Modeling Quarantine During Epidemics and Mass-testing Using Drones

Overview

Journal PLoS One

Specialties General Medicine
Science

Date 2020 Jun 25

PMID 32579590

Citations 7

Authors

Leonid Sedov

Alexander Krasnochub

Valentin Polishchuk

Affiliations

Soon will be listed here.

Abstract

We extend the classical SIR epidemic spread model by introducing the "quarantined" compartment. We solve (numerically) the differential equations that govern the extended model and quantify how quarantining "flattens the curve" for the proportion of infected population over time. Furthermore, we explore the potential of using drones to deliver tests, enabling mass-testing for the infection; we give a method to estimate the drone fleet needed to deliver the tests in a metropolitan area. Application of our models to COVID-19 spread in Sweden shows how the proposed methods could substantially decrease the peak number of infected people, almost without increasing the duration of the epidemic.

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Drone Use for COVID-19 Related Problems: Techno-solutionism and its Societal Implications.

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