Disease spread models

Disease spread models are mathematical tools used to understand how infectious diseases propagate within populations. They analyze factors such as infection rates, recovery times, and population behavior to predict how a disease spreads over time. Common models include the SIR model, which categorizes individuals as Susceptible, Infected, or Recovered. By simulating different scenarios, these models help public health officials make informed decisions on prevention and control measures, such as vaccination strategies and social distancing, ultimately aiming to mitigate outbreaks and protect communities.