A novel viral infection model to guide optimal mpox treatment

Journal Article (2023)
Author(s)

M.N. de Jong (TU Delft - Team Tamas Keviczky)

Francesca Cala Campana (Università di Trento)

Pengfei Li (Erasmus MC)

Qiuwei Pan (Erasmus MC)

Giulia Giordano (Università di Trento)

Research Group
Team Tamas Keviczky
Copyright
© 2023 M.N. de Jong, Francesca Cala Campana, Pengfei Li, Qiuwei Pan, G. Giordano
DOI related publication
https://doi.org/10.1109/LCSYS.2023.3290208
More Info
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Publication Year
2023
Language
English
Copyright
© 2023 M.N. de Jong, Francesca Cala Campana, Pengfei Li, Qiuwei Pan, G. Giordano
Research Group
Team Tamas Keviczky
Volume number
7
Pages (from-to)
3145-3150
Reuse Rights

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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.