Evidence map›Paper›PMID 38107440›Full record

ArticleRisk management and healthcare policy2023

Monkeypox Knowledge Investigation and Knowledge Gap Analysis: An Online Cross-Sectional Survey in China.

Han Wang, Wei Song, Yuwei Wang, Xiwen Wu

Abstract read
In one paragraph

Article in Risk management and healthcare policy, 2023. 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

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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
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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

4 authors.

Han Wang *School of Journalism and Communication, Jinan University, Guangzhou, Guangdong, 510632, People's Republic of China.ORCID 0000-0001-7560-5395
Wei Song *School of Journalism and Information Communication, Huazhong University of Science and Technology, Wuhan City, Hubei, 430074, People's Republic of China.
Yuwei WangSchool of Journalism and Communication, Jinan University, Guangzhou, Guangdong, 510632, People's Republic of China.
Xiwen WuSchool of Media and Communication, University of Leeds, Leeds, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Monkeypox, as a significant public health concern, warrants a thorough investigation into public knowledge and understanding. Especially in non-endemic areas like China, exploring the factors contributing to knowledge and understanding gaps is crucial for effective disease management and prevention strategies. Objective: This study aims to assess the level of monkeypox knowledge among the Chinese public and to identify the factors that influence this knowledge, particularly focusing on the knowledge gaps between different educational groups. Methods: An online cross-sectional survey was conducted involving 720 participants stratified by age, between July and August 2023. The survey used a modified monkeypox knowledge questionnaire, and hierarchical regression analysis was employed to analyze the data. Results: The study revealed a significant knowledge gap in the understanding of monkeypox among the Chinese public. Key factors influencing this knowledge included educational level, perceived relevance of information, interpersonal communication, and exposure to social media and official health websites. Notably, exposure to social media was found to widen the knowledge gap between different educational groups, with its positive impact more pronounced in individuals with at least a junior high school education. Conclusion: The findings emphasize the need for varied communication strategies to effectively disseminate information about monkeypox and bridge the existing knowledge gaps. Tailoring health communication to different educational levels and utilizing diverse information sources are crucial for improving public understanding and containment of monkeypox.

Indexed as

awarenessChinahealth knowledgeknowledge gapmedia exposuremonkeypoxonline survey

Identifiers

PMID38107440
PMCPMC10725750

What OpenQuestion holds

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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.