ArticleAsian bioethics review2021
Is COVID-19 Immune to Misinformation? A Brief Overview.
Article in Asian bioethics review, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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.
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
8 citing papers in PubMed.
- Ethical Considerations in Infodemic Management: Systematic Scoping Review.JMIR infodemiology · 2024Article
- Prevalence of Health Misinformation on Social Media-Challenges and Mitigation Before, During, and Beyond the COVID-19 Pandemic: Scoping Literature Review.Journal of medical Internet research · 2024Article
- COVID-19 health information needs of older adults from ethnic minority groups in the UK: a qualitative study.BMJ open · 2022Article
- COVID-19, Vaccination, and Conspiracies: A Micro-Level Qualitative Study in Islamabad, Pakistan.The Yale journal of biology and medicine · 2022Article
- Explaining the intention to uptake COVID-19 vaccination using the behavioral and social drivers of vaccination (BeSD) model.Vaccine: X · 2022Article
- Digital society social interactions and trust analysis model.PeerJ. Computer science · 2022Article
- Public sphere attitudes towards the rumor sources of the COVID-19 pandemic: evidence from community perceptions in Iran.BMC public health · 2021Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
During the current COVID-19 pandemic, misinformation is a major challenge, raising several social and psychological concerns. This article highlights the prevailing misinformation as an outbreak containing hoaxes, myths, and rumours. In comparison to traditional media, online media platforms facilitate misinformation even more widely. To further affirm this ethical concern, the researchers cite relevant studies demonstrating the role of new media in misinformation and its potential consequences. Besides other significant psychosocial impacts, such as xenophobia, psychological distress, LGBT rights violation, gender-based violence, misinformation is undermining healthcare workers' psychological health and their efforts to mitigate the impact of COVID-19. In view of the adverse consequences of misinformation, this article addresses it as a massive ethical challenge during the current outbreak. Thus, the researchers make relevant suggestions to evaluate misinformation sources and mitigate the psychosocial impacts attributed to misinformation during crises. They include forming mental health teams comprising of psychologists, psychiatrists, and trained paramedical staff; rapid dissemination of authentic and updated COVID-19 situation reports regularly; establishing helpline services; and recognizing a broader range of personal needs. All health authorities should make clear that they are listening and responding to public concerns. Much effort is needed to counteract COVID-19 misinformation.
Indexed as
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.