Evidence map›Paper›PMID 36121862›Full record

ArticlePloS one2022

Relationship between knowledge, attitude, and practice of COVID-19 precautionary measures and the frequency of infection among medical students at an Egyptian University.

Ghada O Wassif, Dina Ahmed Gamal El Din

Open access · goldAbstract 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 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.3field-weighted citation impact, top 20% of its field
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

5 citing papers in PubMed, 7 citations in OpenAlex.

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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

2 authors at 1 institution in 1 country.

Ghada O WassifDepartment of Community, Environmental & Occupational Medicine, Faculty of Medicine, Ain Shams University, Cairo, Egypt.ORCID 0000-0001-5721-4331
Dina Ahmed Gamal El DinDepartment of Community, Environmental & Occupational Medicine, Faculty of Medicine, Ain Shams University, Cairo, Egypt.
Ain Shams University · EG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMedical undergraduates are at high risk of COVID-19 infection. Thus, conformance to healthy practices is advised to reduce disease transmission and control the current epidemic. The present study aimed to explore the relationship of knowledge, attitude, and practice (KAP) related to COVID-19 precautionary measures with the frequency of infection among medical students at an Egyptian University.

methodsA comparative cross-sectional study was conducted on 404 undergraduate medical students from different grades using a web-based self-administered anonymous questionnaire.

resultsMore than one-third of medical students (37.4%) were previously infected with COVID-19, where the majority (60.5%) were diagnosed with relevant signs and symptoms. Medical students with low levels of KAP experienced higher frequencies of infection than did other students. A statistically significant negative correlation was observed between the number of previous COVID-19 infections among medical students and their knowledge and attitude scores toward COVID-19. In addition, a statistically significant positive correlation was noted among KAP scores (P < 0.01).

conclusionImproving the knowledge, attitude, and conformance of medical students to precautionary measures toward COVID-19 may substantially reduce the risk and frequency of infection and, hence, reduce community transmission.

Indexed as

COVID-19Students, MedicalCross-Sectional StudiesEgyptHealth Knowledge, Attitudes, PracticeHumansUniversities

Identifiers

PMID36121862
PMCPMC9484682
OpenAlexW4296328405

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.