University of Kashan Soft Computing Journal 2322-3707 13 1 2024 08 22 Agent-based models and their application in investigating the risks of epidemic disease transmission Agent-based models and their application in investigating the risks of epidemic disease transmission 108 121 114260 10.22052/scj.2024.253185.1165 FA Mahmood Dadkhah Department of Mathematics, Payame Noor University, Tehran, Iran. Nazli Besharati Department of Mathematics, Payame Noor University, Tehran, Iran. Journal Article 2023 07 05 The outbreak of the COVID-19 pandemic in the world once again faced the governments and local officials with a big and unexpected challenge. Examining all aspects of this epidemic brought experts from different fields, especially mathematics, into the field of fighting this challenge. In the meantime, mathematical modeling of disease transmission has gained double importance due to its simple and understandable nature as well as its proven ability to help solve such issues. Different models presented for different diseases increase the power of investigation and prevention of dangerous epidemics. In this article, with the help of agent-based models, we have investigated the spread and transmission of epidemic diseases (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. Due to the good flexibility of the stated model, different numerical simulations have been implemented with it. From what was obtained in this research, it can be seen that in order to control and deal with epidemic diseases, especially in small environments, several factors must be taken seriously, of which, serious and severe restrictions on the movement of agents, their gatherings and the observance of health and protective instructions (for example, using a mask and quarantine agents) cab be pointed out.  The outbreak of the COVID-19 pandemic in the world once again faced the governments and local officials with a big and unexpected challenge. Examining all aspects of this epidemic brought experts from different fields, especially mathematics, into the field of fighting this challenge. In the meantime, mathematical modeling of disease transmission has gained double importance due to its simple and understandable nature as well as its proven ability to help solve such issues. Different models presented for different diseases increase the power of investigation and prevention of dangerous epidemics. In this article, with the help of agent-based models, we have investigated the spread and transmission of epidemic diseases (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. Due to the good flexibility of the stated model, different numerical simulations have been implemented with it. From what was obtained in this research, it can be seen that in order to control and deal with epidemic diseases, especially in small environments, several factors must be taken seriously, of which, serious and severe restrictions on the movement of agents, their gatherings and the observance of health and protective instructions (for example, using a mask and quarantine agents) cab be pointed out.  https://scj.kashanu.ac.ir/article_114260_957e33f23ff29462807a7125a2f4c4bd.pdf