Author ORCID Identifier
https://orcid.org/0000-0002-3673-8619
Date of Award
12-14-2021
Degree Type
Thesis
Degree Name
Master of Science (MS)
Department
Mathematics and Statistics
First Advisor
Dr. Yi Jiang
Second Advisor
Dr. Alexandra Smirnova
Third Advisor
Dr. Ighor Belykh
Abstract
Vaccine hesitancy, resulting from bad information, threatens the possibility of ending the COVID-19 pandemic through mass vaccination. The COVID-19 pandemic coincides with an overabundance of controversial information regarding disease transmission and public health mitigation approaches. We investigate a phenomenological co-evolution of pandemic and infodemic in the context of COVID-19 with an emphasis on evolutionary game theory. Using bifurcation analysis, we determine the limit cycle boundaries and the separation of attraction between stable foci of infection and periodic outbreaks of infection. Our results suggest that low risk perception of vaccination relative to infection is not sufficient to eradicate the disease; promotion of quarantine methods or targeted mitigation of the spread of corona-misinformation is necessary to drive the system to disease free equilibrium.
DOI
https://doi.org/10.57709/26659402
Recommended Citation
Morciglio, Anthony, "A Mathematical Model for Co-Evolution of Pandemic and Infodemic with Vaccine." Thesis, Georgia State University, 2021.
doi: https://doi.org/10.57709/26659402
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