A Python package for analyzing pandemic response measures
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simpar (SIMulate PAndemic Response) simulates the spread of a disease through a heterogeneous population using an SIR model. The groups 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. The Strategy class is used to define a potential strategy. The 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 Trajectory class offers methods to compute metrics on a simulation of some strategy applied to a scenario. For more details, see the Documentation.