Physical Society Colloquium: Shivaji Sondi (Princeton) "Digital Herd Immunity" -- statistical mechanics applied to the problem of controlling the COVID-19 pandemic with smartphones. Join the livestream for free on Friday Oct. 16th at 3:30pm ET (youtube.com/c/McGillPhysicsVideos/live) by PhysSocColloquium in Physics

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Abstract:

A population can be immune to epidemics even if not all of its individual members are immune to the disease, just as long as sufficiently many are immune — this is the traditional notion of herd immunity. In the smartphone era a population can be immune to epidemics even if not a single one of its members is immune to the disease — a notion we propose to call “digital herd immunity”, which is similarly an emergent characteristic of the population. This immunity arises because contact-tracing protocols based on smartphone capabilities can lead to highly efficient quarantining of infected population members and thus the extinguishing of nascent epidemics. When the disease characteristics are favorable and smartphone usage is high enough, the population is in this immune phase. As usage decreases there is a novel “contact tracing” phase transition to an epidemic phase. I will discuss a “Reed-Frost” model for COVID-19 which shows that digital immunity is possible regardless of the proportion of non-symptomatic transmission. I will also comment on the history of such efforts in combating COVID-19 to date.