Evidence map›Paper›PMID 32739626›Full record

ArticleEnvironmental research2020

Perception-based influence factors of intention to adopt COVID-19 epidemic prevention in China.

Munir Ahmad, Khadeeja Iram, Gul Jabeen

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Article in Environmental research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
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47citing papers in PubMed, 3 pooled it
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1 · What the graph read from it

What it found

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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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3 · Its place in the literature

Who cites it

47 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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  3. Risk Perception towards COVID-19: A Systematic Review and Qualitative Synthesis.International journal of environmental research and public health · 2022
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  17. Sustainable impact of COVID-19 on education projects: aspects of naturalism.Environmental science and pollution research international · 2022
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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Munir AhmadSchool of Economics, Zhejiang University, Hangzhou, 310058, China. Electronic address: munirahmad@zju.edu.cn.
Khadeeja IramThe Aga Khan University, National Stadium Rd, Aga Khan University Hospital, Karachi, Karachi City, 74000, Sindh, Pakistan.
Gul JabeenSchool of Economics and Management, North China Electric Power University, Beijing, 102206, China. Electronic address: guljabeen@ncepu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe researches investigating the influence factors of epidemic prevention are not only scarce, but also provide a gap in the domain of perception-based influence factors of intention to adopt COVID-19 epidemic prevention.

objectiveThis work has attempted to examine the perception-based influence factors of individuals' intention to adopt COVID-19 epidemic prevention in a modified behavioral framework. THEORETICAL FRAMEWORK: A behavioral framework composed of the theory of reasoned action and the theory of planned behavior is developed to incorporate some additional perception-based influence factors.

methodsA partial least square-based path analysis has been employed to estimate the path coefficients of those factors in terms of drivers, barriers, and neutral factors based on questionnaire data of 302 respondents from six universities and two hospitals in China.

resultsAmong the perception-based influence factors, governments' guidelines on epidemic prevention is found to be the most important and influential factor, which was followed by risk perception. Finally, attitude towards epidemic prevention exhibited the least degree of impact on individuals' intention to adopt epidemic prevention. Moral norms did not show any contribution to individuals' intention to adopt epidemic prevention.

conclusionConcerning importance ranking, the governments' guidelines on epidemic prevention, risk perception, and epidemic knowledge are revealed as the top three drivers of individuals' intention to adopt epidemic prevention, while the perceived feasibility to adopt epidemic prevention is found to be a barrier. Moreover, moral norms is identified to have an insignificant influence on individuals' intention to adopt epidemic prevention. Given the empirical results, dissemination of Governments' guidelines on epidemic prevention, proper risk perception, and knowledge about epidemic would help prevent the COVID-19 pandemic outbreak within China and worldwide.

Indexed as

Coronavirus InfectionsHealth Knowledge, Attitudes, PracticeIntentionPandemicsPneumonia, ViralBetacoronavirusChinaCOVID-19FemaleHumansMaleMiddle AgedRiskSARS-CoV-2Surveys and QuestionnairesEpidemic knowledgeGovernments' guidelines on epidemic preventionModified behavioral frameworkRisk aversionRisk perception

Identifiers

PMID32739626
PMCPMC7384406

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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.