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.
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.
Strategy class is used to define a potential strategy. The
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.