Evidence map›Paper›PMID 35564482›Full record

ArticleInternational journal of environmental research and public health2022

An Investigation on Chinese Public Acceptance of COVID-19 Prevention Measures.

Ao Zhang, Hao Yang, Shuning Tong, Jingqi Gao

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Spatial Pattern Analysis of Xinjiang Tourism Resources Based on Electronic Map Points of Interest.International journal of environmental research and public health · 2022
    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

4 authors.

Ao ZhangSchool of Engineering and Technology, China University of Geosciences (Beijing), Beijing 100083, China.
Hao YangSchool of Engineering and Technology, China University of Geosciences (Beijing), Beijing 100083, China.
Shuning TongEmergency Management Department of Xinjiang Uygur Autonomous Region, Urumqi 830011, China.
Jingqi GaoSchool of Engineering and Technology, China University of Geosciences (Beijing), Beijing 100083, China.ORCID 0000-0003-4239-4004

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

China has basically succeeded in bringing the COVID-19 epidemic under control, thanks to a timely series of effective prevention and control measures taken by the Chinese government. In this study, a public acceptance questionnaire of epidemic prevention measures was designed to investigate the influencing factors of public acceptance. A total of 2062 samples were collected from 8 March 2020 to 9 April 2020, and Independent-Samples T-Test and One-way ANOVA were used to analyze the data collected in the questionnaire in SPSS version 22.0. The results show that age and educational level have a significant influence on public acceptance. With the development of the epidemic, the acceptability grew generally higher. The public acceptance of traffic measures is the highest. This study summarises China's scientific experience in the fight against COVID-19 and the differences in public acceptance. It can provide a positive reference for the development of epidemic prevention in other countries.

Indexed as

COVID-19EpidemicsChinaGovernmentHumansSurveys and QuestionnairesacceptanceCOVID-19emergency prevention and control measuresepidemicpublic acceptance

Identifiers

PMID35564482
PMCPMC9102455

What OpenQuestion holds

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LicenceCC BY
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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.