Mathematical epidemic models are crucial tools to understand, analyze, predict, and control infectious diseases. The Susceptible-Infected-Recovered (SIR) model is a basic compartment model, describing how an infectious disease propagates through a population. The problem is formulated as a system of three nonlinear, first order differential equations in which three compartments (S, I, and R) of the population are linked. The application of this model is not limited to epidemic modeling. It has been applied to describe malware propagation, viral marketing, social networking, etc. In this project, we explore an application of the SIR model in a social campaign scenario.
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