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How to better communicate the exponential growth of infectious diseases

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  • Martin Schonger
  • Daniela Sele

Abstract

Exponential growth bias is the phenomenon whereby humans underestimate exponential growth. In the context of infectious diseases, this bias may lead to a failure to understand the magnitude of the benefit of non-pharmaceutical interventions. Communicating the same scenario in different ways (framing) has been found to have a large impact on people’s evaluations and behavior in the contexts of social behavior, risk taking and health care. We find that framing matters for people’s assessment of the benefits of non-pharmaceutical interventions. In two commonly used frames, most subjects in our experiment drastically underestimate the number of cases avoided by adopting non-pharmaceutical interventions. Framing growth in terms of doubling times rather than growth rates reduces the bias. When the scenario is framed in terms of time gained rather than cases avoided, the median subject assesses the benefit of non-pharmaceutical interventions correctly. These findings suggest changes that could be adopted to better communicate the exponential spread of infectious diseases.

Suggested Citation

  • Martin Schonger & Daniela Sele, 2020. "How to better communicate the exponential growth of infectious diseases," PLOS ONE, Public Library of Science, vol. 15(12), pages 1-13, December.
    • Handle: RePEc:plo:pone00:0242839
    DOI: 10.1371/journal.pone.0242839
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    References listed on IDEAS

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    Cited by:

    1. Ritwik Banerjee & Priyama Majumdar, 2023. "Exponential growth bias in the prediction of COVID‐19 spread and economic expectation," Economica, London School of Economics and Political Science, vol. 90(358), pages 653-689, April.

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