Infectious Disease Models
Infectious disease models are mathematical frameworks used to understand how diseases spread within populations. These models help researchers predict the course of an outbreak by simulating various factors, such as transmission rates, recovery times, and immunity. They can inform public health strategies and interventions to control diseases like COVID-19 or influenza.
There are several types of infectious disease models, including SIR (Susceptible, Infected, Recovered) and SEIR (Susceptible, Exposed, Infected, Recovered) models. Each model categorizes individuals based on their disease status and uses differential equations to describe changes over time. This helps in assessing the potential impact of vaccination and other control measures.