ArticleScience & education2022
Exploring the Role of Trust in Scientists to Explain Health-Related Behaviors in Response to the COVID-19 Pandemic.
Article in Science & education, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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.
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.
Who cites it
6 citing papers in PubMed, 19 citations in OpenAlex.
- Unveiling the narrative: Italian media's role in shaping public health messaging during COVID-19 - A corpus-assisted discourse analysis.BMC public health · 2026Article
- COVID-19 alert level systems-Lessons learnt for future public health emergencies: A qualitative study.PloS one · 2026Article
- Use of the socio-ecological model to explore trusted sources of COVID-19 information in Black and Latinx communities in Michigan.Journal of communication in healthcare · 2023Article
- (Why) Is Misinformation a Problem?Perspectives on psychological science : a journal of the Association for Psychological Science · 2023Article
- A Cross-Sectional Study To Assess Knowledge of Monkeypox Among Medical Students and Graduates in India.Cureus · 2023Article
- Knowledge of Human Monkeypox and Its Relation to Conspiracy Beliefs among Students in Jordanian Health Schools: Filling the Knowledge Gap on Emerging Zoonotic Viruses.Medicina (Kaunas, Lithuania) · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The devastating COVID-19 pandemic has cast a light on the question of why trust in scientists is important. This mixed-method study aimed to explore the study participants' trust in scientists about getting the COVID-19 vaccine. It also aimed to reveal which key sources of information participants followed about the pandemic. Participants' health-related behaviors and justifications for their behaviors as a response to the pandemic were also explored to understand how trust in scientists and sources of information played a role in the fight against COVID-19. The responses of 1233 participants across Turkey were analyzed. The findings indicated that trust in scientists and compliance with the scientists' suggested behaviors among the participants were quite high. It was also revealed that, for both trust and non-trust groups, participants questioned the reliability of information and the sources. Participants justified their behaviors mainly by referring to policies, e.g., masks, distance, and hygiene, developed and implemented with the collaboration of government, scientists, and the World Health Organization. Moreover, trust issues regarding scientists, government authorities, or other citizens were mentioned in participants' justifications. The current study also shed light on the importance of building trust through an open and healthy dialogue among scientists, government authorities, and the public to overcome the COVID-19 pandemic. The study highlighted the need for scientifically informed citizens to deal with the problems, i.e., misinformation and disinformation, in the post-truth era such as not jeopardizing effective solutions to eliminate the pandemic, e.g., taking the vaccine.
Identifiers
What OpenQuestion holds
Registered trials
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.