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Optimal Epidemic Control by Social Distancing and Vaccination of an Infection Structured by Time Since Infection: The COVID-19 Case Study

Alberto d’Onofrio, Mimmo Iannelli, Piero Manfredi, Gabriela Marinoschi

2023SIAM Journal on Applied Mathematics17 citationsDOIOpen Access PDF

Abstract

Motivated by the issue of COVID-19 mitigation, in this work we tackle the general problem of optimally controlling an epidemic outbreak of a communicable disease structured by time since exposure, by the aid of two types of control instruments namely, social distancing and vaccination by a vaccine at least partly effective in protecting from infection. Effective vaccines are assumed to be made available only in a subsequent period of the epidemic so that - in the first period - epidemic control only relies on social distancing, as it happened for the COVID-19 pandemic. By our analyses, we could prove the existence of (at least) one optimal control pair, we derived first-order necessary conditions for optimality, and proved some useful properties of such optimal solutions. A worked example provides a number of further insights on the relationships between key control and epidemic parameters.

Topics & Concepts

Social distanceCoronavirus disease 2019 (COVID-19)VaccinationVirologyDistancing2019-20 coronavirus outbreakSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Epidemic modelPandemicEpidemic controlMedicineEnvironmental healthOutbreakPopulationDiseaseInfectious disease (medical specialty)PathologyCOVID-19 epidemiological studiesVaccine Coverage and HesitancySARS-CoV-2 and COVID-19 Research
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