Estimate ODE Intervention outcomes

Simulating the outcomes of the ODE system when an intervention of some intensity gamma_post is applied at some time point given the threshold of detection and applied at some delay from identification.

Usage

run_intervention_ode(
  r0_in = 1.2,
  gamma_in = 1/1.15,
  gamma_post = 1/(12/24),
  sim_duration = 120,
  kappa = 1/7,
  delay_time = 7,
  s_ini = 500 - 1,
  i_ini = 1,
  r_ini = 0,
  ...
)

Arguments

r0_in

R0 input

gamma_in

pre-intervention gamma

gamma_post

post-intervention gamma

sim_duration

how long to run simulation

kappa

the symptomatc duration

delay_time

the time to delay an intervention

s_ini

the initial size

i_ini

the initial infected

r_ini

the initial recovered

...

Arguments passed on to detect_infections_ode

model

a solution from an ODE

prop_symptomatic

a numeric indicating the proportion threshold for detection considering only those in the "B" class or symptomatic.

prop_production_drop

a numeric indicating the proportion drop in production to indicate an outbreak

n_detected

a numeric indicating the number of detected infections which considers all of those invididuals existing in the R, I, and B classes.

n_infected

a numeric indicating the number of actively infected individuals before detection occurs.

Value

a tibble containing the outputs from the deSolve package of the ode include the intervention.