Evidence map›Paper›PMID 38383375›Full record

ArticleBMC public health2024

Public acceptance of COVID-19 control measures and associated factors during Omicron-dominant period in China: a cross-sectional survey.

Jiayi Zhong, Qianhong Zhong, Husheng Xiong, Dawei Wu, Caiyun Zheng, Shuang Liu, Qinyi Zhong, Yan Chen, Dingmei Zhang

Abstract read
In one paragraph

Article in BMC public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

9 authors.

Jiayi Zhong *School of Public Health, Sun Yat-Sen University, 510080, Guangzhou, Guangdong, China.
Qianhong Zhong *Department of Tuberculosis Control, The Fourth People's Hospital of Foshan city, 528000, Foshan, Guangdong, China.
Husheng XiongSchool of Public Health, Sun Yat-Sen University, 510080, Guangzhou, Guangdong, China.
Dawei WuSchool of Public Health, Sun Yat-Sen University, 510080, Guangzhou, Guangdong, China.
Caiyun ZhengSchool of Public Health, Sun Yat-Sen University, 510080, Guangzhou, Guangdong, China.
Shuang LiuSchool of Public Health, Sun Yat-Sen University, 510080, Guangzhou, Guangdong, China.
Qinyi ZhongSchool of Law, Sun Yat-Sen University, 510080, Guangzhou, Guangdong, China.
Yan ChenMedical College of Shaoguan University, 512026, Shaoguan, Guangdong, China. yanchen_sg@163.com.
Dingmei ZhangSchool of Public Health, Sun Yat-Sen University, 510080, Guangzhou, Guangdong, China. zhdingm@mail.sysu.edu.cn.

Funding

Guangdong Natural Science Foundation Project 2022A1515011012
6 · The paper itself

Abstract

objectivesThis study aims to evaluate the public acceptance of coronavirus disease 2019 (COVID-19) control measures during the Omicron-dominant period and its associated factors.

methodsA cross-sectional design was conducted and 1391 study participants were openly recruited to participate in the questionnaire survey. Logistic regression model was performed to assess the association between the public acceptance and potential factors more specifically.

resultsBy August 26, 2022, 58.9% of the study participants were less acceptive of the control measures while 41.1% expressed higher acceptance. Factors associated with lower acceptance included young age, such as < 18 (OR = 8.251, 95% CI: 2.009 to 33.889) and 18-29 (OR = 2.349, 95% CI: 1.564 to 3.529), and household per capita monthly income lower than 5000 yuan (OR = 1.512, 95% CI: 1.085 to 2.105). Furthermore, individuals who perceived that the case fatality rate (CFR) of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) was very low (OR = 6.010, 95% CI: 2.475 to 14.595) and that the restrictions could be eased once the CFR dropped to 2-3 times of the influenza (OR = 2.792, 95% CI: 1.939 to 4.023) showed greater oppositional attitudes. Likewise, respondents who were dissatisfied with control measures (OR = 9.639, 95% CI: 4.425 to 20.998) or preferred fully relaxation as soon as possible (OR = 13.571, 95% CI: 7.751 to 23.758) had even lower acceptability. By contrast, rural residents (OR = 0.683, 95% CI: 0.473 to 0.987), students (OR = 0.510, 95% CI: 0.276 to 0.941), public (OR = 0.417, 95% CI: 0.240 to 0.727) and private (OR = 0.562, 95% CI: 0.320 to 0.986) employees, and vaccinated participants (OR = 0.393, 95% CI: 0.204 to 0.756) were more compliant with control measures.

conclusionMore than half of the Chinese public were less supportive of COVID-19 control measures during Omicron-dominant period, which varied based on their different demographic characteristics, cognition and overall attitude towards SARS-CoV-2 infection. Control measures that struck a balance between public safety and individual freedom would be more acceptable during the pandemic.

Indexed as

Communicable Disease ControlCOVID-19ChinaCross-Sectional StudiesHumansPatient ComplianceSurveys and QuestionnairesControl measuresCOVID-19Omicron variantPublic acceptancePublic health strategyVaccination

Identifiers

PMID38383375
PMCPMC10882874

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.