A Markov chain individual-based model for virus diffusion is investigated. Both the virus growth within an individual and the complexity of the contagion within a population are taken into account. A careful work of parameter choice is performed. The model captures very well the statistical variability of quantities like the incubation period, the serial interval and the time series of infected people in Tuscany towns.

Individual-based Markov model of virus diffusion: Comparison with COVID-19 incubation period, serial interval and regional time series

Flandoli F.;La Fauci E.;Riva M.
2021

Abstract

A Markov chain individual-based model for virus diffusion is investigated. Both the virus growth within an individual and the complexity of the contagion within a population are taken into account. A careful work of parameter choice is performed. The model captures very well the statistical variability of quantities like the incubation period, the serial interval and the time series of infected people in Tuscany towns.
2021
Settore MAT/06 - Probabilita' e Statistica Matematica
Cellular automaton; Covid-19; Incubation period; Markov chains; Multiscale modeling; Population graph; Serial interval; Social barriers; Uncertainty quantification
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11384/110172
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