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This project aims to collate mathematical models of infectious disease transmission, with implementations in R, Python, and Julia.
Categories of models include:
- Simple deterministic models using ordinary differential equations
- Standard compartmental models
- Non-exponential distributions of infectious periods
- Delay differential equations
- Method of stages
- Infection-age models
- Simple stochastic models
- Gillespie's stochastic simulation algorithm
- Discrete time
- Stochastic differential equations
- Models with time-varying parameters
- Spatial models
- Network models
- Pair approximations
- Edge based models
- Applications to specific disease systems
Interactive notebooks are linked from the text, and can be found here.