCPMC7655729
OpenAlexW3093734411

What OpenQuestion holds

Textmetadata
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.