Literature DB >> 35001841

Interventions to Mitigate COVID-19 Misinformation: A Systematic Review and Meta-Analysis.

Kamila Janmohamed1, Nathan Walter2, Kate Nyhan3, Kaveh Khoshnood4, Joseph D Tucker5,6,7, Natalie Sangngam1, Frederick L Altice8,9, Qinglan Ding10, Allie Wong11, Zachary M Schwitzky11, Chris T Bauch12, Munmun De Choudhury13, Orestis Papakyriakopoulos14, Navin Kumar8.   

Abstract

The duration and impact of the COVID-19 pandemic depends largely on individual and societal actions which are influenced by the quality and salience of the information to which they are exposed. Unfortunately, COVID-19 misinformation has proliferated. Despite growing attempts to mitigate COVID-19 misinformation, there is still uncertainty regarding the best way to ameliorate the impact of COVID-19 misinformation. To address this gap, the current study uses a meta-analysis to evaluate the relative impact of interventions designed to mitigate COVID-19-related misinformation. We searched multiple databases and gray literature from January 2020 to September 2021. The primary outcome was COVID-19 misinformation belief. We examined study quality and meta-analysis was used to pool data with similar interventions and outcomes. 16 studies were analyzed in the meta-analysis, including data from 33378 individuals. The mean effect size of interventions to mitigate COVID-19 misinformation was positive, but not statistically significant [d = 2.018, 95% CI (-0.14, 4.18), p = .065, k = 16]. We found evidence of publication bias. Interventions were more effective in cases where participants were involved with the topic, and where text-only mitigation was used. The limited focus on non-U.S. studies and marginalized populations is concerning given the greater COVID-19 mortality burden on vulnerable communities globally. The findings of this meta-analysis describe the current state of the literature and prescribe specific recommendations to better address the proliferation of COVID-19 misinformation, providing insights helpful to mitigating pandemic outcomes.

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Year:  2022        PMID: 35001841     DOI: 10.1080/10810730.2021.2021460

Source DB:  PubMed          Journal:  J Health Commun        ISSN: 1081-0730


  2 in total

1.  Using community influencer groups to address COVID-19 misinformation and vaccine hesitancy in Uganda: a protocol for a prospective quasi-experimental study.

Authors:  Jacquellyn Nambi Ssanyu; Ronald Kiguba; Ronald Olum; Juliet Kiguli; Freddy Eric Kitutu
Journal:  BMJ Open       Date:  2022-08-26       Impact factor: 3.006

2.  YouTube and 2022 Monkeypox outbreak: opportunities for awareness and infection control.

Authors:  Yeimer Ortiz-Martínez; Lina M Galvis-Cataño; Daniela Arias-Rodríguez; Cristhian Romero-Dager; D Katterine Bonilla-Aldana; Alfonso J Rodriguez-Morales
Journal:  J Hosp Infect       Date:  2022-07-11       Impact factor: 8.944

  2 in total

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