Evidence map›Paper›PMID 33716509›Full record

ArticleInfection and drug resistance2021

Knowledge, Attitude and Practice Toward COVID-19 Pandemic Among Population Visiting Dessie Health Center for COVID-19 Screening, Northeast Ethiopia.

Daniel Gebretsadik, Saba Gebremichael, Melaku Ashagrie Belete

Abstract read
In one paragraph

Article in Infection and drug resistance, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

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3 · Its place in the literature

Who cites it

13 citing papers in PubMed.

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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

3 authors.

Daniel GebretsadikDepartment of Medical Laboratory Science, College of Medicine and Health Sciences, Wollo University, Dessie, Ethiopia.ORCID 0000-0001-5032-5143
Saba GebremichaelDepartment of Medical Laboratory Science, College of Medicine and Health Sciences, Wollo University, Dessie, Ethiopia.ORCID 0000-0001-8529-6194
Melaku Ashagrie BeleteDepartment of Medical Laboratory Science, College of Medicine and Health Sciences, Wollo University, Dessie, Ethiopia.ORCID 0000-0002-0706-9903

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCoronavirus 2019 (COVID-19) is currently a global health threat and an international public health emergency. As of 21 January 2021, 97.8 million cases with more than two million deaths were recorded worldwide while in Ethiopia 132,326 confirmed cases and 2057 deaths were reported. Hence, the aim of the present study was to determine the magnitude of knowledge, attitude, and practice toward COVID-19 among the population who visited the health center for COVID-19 screening.

methodsA health institution-based cross-sectional study was conducted among the 384 study population visiting Dessie health center for COVID-19 screening from September 1, to October 21, 2020 using a simple random sampling technique. A structured questionnaire was used to obtain information related to sociodemographic characteristics, Knowledge (eleven questions), attitude (six questions) and practice (nin questions). Both bivariable and multivariable logistic regression analyses with a 95% confidence interval were used to identify factors associated with poor knowledge and practice. A

resultsOut of the total study participants 61.5% were males, 52.6% of them were aged between 30 and 49 years and 85.2% of them were living in urban areas. The magnitude of poor knowledge and poor practice was 187 (48.7%) and 160 (41.7%), respectively. Poor knowledge had statistically significant association with Illiteracy (AOR= 5.53, 95%CI= 1.03-29.68,

conclusionAlarmingly high poor knowledge, negatively skewed attitude, and poor practice regarding the COVID-19 pandemic was indicated. Therefore, health education programs aimed at mobilizing and improving COVID-19-related knowledge, attitude, and practice are urgently needed, especially for those who are illiterate, having travel and contact history, or generally among underprivileged populations.

Indexed as

COVID-19EthiopiaKAP

Identifiers

PMID33716509
PMCPMC7944117

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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.