A library containing algorithms to model population dynamics resulting from infectious diseases and more.
Project description
EpidemicsRunner API
CovPred is a Python library that provides various algorithms useful for modeling population dynamics inferred from e.g. infectious diseases. Amongst others, it is used by CovPred in this exact form.
Contents
Installation Notes
General
Just run pip-install covpred
Description
The following algorithms are currently implemented:
| Name | Description |
|---|---|
| SIR | Classical Susceptible-Infected-Recovered ODE Model augmented with a deceased class |
| SEIRD | Extended SIR model accounting for a new class (Exposed) amongst other additions |
| SEIRD_VARA | Extended SIR model paired with variable (over time) infection rate |
| SEIRD_CK | Coupled ODE SEIRD Model to model interaction between the ODE systems |
| SEIRD_PDE | A PDE formulation of the SEIRD model, discretized using Finite Differences |
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