Arnot, M;
Brandl, E;
Campbell, OLK;
Chen, Y;
Du, J;
Dyble, M;
Emmott, EH;
... Zhang, H; + view all
(2020)
How evolutionary behavioural sciences can help us understand behaviour in a pandemic.
Evolution, Medicine, and Public Health
, 2020
(1)
pp. 264-278.
10.1093/emph/eoaa038.
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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 focusing 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 decision-making in the face of a pandemic.
Type: | Article |
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Title: | How evolutionary behavioural sciences can help us understand behaviour in a pandemic |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1093/emph/eoaa038 |
Publisher version: | https://doi.org/10.1093/emph/eoaa038 |
Language: | English |
Additional information: | Copyright © The Author(s) 2020. Published by Oxford University Press on behalf of the Foundation for Evolution, Medicine, and Public Health. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
Keywords: | behavioural ecology, cultural evolution, COVID-19, lockdown, social distancing, behaviour change |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL SLASH UCL > Provost and Vice Provost Offices > UCL SLASH > Faculty of S&HS UCL > Provost and Vice Provost Offices > UCL SLASH > Faculty of S&HS > Dept of Anthropology |
URI: | https://discovery.ucl.ac.uk/id/eprint/10113200 |
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