simpar (SIMulate PAndemic Response) simulates the spread of a disease through a
heterogeneous population using an SIR model. The
module can be used to manage a heterogeneous population comprised of
“meta-groups” with varying contact levels. The tool focuses on providing
functionality for assessing pandemic response strategies such as isolation
protocols, testing regimes (with varying tests), and vaccination requirements.
simpar.strategy.Strategy class is used to define a potential
simpar.scenario.Scenario class is used to manage the
parameters pertaining to a scenario under which a disease is spreading. This
consists of a population, environment parameters (e.g. outside rate of
infection), and disease parameters (e.g. symptomatic rate). Lastly, the
simpar.trajectory.Trajectory class offers methods to compute
metrics on a simulation of some strategy applied to a scenario.
To install simpar, see Installation. For a detailed description of the model used to simulate disease spread, see Model. It is recommended for both users and those interested in developing to read this section. Lastly, for an overview of the package structure and the complete documentation, see Documentation.