Figures 5, 6, and 7 show different levels of lockdown based on the policies. These results are using QGIS to locate the University of Connecticut, arranged with 1000 individuals for 200 days. It is essential to know that we assume there will be an intersection between individuals in the day and night. Thus, we are simulating 200 steps, which are 100 days. We are using the parameters 0.6024 and 0.6265 as the infectious rate and recovery rate. To run the simulation, we are adjusting six different parameters according to different policies. The baseline scenario shown in Figure 5 displays that all the parameters are set to zero, which means the whole campus and public places are locked down. After 200 days, we can see 27% infected, 14% recovered, and 592 out of 1000 individuals are still in suspected status. Figure 6 presents a phase 2 reopening policy in Connecticut, with up to 50% capacity indoors with 6 feet social distancing. The results show the infected and recovery rates are 30% and 18%, and 520 out of 1000 individuals are in susceptible status. Depending on phase 3 reopening policy from the Connecticut government, we adjust the parameters and run the third case (Figure 7), which up to 75% capacity indoors, including restaurants, personal services, and libraries. The results display that 498 out of 1000 individuals are in susceptible status, and the infection rate and recovery rate are 35% and 15%. Based on these results, it is clear that case 3 has higher risks and infection rates than the baseline case and case 2.