In this paper, we propose a Boltzmann-type kinetic model of the spreading of an infectious disease on a network. The latter describes the connections among countries, cities or districts depending on the spatial scale of interest. The disease transmission is represented in terms of the viral load of the individuals and is mediated by social contacts among them, taking into account their displacements across the nodes of the network. We formally derive the hydrodynamic equations for the density and the mean viral load of the individuals on the network and we analyse the large-time trends of these quantities with special emphasis on the cases of blow-up or eradication of the infection. By means of numerical tests, we also investigate the impact of confinement measures, such as quarantine or localised lockdown, on the diffusion of the disease on the network.

A viral load-based model for epidemic spread on spatial networks / Loy, Nadia; Tosin, Andrea. - In: MATHEMATICAL BIOSCIENCES AND ENGINEERING. - ISSN 1551-0018. - ELETTRONICO. - 18:5(2021), pp. 5635-5663. [10.3934/mbe.2021285]

A viral load-based model for epidemic spread on spatial networks

Loy, Nadia;Tosin, Andrea
2021

Abstract

In this paper, we propose a Boltzmann-type kinetic model of the spreading of an infectious disease on a network. The latter describes the connections among countries, cities or districts depending on the spatial scale of interest. The disease transmission is represented in terms of the viral load of the individuals and is mediated by social contacts among them, taking into account their displacements across the nodes of the network. We formally derive the hydrodynamic equations for the density and the mean viral load of the individuals on the network and we analyse the large-time trends of these quantities with special emphasis on the cases of blow-up or eradication of the infection. By means of numerical tests, we also investigate the impact of confinement measures, such as quarantine or localised lockdown, on the diffusion of the disease on the network.
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11583/2908454