How a virus spread on a network is a really important topic and even more important is to classify the danger of a virus. With this goal in mind, we investigate the characteristics that define the most deadly virus. Moreover, we aim to provide a simplified discrete-time simulation, described by few parameters, as a straightforward alternative to more complex models of diseases diffusion. The simulation is used to model the spread of the infection, and the obtained results are then analyzed to understand how the virus' behavior varies by changing its characteristics and the network topology.
Virus Spread Modeling and Simulation: A Behavioral Parameters Approach and Its Application to Covid-19 / Cuzzocrea, Alfredo; Fadda, Edoardo. - 1:(2022), pp. 187-193. (Intervento presentato al convegno 24th International Conference on Enterprise Information Systems, ICEIS 2022 tenutosi a online nel April 25-27, 2022) [10.5220/0011055900003179].
Virus Spread Modeling and Simulation: A Behavioral Parameters Approach and Its Application to Covid-19
Fadda, Edoardo
2022
Abstract
How a virus spread on a network is a really important topic and even more important is to classify the danger of a virus. With this goal in mind, we investigate the characteristics that define the most deadly virus. Moreover, we aim to provide a simplified discrete-time simulation, described by few parameters, as a straightforward alternative to more complex models of diseases diffusion. The simulation is used to model the spread of the infection, and the obtained results are then analyzed to understand how the virus' behavior varies by changing its characteristics and the network topology.File | Dimensione | Formato | |
---|---|---|---|
110559.pdf
accesso aperto
Tipologia:
2a Post-print versione editoriale / Version of Record
Licenza:
Creative commons
Dimensione
1.77 MB
Formato
Adobe PDF
|
1.77 MB | Adobe PDF | Visualizza/Apri |
Pubblicazioni consigliate
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
https://hdl.handle.net/11583/2990666