We present a class of models devoted to the spreading of a virus, inspired by the recent pandemics. Key features are the ability to comprehend age structure, spatial movements, social distancing policies and the effects of different vaccines. Balance laws, possibly with non local boundary conditions or source terms are the basic analytical tools. Numerical integration allows to compare different realistic scenarios, underlining the effects, for instance, of events provoking the concentration of a high number of individuals.
Hyperbolic Techniques in Epidemiological Modeling / Colombo, R. M.; Garavello, M.; Marcellini, F.; Rossi, E.. - 35:(2024), pp. 325-334. (Intervento presentato al convegno HYP2022 tenutosi a Málaga, Spain nel June 20–24, 2022) [10.1007/978-3-031-55264-9_28].
Hyperbolic Techniques in Epidemiological Modeling
Rossi E.
2024
Abstract
We present a class of models devoted to the spreading of a virus, inspired by the recent pandemics. Key features are the ability to comprehend age structure, spatial movements, social distancing policies and the effects of different vaccines. Balance laws, possibly with non local boundary conditions or source terms are the basic analytical tools. Numerical integration allows to compare different realistic scenarios, underlining the effects, for instance, of events provoking the concentration of a high number of individuals.
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