👉 Virus math, often used in epidemiology, models the spread of infectious diseases using mathematical equations to predict how quickly a virus will infect a population. The SIR model, a classic example, divides the population into three compartments: Susceptible (S), Infected (I), and Recovered (R). The rate of change in each compartment is governed by differential equations: the rate at which susceptibles become infected is proportional to the product of the number of susceptibles and infected individuals, while the rate at which infected individuals recover is constant. This model helps estimate key metrics like the basic reproduction number (R0), which indicates how many people, on average, an infected person will infect in a fully susceptible population, guiding public health interventions to control outbreaks.
