seirt

SEIR (Susceptible-Exposed-Infectious-Recovered) is a compartmental model used in epidemiology to describe the spread of infectious diseases. It is an extension of the SIR (Susceptible-Infectious-Recovered) model, which does not account for the incubation period of the disease. The SEIR model divides the population into four distinct groups: Susceptible, Exposed, Infectious, and Recovered.

Susceptible individuals are those who have not been infected with the disease and are at risk of becoming infected. Exposed individuals have been infected but are not yet infectious. This period, known as the incubation period, allows the virus to replicate and spread within the body. Infectious individuals are those who can spread the disease to others. Recovered individuals have had the disease and have developed immunity, meaning they cannot be infected again.

The SEIR model is particularly useful for diseases with a significant incubation period, such as measles, mumps, and COVID-19. It helps in understanding the dynamics of disease spread, including the impact of interventions like vaccination and social distancing. The model is governed by a set of differential equations that describe the transitions between the different compartments.

The SEIR model can be extended to include additional compartments, such as a vaccinated group or a group that has been hospitalized. This allows for more complex scenarios to be modeled, providing a more accurate representation of real-world disease dynamics.