interventions

Specify the core interventions available in Covasim. Other interventions can be defined by the user by inheriting from these classes.

Classes

Intervention	Base class for interventions.
dynamic_pars	A generic intervention that modifies a set of parameters at specified points in time.
sequence	This is an example of a meta-intervention which switches between a sequence of interventions.
change_beta	The most basic intervention -- change beta (transmission) by a certain amount on a given day or days.
clip_edges	Isolate contacts by removing them from the simulation.
test_num	Test the specified number of people per day.
test_prob	Assign each person a probability of being tested for COVID based on their symptom state, quarantine state, and other states.
contact_tracing	Contact tracing of people who are diagnosed.
simple_vaccine	Apply a simple vaccine to a subset of the population.
BaseVaccination	Apply a vaccine to a subset of the population.
vaccinate_prob	Probability-based vaccination
vaccinate_num	This vaccine intervention allocates vaccines in a pre-computed order of distribution, at a specified rate of doses per day.
historical_vaccinate_prob	Probability-based historical vaccination
historical_wave	Imprint a historical (pre t=0) wave of infections in the population NAbs

Functions

InterventionDict	Generate an intervention from a dictionary.
vaccinate	Wrapper function for vaccinate_prob() and vaccinate_num().
prior_immunity	Wrapper function for historical_wave and historical_vaccinate_prob.