Evidence map›Paper›PMID 40792249›Full record

ArticleQatar medical journal2025

A pilot study on the pattern of COVID-19 information sources and its associated factors among the public in Qatar: a cross-sectional survey.

Wafa Mohammed Ahmed, Ayman Aldahshan, Mohamed Abdien, Iheb Buogmiza

Abstract read
In one paragraph

Article in Qatar medical journal, 2025. 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
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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Wafa Mohammed AhmedDepartment of Community Medicine, Hamad Medical Corporation, Doha, Qatar.
Ayman AldahshanDepartment of Preventive Medicine, Hamad Medical Corporation, Doha, Qatar.
Mohamed AbdienFamily and Community 'Medicine Residency Program Primary Health Care Corporation.
Iheb BuogmizaFamily and Community 'Medicine Residency Program Primary Health Care Corporation.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: During the coronavirus pandemic, many people looked for information on COVID-19 through social, official, and traditional media sources. This caustic situation resulted in panic among the public, leading to many false news, conspiracy theories, and magical cures being spread among the public at an alarming rate. Controversial theories about the validity of vaccination and non-adoption of disease control resulted in a slow disease control rate and adverse impacts on global health and the economy. Recent studies have shown that health information could safely guard mental health during the COVID-19 pandemic. To adopt a disease control strategy, it is essential to identify the public confidence in information sources and the most efficient media to disseminate intervention messages to the public. The main objectives of this study were to identify from 12 alternative information sources the most utilized COVID-19 source of information, the most trusted information source, and the factors associated with high trust in a given source. Methods: A cross-sectional online survey with 442 participants aged 18 years and above was conducted to assess public views and preferences on sources of information for COVID-19. Data was analyzed using descriptive statistics, correlation, and logistic regression analyses. Bloom's scale, composite score preference, and chi-squared test were determined for result evaluation purposes. Results and Conclusion: The study findings suggest that the Ministry of Public Health is a widely trusted information source that offers a potentially effective tool for shaping, designing, and disseminating information messages to shape public attitudes toward control of COVID-19 and enhancement of preventive actions. By offering insight into the pattern of COVID-19 information sources and its associated factors among the public in Qatar, the study formulated a set of recommendations for health decision-makers to set packages to help manage and control the spread of coronavirus.

Indexed as

control measures disseminationCOVID-19information sourcespublic preferencesseeking behavior

Identifiers

PMID40792249
PMCPMC12337779

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.