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MSc Thesis Defense Announcement of Simranpreet Kaur:"A Framework to Study the Impact of Interventions on Social Isolation during Pandemics using Multi-Agent Simulation "

Monday, May 17, 2021 - 13:00 to 15:00

SCHOOL OF COMPUTER SCIENCE 

The School of Computer Science is pleased to present… 

MSc Thesis Defense by: Simranpreet Kaur 

 
Date: Monday May 17, 2021 
Time:  1:00 pm – 3:00pm 
Passcode:  If interested in attending this event, contact the Graduate Secretary at csgradinfo@uwindsor.ca
 

Abstract:

The spread of the COVID-19 pandemic has posed detrimental effects worldwide, affecting almost every primary sector. Interventions are imposed by government and health organizations like lockdown, social distancing, and quarantine to limit the spread of COVID-19. As a consequence of these interventions, the number of social gatherings and other outside activities is limited; individuals experience feelings of loneliness and social isolation from the external world. Hence, we propose an Agent-based framework to study the impact of these interventions on the extent of social isolation before and during the COVID-19 pandemic. While considering two classes of agents based on their movement: High Mobility and Low Mobility during simulation, these agents may belong to any of the four states: Susceptible, Infected, Recovered, and Dead, according to their changing health status following the SEIR model. Moreover, the infected class of agents is further divided into five sub-states given by: Asymptomatic, Quarantine, Hospitalized, Waitlist and ICU. Numerous parameters and metrics are utilized for computing the relation between them and the levels of social isolation at different times, and the model is evaluated based on the baseline scenario, which emulates the situation before COVID-19. This model may benefit policymakers, health professionals, or researchers in modeling similar health problems during other pandemic or epidemic situations. 
 
Keywords: Social Isolation, Pandemic, Agent-Based Modeling, Artificial Intelligence 
 

MSc Thesis Committee:  

Internal Reader: Dr. Saeed Samet              
External Reader: Dr. Kathryn Pfaff            
Advisor: Dr. Pooya Moradian Zadeh 
Chair:    Dr. Kalyani Selvarajah 
 

MSc Thesis Defense Announcement    Vector Institute artificial intelligence approved topic logo

 

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