Vector Control

In broad terms, SimBA was developed to model malaria transmission as a changing baseline that is modified by control.

In SimBA, the way to build a model with vector control is to first build a model of transmission and then add vector control.

In ramp.xds, vector control is understood through modification of bionomic parameters in relation to coverage; but these parameters can be modified by something else. There are many ways to do this, so the software was designed to implement effects in order (see below).

Each mode of vector control works differently, corresponding to the way vector control is implemented. These are discussed in:

Other interventions are planned for future releases of ramp.control

Software Notes

An empty port for vector control is set up in ramp.xds that calls two functions. First, VectorControl and then, after calling several other functions, VectorControlEffectSizes. The function blocks are called in an order: VectorControl describes something that gets done

pars <- VectorControl(t, y, pars)
pars <- Resources(t, pars)
pars <- BloodFeeding(t, pars)
pars <- BaselineBionomics(t, y, pars)
pars <- BloodFeeding(t, y, pars)
pars <- EggLaying(t, y, pars)
pars <- VectorControlEffectSizes(t, y, pars)
pars <- Bionomics(t, y, pars)

These functions are set up to do nothing in ramp.xds. To implement vector control, you must load ramp.control.

In VectorControl.dynamic, functions are turned on to implement vector control:

pars = BedNet(t, pars)
pars = IRS(t, pars)
pars = AreaSpray(t, pars)
pars = SugarBaits(t, pars)
pars = LSM(t, pars)

In VectorControlEffectSizes.dynamic

pars <- BedNetCoverage(t, pars)
pars <- IRSCoverage(t, pars)
pars <- AreaSprayCoverage(t, pars)
pars <- SugarBaitCoverage(t, pars)
pars <- LSMCoverage(t, pars)

for(s in 1:pars$nVectors){
  pars <- BedNetEffectSizes(t, pars, s)
  pars <- IRSEffectSizes(t, pars, s)
  pars <- AreaSprayEffectSizes(t, pars, s)
  pars <- SugarBaitEffectSizes(t, pars, s)
  pars <- LSMEffectSizes(t, pars, s)
}