Department of Mathematics, Payame Noor University, Tehran, Iran.
10.22052/scj.2024.253185.1165
Abstract
In this article, with the help of agent-based modeling, we have investigated the way epidemic diseases are spread and transmitted (especially in small environments). In the reviewed model, the spatio-temporal transfer process is also considered for each agent. Also, the decision of the investigated agents will be based on the rules prepared for them. To define the main social characteristics as well as the health conditions used during the interaction of the agents with each other, an individual profile is predicted for each agent in the model. Based on what was obtained in the simulations, agent-based modeling has high capabilities in epidemic control (especially in small environments) and can be a valuable alternative to previous models.
Dadkhah, M., & Besharati, N. (2023). Agent-based models and their application in investigating the risks of epidemic disease transmission. Soft Computing Journal, (), -. doi: 10.22052/scj.2024.253185.1165
MLA
Mahmood Dadkhah; Nazli Besharati. "Agent-based models and their application in investigating the risks of epidemic disease transmission". Soft Computing Journal, , , 2023, -. doi: 10.22052/scj.2024.253185.1165
HARVARD
Dadkhah, M., Besharati, N. (2023). 'Agent-based models and their application in investigating the risks of epidemic disease transmission', Soft Computing Journal, (), pp. -. doi: 10.22052/scj.2024.253185.1165
VANCOUVER
Dadkhah, M., Besharati, N. Agent-based models and their application in investigating the risks of epidemic disease transmission. Soft Computing Journal, 2023; (): -. doi: 10.22052/scj.2024.253185.1165