Evidence map›Paper›PMID 36190988›Full record

ArticlePloS one2022

Risk perception, community myth, and practices towards COVID-19 pandemic in Southeast Ethiopia: Community based crossectional study.

Ahmednur Adem Aliyi, Musa Kumbi Ketaro, Zinash Teferu Engida, Ayele Mamo Argaw, Abduljewad Hussen Muhammed, Mesud Mohammed Hassen, Abdushekur Mohammed Abduletif, Damtow Solomon Shiferaw, Abate Lette Wodera, Sintayehu Hailu Ayene and 2 more

Abstract read
In one paragraph

Article in PloS one, 2022. 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

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

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

12 authors.

Ahmednur Adem AliyiDepartment of Public Health, School of Health Science, Goba Referral Hospital, Madda Walabu University, Goba, Ethiopia.ORCID 0000-0001-9087-5393
Musa Kumbi KetaroDepartment of Public Health, School of Health Science, Goba Referral Hospital, Madda Walabu University, Goba, Ethiopia.
Zinash Teferu EngidaDepartment of Public Health, School of Health Science, Goba Referral Hospital, Madda Walabu University, Goba, Ethiopia.
Ayele Mamo ArgawDepartment of Pharmacy, School of Health Science, Goba Referral Hospital, Madda Walabu University, Goba, Ethiopia.ORCID 0000-0002-5351-8300
Abduljewad Hussen MuhammedDepartment of Public Health, School of Health Science, Goba Referral Hospital, Madda Walabu University, Goba, Ethiopia.
Mesud Mohammed HassenDepartment of Pharmacy, School of Health Science, Goba Referral Hospital, Madda Walabu University, Goba, Ethiopia.
Abdushekur Mohammed AbduletifDepartment of Nursing, School of Health Science, Goba Referral Hospital, Madda Walabu University, Goba, Ethiopia.
Damtow Solomon ShiferawDepartment of Anatomy, School of Health Science, Goba Referral Hospital, Madda Walabu University, Goba, Ethiopia.
Abate Lette WoderaDepartment of Public Health, School of Health Science, Goba Referral Hospital, Madda Walabu University, Goba, Ethiopia.
Sintayehu Hailu AyeneDepartment of Public Health, School of Health Science, Goba Referral Hospital, Madda Walabu University, Goba, Ethiopia.
Jeylan Kassim EsmaelDepartment of Public Health, School of Health Science, Goba Referral Hospital, Madda Walabu University, Goba, Ethiopia.
Edao Sinba EtuDepartment of Public Health, School of Health Science, Goba Referral Hospital, Madda Walabu University, Goba, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe objective of this study was to assess risk perception, community myths, and preventive practice towards COVID-19 among community in Southeast Ethiopia, 2020.

methodsCommunity-based cross-sectional study was conducted among 854 participants selected using a multistage sampling technique. Data were collected using a structured questionnaire adapted from previous literature. Descriptive statistics were done to summarize the variables. A generalized linear model with binary logistic specification was used to identify factors associated with risk perception and practice. Accordingly adjusted odds ratios with 95% confidence intervals were calculated and those with p-value < 0.05 were considered as significant factors associated with risk perception and practice. Cluster analysis using a linear mixed model was performed to identify factors associated with community myth and those with p-value <0.05 were reported as significant factors associated with community myth.

resultsAll 854 respondents gave their answer yielding 100% response rate. Of these 547 (64.1%) were male, 611 (71.5%) were rural residents, 534 (62.5%) got information about COVID-19 from TV/radio, 591 (69.2%) of them live near health facility, 265 (30.8%) have a history of substance use and 100 (11.7%) have a history of chronic illness, and 415 (48.6%) of them have a high-risk perception, 428 (50.1%) have a wrong myth about COVID-19 and 366 (42.9%) have poor practice respectively. Residence, distances from health facility and myths were significantly associated with risk perception. Occupation, knowledge, and practice were significantly associated with community myths. Also level of education, living near health facilities, having good knowledge and wrong myth were significantly associated with the practice of utilizing COVID-19 preventive respectively.

conclusionThe study found high-risk perception, high wrong community myth, and relatively low utilization of available practices towards COVID-19 and factors associated with them.

Indexed as

COVID-19Cross-Sectional StudiesEthiopiaFemaleHealth Knowledge, Attitudes, PracticeHumansMalePandemicsPerceptionSurveys and Questionnaires

Identifiers

PMID36190988
PMCPMC9529088

What OpenQuestion 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 OpenQuestion graph.