Dynamic Models in Epidemiology
The EpiDynamics Package
Partial immunity model that cycles (P 4.2).
Plot results of capm model functions
SEIR model (2.6).
SEIR model with 4 age classes and yearly aging (P 3.4).
SEIR model with n stages (P 3.5).
Simple SIR model (P 2.1).
SIR model with 2 age classes (P 3.3).
SIR model with 2 age classes (P 3.3).
SIR model with two types of imports (P 6.6).
SIR model with constant additive noise (P 6.1).
SIR model with births and deaths (P 2.2).
SIR model with carrier state (2.7).
SIR model with demographic stochasticity (P 6.4).
SIR model with disease induced mortality: Density-dependent transmissi...
SIR model with disease induced mortality: frequency-dependent transmis...
SIR model with partial immunity (P 4.1).
SIR model with Scaled additive noise (P 6.2).
SIR model with sinusoidal births (P 5.3).
SIR model with sinusoidal forcing (P 5.1).
SIR model with tau leap method (P 6.5).
SIR model with corrected term-time forcing (P 5.2).
SIR model for mosquito vectors (P 4.4).
Simple SIS model (P 2.5).
SIS model with 2 risk groups (P 3.1).
SIS model with demographic stochasticity (P 6.3).
Rabbit Hemorrhagic Disease model with sinusoidal transmission rate and...
SIS model with multiple risk groups (P 3.2).
Pairwise SIS approximation model (P 7.8).
Mathematical models of infectious diseases in humans and animals. Both, deterministic and stochastic models can be simulated and plotted.