4.2 Article

Misinformation making a disease outbreak worse: outcomes compared for influenza, monkeypox, and norovirus

Publisher

SAGE PUBLICATIONS LTD
DOI: 10.1177/0037549719885021

Keywords

Agent-based models; norovirus; influenza; monkeypox; fake news; social networks

Funding

  1. NIHR Health Protection Research Unit in Emergency Preparedness and Response
  2. NIHR Health Protection Research Unit in Gastrointestinal Infections
  3. PHE

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Health misinformation can exacerbate infectious disease outbreaks. Especially pernicious advice could be classified as fake news: manufactured with no respect for accuracy and often integrated with emotive or conspiracy-framed narratives. We built an agent-based model that simulated separate but linked circulating contagious disease and sharing of health advice (classified as useful or harmful). Such advice has potential to influence human risk-taking behavior and therefore the risk of acquiring infection, especially as people are more likely in observed social networks to share bad advice. We test strategies proposed in the recent literature for countering misinformation. Reducing harmful advice from 50% to 40% of circulating information, or making at least 20% of the population unable to share or believe harmful advice, mitigated the influence of bad advice in the disease outbreak outcomes. How feasible it is to try to make people immune to misinformation or control spread of harmful advice should be explored.

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