Evidence map›Paper›PMID 35801233›Full record

SynthesisFrontiers in public health2022

Knowledge, Attitude and Practices Toward Coronavirus Disease (COVID- 19) in Southeast and South Asia: A Mixed Study Design Approach.

Mohammad Meshbahur Rahman, Roy Rillera Marzo, Shanjida Chowdhury, Sikandar Ali Qalati, Mohammad Nayeem Hasan, Gowranga Kumar Paul, Khadijah Abid, Wegayehu Enbeyle Sheferaw, Angela Mariadass, Divitra Chandran and 4 more

Abstract readMeta-AnalysisReview
In one paragraph

Synthesis in Frontiers in public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 3 pooled it
–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

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

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  5. Exploring the knowledge and practices on road safety measures among motorbikers in Dhaka, Bangladesh: a cross-sectional study.Injury prevention : journal of the International Society for Child and Adolescent Injury Prevention · 2025
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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

14 authors.

Mohammad Meshbahur RahmanDepartment of Biostatistics, National Institute of Preventive and Social Medicine, Dhaka, Bangladesh.
Roy Rillera MarzoDepartment of Community Medicine, International Medical School, Management and Science University, Selangor, Malaysia.
Shanjida ChowdhuryDepartment of General Educational Development, Daffodil International University, Dhaka, Bangladesh.
Sikandar Ali QalatiSchool of Finance and Economics, Jiangsu University, Zhenjiang, China.
Mohammad Nayeem HasanDepartment of Statistics, Shahjalal University of Science and Technology, Sylhet, Bangladesh.
Gowranga Kumar PaulDepartment of Statistics, Mawlana Bhashani Science and Technology University, Santosh, Bangladesh.
Khadijah AbidDepartment of Public Health, The Shaheed Zulfikar Ali Bhutto Institute of Science and Technology, Karachi, Pakistan.
Wegayehu Enbeyle SheferawDepartment of Statistics, Mizan-Tepi University, Tepi, Ethiopia.
Angela MariadassDepartment of Community Medicine, Faculty of Medicine, Asia Metropolitan University, Johor, Malaysia.
Divitra ChandranDepartment of Community Medicine, Faculty of Medicine, Asia Metropolitan University, Johor, Malaysia.
Shasvini KananDepartment of Community Medicine, Faculty of Medicine, Asia Metropolitan University, Johor, Malaysia.
Ahmad Umar Shafie Bin Ahmad FirdausDepartment of Community Medicine, Faculty of Medicine, Asia Metropolitan University, Johor, Malaysia.
Fatimah Az Zahra' Binti SabarinDepartment of Community Medicine, Faculty of Medicine, Asia Metropolitan University, Johor, Malaysia.
Yulan LinDepartment of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Coronavirus has spread to almost every country since its emergence in Wuhan, China and countries have been adopted an array of measures to control the rapid spread of the epidemic. Here, we aimed to assess the person's knowledge, attitude and practices (KAP) toward the COVID-19 epidemic in Southeast and South Asia applying the mixed study design (cross-sectional and systematic review). Methods: In the cross-sectional study, 743 respondents' socio-demographic and KAP-related information was collected through an online population-based survey from the Malaysian population. In the systematic review, the database PubMed, Web of Science and Google Scholar search engine were searched and related published articles from South and Southeast Asia were included. Frequency distribution, Chi-square association test and binary logistic regression were fitted using cross-sectional data whereas random effect model and study bias were performed in meta-analysis. We used 95% confidence interval and P <0.05 as statistical significances. Results: The prevalence of good knowledge, positive attitude and frequent practice toward COVID-19 epidemic were 52.6%, 51.8% and 57.1%, respectively, obtained by cross-sectional data analysis. The KAP prevalence were ranged from 26.53% (Thailand) to 95.4% (Nepal); 59.3% (Turkey) to 92.5% (Pakistan); and 50.2 (Turkey) to 97% (Afghanistan), respectively, obtained by 18 studies included in the meta-analysis. The prevalence of KAP was higher [84% vs. 79%, Conclusion: The study sufficiently informs how other countries in Southeast and South Asia enriches their KAP behaviors during the pandemic which may help health professionals and policymakers to develop targeted interventions and effective practices.

Indexed as

COVID-19ChinaCross-Sectional StudiesHealth Knowledge, Attitudes, PracticeHumansSARS-CoV-2Surveys and QuestionnairesattitudeCOVID–19knowledgepracticeSoutheast and South Asia

Identifiers

PMID35801233
PMCPMC9253590

What Socratic 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 Socratic graph.