Models for digitally contact-traced epidemics
Chiara Boldrini, Andrea Passarella, Marco Conti

TL;DR
This paper reviews mathematical models of digital contact tracing for COVID-19, introduces a new SEIR model with closed-form epidemic control conditions, and finds that high app uptake and rapid testing are essential for effectiveness.
Contribution
It proposes a novel SEIR model with analytical conditions for epidemic control based on contact tracing app penetration and testing efficiency.
Findings
High app uptake (>80%) and rapid testing (~1 day turnaround) are needed for digital contact tracing to control COVID-19.
Digital contact tracing alone is rarely sufficient to tame an epidemic without additional measures.
The model provides clear, analytical conditions to guide decision makers in epidemic control strategies.
Abstract
Contacts between people are the absolute drivers of contagious respiratory infections. For this reason, limiting and tracking contacts is a key strategy for the control of the COVID-19 epidemic. Digital contact tracing has been proposed as an automated solution to scale up traditional contact tracing. However, the required penetration of contact tracing apps within a population to achieve a desired target in the control of the epidemic is currently under discussion within the research community. In order to understand the effects of digital contact tracing, several mathematical models have been proposed. In this article, we survey the main ones and we propose a compartmental SEIR model with which it is possible, differently from the models in the related literature, to derive closed-form conditions regarding the control of the epidemic as a function of the contact tracing apps…
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Taxonomy
TopicsCOVID-19 Digital Contact Tracing · COVID-19 epidemiological studies · Data-Driven Disease Surveillance
