Evidence map›Paper›PMID 35372627›Full record

ArticleJournal of education and health promotion2022

Awareness, practices, and myths related to coronavirus disease-19 among rural people in Kolar District, South India: A community-based mixed-methods study.

Surahalli J Naresh, Mahendra M Reddy, Ravishankar Suryanarayana, Ananta Bhattacharyya, Prasanna B T Kamath

Open access · goldAbstract read
In one paragraph

Article in Journal of education and health promotion, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.4field-weighted citation impact, top 39% of its field
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

Surahalli J NareshDepartment of Community Medicine, Sri Devaraj Urs Medical College, Kolar, Karnataka, India.
Mahendra M ReddyIndian Council of Medical Research - Regional Medical Research Centre, Gorakhpur, Karnataka, India.
Ravishankar SuryanarayanaDepartment of Community Medicine, Sri Devaraj Urs Medical College, Kolar, Karnataka, India.
Ananta BhattacharyyaDepartment of Community Medicine, Sri Devaraj Urs Medical College, Kolar, Karnataka, India.
Prasanna B T KamathDepartment of Community Medicine, Sri Devaraj Urs Medical College, Kolar, Karnataka, India.
Sri Devaraj Urs Medical College · INRegional Medical Research Centre · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCapturing the baseline information on awareness, practices, and prevailing myths related to the ongoing coronavirus disease-19 (COVID-19) pandemic in rural India will help in planning interventions to improve the health literacy on COVID-19. The aim of the study was to assess the level of awareness, practices, and myths regarding COVID-19 among rural population of Kolar district in South India. MATERIALS AND

methodsA concurrent mixed-methods study with a quantitative community-based cross-sectional analytical design and a qualitative phenomenological design was conducted in five randomly selected villages during June 2020. A prevalidated and pretested semi-structured questionnaire was administered to one adult in the households selected using systematic random sampling to capture the sociodemographic details and their awareness, practices, and myths related to COVID-19. The supervisors additionally and concurrently used a nonparticipant observation technique to record the real-time behaviors and preventive practices adopted by the villagers. Quantitative analysis was done using STATA and included multivariable regression analysis, and the association was reported using prevalence rates along with their 95% confidence intervals (CIs). Qualitative analysis was done manually as per discussion and concordance among supervisors and reported as categories along with supporting statements.

resultsAmong the 298 respondents, "poor awareness" was seen in 128 (43.0%, 95% CI: 37.5%-48.6%). Among the responders, 89 (29.9%) believed in the myth that "

conclusionAbout two in five villagers were found to have "poor awareness" to COVID, and practices related to COVID were found to be largely unsatisfactory. Lower level of education and belonging to nuclear family were associated with "poor awareness." Various myths were identified that has to be debunked on priority basis by the government, especially targeting the people having low level of education in rural India.

Indexed as

Coronavirus disease-19health literacyhealth promotionprevention and control

Identifiers

PMID35372627
PMCPMC8974936
OpenAlexW4225729856

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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 OpenQuestion graph.