How complex behavioural contagion can prevent infectious diseases from becoming endemic
Michael J. Plank, Matt Ryan, Lloyd Chapman, Roslyn I. Hickson, Thomas House, Emma McBryde, James M. McCaw

TL;DR
This paper models complex social contagion in behavioral responses to infectious diseases, showing how nonlinear behavior adoption can prevent diseases from becoming endemic through epidemic-triggered behavior change.
Contribution
It introduces a nonlinear behavioral contagion model with multiple equilibria, revealing conditions where behavior change can eliminate disease despite high transmission.
Findings
Multiple disease-free equilibria exist in the model.
Epidemic-triggered behavior can lead to disease elimination.
Higher basic reproduction numbers can sometimes result in disease eradication.
Abstract
Infectious disease transmission in human populations has a complex two-way interaction with changes in host behaviour. It is increasingly recognised that incorporating adaptive behavioural change into epidemic models is important for improving understanding of infectious disease dynamics and developing policy-relevant modelling tools. An important aspect of behavioural dynamics is social contagion, where people tend to adopt behaviours exhibited by others around them. In a simple behavioural contagion model, the behaviour uptake rate increases linearly with the number of contacts who have adopted a given behaviour. Here, we explore an epidemic model with complex behavioural contagion, where the behaviour uptake rate is a nonlinear function of the number of behaving contacts. We identify key bifurcation parameters of the model, which include the basic reproduction number , the…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
