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

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