1. Proceedings
  2. I3M
  3. 2020
  4. IWISH
  5. 10.46354/i3m.2020.iwish.015

Epidemic Simulation based on Intelligent Agents

  • a Agostino G. Bruzzone , 
  • b Kirill Sinelshchikov, 
  • c Marina Massei
  • a,b SIM4Future, Simulation Team, via Trento 34, 16145, Genova, Italy 2 Simulation Team
  • a,b,c Università degli Studi di Genova, via Magliotto, 17100, Savona, Italy
Cite as
Bruzzone A.G., Sinelshchikov K., Massei M. (2020). Epidemic Simulation based on Intelligent Agents. Proceedings of the 9th International Workshop on Innovative Simulation for Healthcare (IWISH 2020), pp. 86-91. DOI: https://doi.org/10.46354/i3m.2020.iwish.015

Abstract

This paper proposes an evolution of a model devoted to simulate the behavior city population and to integrate it with an epidemic agent driven simulator able to evaluate its diffusion and impacts. In facts, this model results now capable to evaluate the epidemics behavior among inhabitants, check hypothesis regarding virus diffusion as well as identify possible effectiveness of countermeasures, such as block of mass gathering events, school closure and even lockdown.

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