Michael Frutschy, Tabitha Henriquez and Rebecah Leonard
On the evolutionary stability of a generalized SIS model with time-varying recovery rates
Abstract:
Seasonality plays a crucial role in the epidemiology of infectious diseases by influencing the pattern of disease incidence and prevalence. One can define seasonality as periodic changes in conditions on an annual basis (White & Hastings, 2020). Countless infectious diseases display fluctuations on account to variations in environmental conditions, human behavior, and pathogen dynamics. The Susceptible-Infectious-Susceptible (SIS) model is a fundamental framework used to study diseases where individuals can become reinfected after recovery (Windarto et al. 2015).Title
On the evolutionary stability of a generalized SIS model with time-varying recovery rates
Faculty Advisor
Dr. Scott Greenhalgh
Location
Table 4

