Several models are utilized to predict epidemic trends:
Compartmental models like SIR (Susceptible, Infected, Recovered) and SEIR (Susceptible, Exposed, Infected, Recovered) are commonly used. These models categorize the population into different compartments and study the transitions between them. Machine learning models are increasingly being used due to their ability to handle large datasets and complex patterns. Phylogenetic models analyze the genetic sequences of pathogens to understand their evolution and spread.
Each model has its strengths and limitations, and often a combination of models provides the best predictions.
