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Journal Articles Evolution, Medicine, and Public Health Year : 2020

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

Megan Arnot
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Eva Brandl
  • Function : Author
Olk Campbell
  • Function : Author
Yuan Chen
  • Function : Author
Juan Du
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Mark Dyble
  • Function : Author
Emily Emmott
  • Function : Author
Erhao Ge
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Luke Kretschmer
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Ruth Mace
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Sarah Nila
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Sarah Peacey
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Gul Deniz Salali
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Hanzhi Zhang
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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.

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hal-03081477 , version 1 (18-12-2020)

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Megan Arnot, Eva Brandl, Olk Campbell, Yuan Chen, Juan Du, et al.. How evolutionary behavioural sciences can help us understand behaviour in a pandemic. Evolution, Medicine, and Public Health, 2020, eoaa038, pp.264-268. ⟨10.1093/emph/eoaa038⟩. ⟨hal-03081477⟩
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