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How evolutionary behavioural sciences can help us understand behaviour in a pandemic

Author

Listed:
  • Megan Arnot
  • Eva Brandl
  • Olk Campbell
  • Yuan Chen
  • Juan Du
  • Mark Dyble
  • Emily Emmott
  • Erhao Ge
  • Luke Kretschmer
  • Ruth Mace
  • Alberto J. C. Micheletti

    (TSE-R - Toulouse School of Economics - UT Capitole - Université Toulouse Capitole - UT - Université de Toulouse - EHESS - École des hautes études en sciences sociales - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement)

  • Sarah Nila
  • Sarah Peacey
  • Gul Deniz Salali
  • Hanzhi Zhang

Abstract

The COVID-19 pandemic has brought science into the public eye and to the attention of governments more than ever before. Much of this attention is on work in epidemiology, virology, and public health, with most behavioural advice in public health focussing squarely on ‘proximate' determinants of behaviour. While epidemiological models are powerful tools to predict the spread of disease when human behaviour is stable, most do not incorporate behavioural change. The evolutionary basis of our preferences and the cultural evolutionary dynamics of our beliefs drive behavioural change, so understanding these evolutionary processes can help inform individual and government decisionmaking in the face of a pandemic.

Suggested Citation

  • Megan Arnot & Eva Brandl & Olk Campbell & Yuan Chen & Juan Du & Mark Dyble & Emily Emmott & Erhao Ge & Luke Kretschmer & Ruth Mace & Alberto J. C. Micheletti & Sarah Nila & Sarah Peacey & Gul Deniz Sa, 2020. "How evolutionary behavioural sciences can help us understand behaviour in a pandemic," Post-Print hal-03081477, HAL.
    • Handle: RePEc:hal:journl:hal-03081477
    DOI: 10.1093/emph/eoaa038
    as

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    Citations

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    Cited by:

    1. Olga Semenova & Julia Apalkova & Marina Butovskaya, 2021. "Spatial and Social Behavior of Single and Coupled Individuals of Both Sexes during COVID-19 Lockdown Regime in Russia," IJERPH, MDPI, vol. 18(8), pages 1-15, April.
    2. Lorena G Barberia & Maria Leticia Claro Oliveira & Andrea Junqueira & Natália de Paula Moreira & Guy D. Whitten, 2021. "Should I stay or should I go? Embracing causal heterogeneity in the study of pandemic policy and citizen behavior," Social Science Quarterly, Southwestern Social Science Association, vol. 102(5), pages 2055-2069, September.
    3. Sönke Ehret & Sara M. Constantino & Elke U. Weber & Charles Efferson & Sonja Vogt, 2022. "Group identities can undermine social tipping after intervention," Nature Human Behaviour, Nature, vol. 6(12), pages 1669-1679, December.
    4. Deka, Aniruddha & Bhattacharyya, Samit, 2022. "The effect of human vaccination behaviour on strain competition in an infectious disease: An imitation dynamic approach," Theoretical Population Biology, Elsevier, vol. 143(C), pages 62-76.

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