In 2022, worldwide mpox outbreaks have called attention to mpox virus infection and treatment opportunities using the drugs cidofovir and tecovirimat, which target different stages of in-host viral proliferation, respectively production and shedding. We propose a new model of in-host viral infection dynamics that distinguishes between the two stages, so as to explore the distinct effects of the two drugs, and we analyse the model properties and behaviour. Reducing the model order via timescale separation is shown to lead to the classical target-cell limited model, with a lumped viral proliferation rate depending on both production and shedding. We explicitly introduce the effect of the two drugs and we exemplify how to formulate and solve an optimal control problem that leverages the model dynamics to schedule optimal combined treatments.
A Novel Viral Infection Model to Guide Optimal Mpox Treatment / de Jong, Maarten; Campana, Francesca Calà; Li, Pengfei; Pan, Qiuwei; Giordano, Giulia. - In: IEEE CONTROL SYSTEMS LETTERS. - ISSN 2475-1456. - 7:(2023), pp. 3145-3150. [10.1109/LCSYS.2023.3290208]
A Novel Viral Infection Model to Guide Optimal Mpox Treatment
Campana, Francesca CalàSecondo
;Giordano, Giulia
Ultimo
2023-01-01
Abstract
In 2022, worldwide mpox outbreaks have called attention to mpox virus infection and treatment opportunities using the drugs cidofovir and tecovirimat, which target different stages of in-host viral proliferation, respectively production and shedding. We propose a new model of in-host viral infection dynamics that distinguishes between the two stages, so as to explore the distinct effects of the two drugs, and we analyse the model properties and behaviour. Reducing the model order via timescale separation is shown to lead to the classical target-cell limited model, with a lumped viral proliferation rate depending on both production and shedding. We explicitly introduce the effect of the two drugs and we exemplify how to formulate and solve an optimal control problem that leverages the model dynamics to schedule optimal combined treatments.File | Dimensione | Formato | |
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