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info:eu-repo/semantics/altIdentifier/doi/10.1093/emph/eoaa038
Ce document est lié à :
info:eu-repo/semantics/altIdentifier/pmid/33318799
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Megan Arnot et al., « How evolutionary behavioural sciences can help us understand behaviour in a pandemic », HAL-SHS : économie et finance, ID : 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 ofbehaviour. While epidemiological models are powerful tools to predict the spread of disease whenhuman 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.