How Do Computational Models Assist in Epidemiology?
Computational models are indispensable tools in epidemiology for simulating the spread of infectious diseases. Models such as SEIR (Susceptible, Exposed, Infectious, Recovered) and agent-based models allow researchers to simulate different scenarios and measure the potential impact of various interventions. These models help in decision-making and policy formulation by providing insights into the dynamics of disease transmission.
