run_scenario: Run a single hospital census scenario

In rplzzz/CovMitigation: COVID-19 infection model for Virginia

Description

Run a hospital census scenario for a single set of model parameters. Results for several projected variables will be returned in a single data frame.

Usage

run_scenario(
  timevals,
  params = list(),
  counties = NULL,
  scenarioName = "communityInfection"
)

Arguments

timevals	Times to output values for. If only a single value is provided, it is assumed to be a maximum time (days) to run to, and values will be output in one day steps from 0 to tmax.
params	List of parameter values, see details
counties	If provided, run just these counties
scenarioName	Name for the scenario; this will be copied into results

Details

The results returned will be:

• New community infections in the selected counties

• New symptomatic community infections in the selected counties

• Total infected population in the selected counties

• Symptomatic infected population in the selected counties

• Recovered population in the selected counties

• Remaining susceptible population in the selected counties

• Cumulative infected population (includes those who later recovered)

• Cumulative infected share of population (includes recovered)

• UVA market share of symptomatic infections

The parameters for the model are:

eta

(scalar) base value for initial transmissivity

xi

(scalar) coefficient for population density in initial transmissivity

D0

(scalar) Base recovery time. Average base recovery time for an infected person.

A0

(scalar) Base incubation time. Average tie for an exposed person to become infected.

(various time lags)

Time after infection for various events (RTS for details)

(a whole slew of others)

see definition of param_defaults for definitions

Value

Data frame with results (see details) over time

See Also

run_parms

rplzzz/CovMitigation documentation built on June 7, 2021, 8:48 a.m.