Addressing infodemic for pandemic preparedness in the digital age
A focus on Middle Africa
Bibliographic Data
| ID | 22071869 |
|---|---|
| Authors | Marthe Bogne Penka (Institut Sous-Régional de Statistique et d'Economie Appliquée), Andrew Tangang, Andrew T Tangang (Institut Sous-Régional de Statistique et d'Economie Appliquée), Ernest Alang Wung (0000-0002-1353-1201, Université de Dschang), Mark Tata Kelese (University of Bamenda), Patrick Okwen (0000-0002-9017-7496, University of Bamenda, corresponding author) |
| Year | 2024 |
| Volume | 12 |
| Pages | 1275702-1275702 |
| Publication date | 2024-09-24 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Frontiers in Public Health (JOURNAL) |
| Journal identifiers | ISSN: 2296-2565 • E-ISSN: 2296-2565 |
| Publisher | Frontiers Media SA (PUBLISHER • CH) |
| DOI | 10.3389/fpubh.2024.1275702 |
| PMID | 39421813 |
| OpenAlex | W4402784305 |
| Language | EN |
| References cited | 20 |
Background: The 21st century has brought about a damaging information crisis, significantly challenging and undermining efforts to increase the uptake of scientific research evidence in both policy and practice. The World Health Organization (WHO) recognizes misinformation and disinformation as major drivers of pandemic spread and impact, dedicating a policy brief to pandemic preparedness on this issue. In this study, we examine the impact of mis/disinformation on the use of research evidence in public policy decision-making in West and Central Africa and reflect on how this can inform future pandemic preparedness. Objectives: What factors affect the uptake of scientific evidence during disease outbreaks in Africa? Methods: We used the JBI Scoping Review and Prevalence/Incidence Review methodologies to synthesize the best available evidence. A DELPHI survey was conducted in two stages: the first gathered experiences from policymakers, practitioners, and citizens in Cameroon, Nigeria, and Senegal regarding mis/disinformation and its impact. The second stage explored potential situations related to the issues identified in the first stage. Qualitative data analysis was conducted using MAXQDA. Results: = 4) of infodemic on policy design, implementation, and uptake. Online platforms were identified as the main source of infodemic in 53.3% of cases, compared to 46.7% attributed to offline platforms. We conclude that the severity of COVID-19 as a global pandemic has highlighted the dangers of mis/disinformation, with a considerable number of studies from Middle Africa demonstrating a significant negative impact on the uptake of health policies and to an extend evidence informed policy making. It is also imperative to consider addressing evidence hesitancy in citizens through innovative and indigenous approaches like storytelling. Discussions: Digital technologies, especially social media, play a key role in the propagation of infodemics. For future pandemic preparedness, stakeholders must consider using digital tools and platforms to prevent and mitigate pandemics. This study adds new evidence to the existing body of evidence, emphasizing the need to address infodemics within the context of future pandemic preparedness in Middle Africa
Alternative medicine · Delphi method · Disease · Disinformation · Economic growth · Environmental health · Evidence-based policy · Global health · Misinformation · Pandemic · Political science · Preparedness · Public health · Public relations · Social media · Computer Science · COVID-19 Digital Contact Tracing · Medicine · Misinformation and Its Impacts · Nursing · Vaccine Coverage and Hesitancy
Coronavirus
Severe acute respiratory syndrome coronavirus 2 (Sars-CoV-2) and coronavirus disease-2019 (Covid-19)
Combating Disinformation on Social Media
A call for citizen science in pandemic preparedness and response
Effects of misinformation on Covid-19 individual responses and recommendations for resilience of disastrous consequences of misinformation
A Concept Analysis of Cultural Sensitivity
"Fake News" Is Not Simply False Information
Community engagement with a postcolonial, African-based relational paradigm
Explaining Global Patterns of Language Diversity
| Highly cited | No |
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