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The main objective of the study is to use Geographic Information System (GIS) and agent-based model (ABM) to simulate the dynamic spatial temporal spread of COVID-19, based on the interactions between people (agents) at the same settings. In this research, it is assumed that COVID-19 transmission depends on the availability of public transportation networks, open facilities, and population density. The ﬁrst two factors are considered as variables and can be changed within the model during the simulation process. The resulting map of critical areas, and ABM of COVID-19 spreading can be used as a tool to develop mitigation plans as well as the allocation of needed health facilities within the vulnerable areas.