ArticleProgress in disaster science2020
Effects of misinformation on COVID-19 individual responses and recommendations for resilience of disastrous consequences of misinformation.
Article in Progress in disaster science, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 100 papers, 2 of them syntheses that pooled 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.
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
100 citing papers in PubMed, 2 syntheses or guidelines pooled it, 407 citations in OpenAlex.
- Addressing infodemic for pandemic preparedness in the digital age: a focus on Middle Africa.Frontiers in public health · 2024Pooled it
- Pooled it
- Participant engagement with a short, wordless, animated video on COVID-19 prevention: a multi-site randomized trial.Health promotion international · 2023Trial
- Analytic thinking predicts accuracy ratings and willingness to share COVID-19 misinformation in Australia.Memory & cognition · 2022Trial
- Misinformation Through the Lens of Dutch News Media and Public Health Authorities: Content Analysis of Topics and Narratives Present in Pandemic-Related Misinformation During COVID-19.JMIR infodemiology · 2026Article
- South Korea's Health Misinformation Response during COVID-19: A Narrative-Thematic Analysis.Asian bioethics review · 2025Article
- How the General Public Navigates Health Misinformation on Social Media: Qualitative Study of Identification and Response Approaches.JMIR infodemiology · 2025Article
- A path forward on online misinformation mitigation based on current user behavior.Scientific reports · 2025Article
- Socioeconomic conditions exacerbated by the coronavirus in the Eastern Cape province of South Africa.Frontiers in public health · 2025Article
- Passive social media use and depression among college students during public health emergencies: a chain mediation approach.Frontiers in psychology · 2025Article
- Misinformation and COVID-19 vaccine uptake hesitancy among frontline workers in Tanzania: Do demographic variables matter?Human vaccines & immunotherapeutics · 2024Article
- Beyond COVID: towards a transdisciplinary synthesis for understanding responses and developing pandemic preparedness in Alaska.International journal of circumpolar health · 2024Review
- The effects of mass media messages, perceived susceptibility and self-rated health on public attitude towards COVID-19 in South Africa.BMC public health · 2024Article
- Patterns of self-medication and intention to seek pharmacist guidance among older adults during the COVID-19 pandemic in Macao: a cross-sectional study.BMC public health · 2024Article
- Modeling Misinformation Spread in a Bounded Confidence Model: A Simulation Study.Entropy (Basel, Switzerland) · 2024Article
- Hyperlocal lessons from the COVID-19 pandemic: Toward an equity-centered implementation science approach.Social sciences & humanities open · 2024Article
- Strategies and bottlenecks to tackle infodemic in public health: a scoping review.Frontiers in public health · 2024Article
- Effectiveness and impact of covid-19 response and vaccination challenges in Namibia: A systematic review.Journal of public health in Africa · 2023Article
- Diet-Nutrition Information Seeking, Source Trustworthiness, and Eating Behavior Changes: An International Web-Based Survey.Nutrients · 2023Article
- Can delay discounting predict vaccine hesitancy 4-years later? A study among US young adults.Preventive medicine reports · 2023Article
40 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The proliferation of misinformation on social media platforms is faster than the spread of Corona Virus Diseases (COVID-19) and it can generate hefty deleterious consequences on health amid a disaster like COVID-19. Drawing upon research on the stimulus-response theory (hypodermic needle theory) and the resilience theory, this study tested a conceptual framework considering general misinformation belief, conspiracy belief, and religious misinformation belief as the stimulus; and credibility evaluations as resilience strategy; and their effects on COVID-19 individual responses. Using a self-administered online survey during the COVID-19 pandemic, the study obtained 483 useable responses and after test, finds that all-inclusive, the propagation of misinformation on social media undermines the COVID-19 individual responses. Particularly, credibility evaluation of misinformation strongly predicts the COVID-19 individual responses with positive influences and religious misinformation beliefs as well as conspiracy beliefs and general misinformation beliefs come next and influence negatively. The findings and general recommendations will help the public, in general, to be cautious about misinformation, and the respective authority of a country, in particular, for initiating proper safety measures about disastrous misinformation to protect the public health from being exploited.
Indexed as
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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.