A cellular automata model for simulating the epidemic dynamics of COVID-19 disease in a small city is given. In the model, people are allowed to leave and return to their homes, and the time of the peak in different quarantine conditions is estimated. It is shown that the removal of quarantine conditions, even one month after reaching the peak, increases the number of total infected and total dead cases significantly.
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