3
Explain

SEIR and More Complex Models

Learning Objectives

The SEIR Model

Many diseases have a latent period where individuals are infected but not yet infectious:

S

Susceptible

E

Exposed

I

Infectious

R

Recovered

SEIR Equations

dS/dt = -beta * S * I / N

dE/dt = beta * S * I / N - sigma * E

dI/dt = sigma * E - gamma * I

dR/dt = gamma * I

Where sigma = 1/(latent period) is the rate at which exposed individuals become infectious.

Latent Periods for Common Diseases

DiseaseLatent PeriodInfectious Period
Influenza1-2 days3-5 days
COVID-193-5 days5-10 days
Measles8-12 days4-8 days
TuberculosisWeeks to yearsVariable

Activity: Compare SIR and SEIR

Extend your SIR spreadsheet model to include the E compartment:

  1. Use N = 1000, I(0) = 1, E(0) = 0, beta = 0.5, gamma = 0.1, sigma = 0.2
  2. Compare the timing and height of the epidemic peak
  3. How does the latent period affect the speed of the outbreak?
  4. What happens if sigma is very large (short latent period)?

Key Takeaway

The SEIR model adds biological realism by accounting for the latent period between infection and infectiousness. This delay affects the dynamics of outbreaks and is important for accurate prediction. The choice of model depends on the disease characteristics and the questions being asked.

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