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Adaptive behaviour during epidemics: a social risk appraisal approach to modelling dynamics
David O'Gara1, Matt Kasman2, Laurent Hébert-Dufresne3,4
1Division of Computational and Data Sciences, Washington University in St Louis, One Brookings Drive, St Louis, MO 63105, USA.
None:
The interaction of infectious diseases and behavioural responses to them has been the subject of widespread study. However, limited attention has been given to how broader social context shapes behavioural response. In this work, we propose a novel framework which combines two well-studied dynamic processes into a 'social risk appraisal' mechanism. Our proposed framework has both theoretical and empirical support, occupying an important middle ground in the interacting contagions literature. Results indicate that a risk appraisal framework can express a wide range of epidemic outcomes, driven by simple interaction rules. This framework has implications for designing containment strategies in disease outbreaks, as well as equity considerations. Finally, the risk appraisal approach is well-posed to engage with a broad set of literature in epidemic management, decision-making and the adoption of social behaviours.
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