Date of Award
Master of Arts (MA)
Felisa J. Vazquez-Abad
Academic Program Adviser
This study presents a process-oriented hybrid model for individuals' immune responses and interactions involving vaccination to describe the trend of contagious disease and estimate the future societal cost. The model considers "recovery" as a non-absorbing state and incorporates various infection stage states including two symptomatic states. To model contagiousness to be consistent with the current pandemic and include that the spread of a disease depends on the mobility of people, we developed an Agent-Based Simulator that fitted to the particular model used in this study and can test various what-if scenarios. We improved the simulator considerably by appying data structures tuned to the specific model used in this monograph. We believe that the simulator's performance exceeds existing packages for our particular model. For example, the simulator can deal with a population of one hundred (100) individuals over more than 17,000 iterations in less than seven (7) seconds in CPU time.
Park, Gibeom, "ABM Simulation Model of a Pandemic for Optimizing Vaccination Strategy" (2022). CUNY Academic Works.