Arnot, Megan, Brandl, Eva, Campbell, OLK, Chen, Yuan, Du, Juan, Dyble, Mark, Emmott, Emily, Ge, Erhao, Kretschmer, Luke, Mace, Ruth, Micheletti, Alberto J. C., Nila, Sarah, Peacey, Sarah, Salali, Gul Deniz and Zhang, Hanzhi (2020) How evolutionary behavioural sciences can help us understand behaviour in a pandemic. Evolution, Medicine, and Public Health (eoaa038).

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Identification Number : 10.1093/emph/eoaa038


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.

Item Type: Article
Language: English
Date: October 2020
Refereed: Yes
Divisions: TSE-R (Toulouse)
Site: UT1
Date Deposited: 26 Nov 2020 13:48
Last Modified: 18 Jul 2023 08:51
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