Simulates an epidemic outbreak with a branching process from a number of initial seed cases. Every simulated case has disease and intervention parameters stochastically drawn from user-provided distributions. These parameters determine which secondary cases occur, which in turn create the next generation of cases. This simulation implements modelling of interventions such as manual/conventional contact tracing, app-based contact tracing, quarantine, self-isolation, and reduction of contacts through physical distancing. This simulation also includes the option of adding new cases via importation, which may have different intervention policies. The simulation itself outputs a dataframe that summarizes every case generated during the course of the simulation. This can be used to generate metrics or other statistics across a large number of runs. Some example driver functions to do this are provided.
Package details |
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Maintainer | |
License | Apache License (== 2.0) | file LICENSE |
Version | 1.0.0 |
Package repository | View on GitHub |
Installation |
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