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.
Maintainer: Henry Ngo Henry.Ngo@gov.bc.ca
Authors:
Rebeca Cardim Falcão
Michael Otterstatter
Other contributors:
Michael Irvine [contributor]
Ioana Sevcenco [contributor]
Caroline Colijn [contributor]
Daniel Coombs [contributor]
Province of British Columbia [copyright holder]
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.