models of disease spread

Models of disease spread use mathematical formulas to predict how infections move through populations. They consider factors like how contagious a disease is, how many people are susceptible, and how individuals interact. Common models include the SIR model, which divides people into Susceptible, Infected, and Recovered groups, showing how the disease evolves over time. These models help public health officials understand potential outbreak scenarios, evaluate control strategies, and allocate resources effectively. While they simplify complex interactions, they provide valuable insights into the dynamics of infectious diseases and assist in planning responses.