View source: R/vector_control_parameters.R
set_spraying | R Documentation |
The model will apply indoor spraying at timesteps
to a random
sample of the entire human population. The sample size will be a proportion
of the human population taken from the corresponding coverages
.
The sample can contain humans who have already benefited from spraying.
If a human in the sample lives in a sprayed house, the efficacy of the spraying will be returned to the maximum.
The structure for the indoor residual spraying model is documented in the S.I. of 10.1038/s41467-018-07357-w
set_spraying(
parameters,
timesteps,
coverages,
ls_theta,
ls_gamma,
ks_theta,
ks_gamma,
ms_theta,
ms_gamma
)
parameters |
a list of parameters to modify |
timesteps |
the timesteps at which to spray |
coverages |
the proportion of the population who get indoor spraying |
ls_theta |
matrix of mortality parameters With nrows=length(timesteps), ncols=length(species) |
ls_gamma |
matrix of mortality parameters per timestep With nrows=length(timesteps), ncols=length(species) |
ks_theta |
matrix of feeding success parameters per timestep With nrows=length(timesteps), ncols=length(species) |
ks_gamma |
matrix of feeding success parameters per timestep With nrows=length(timesteps), ncols=length(species) |
ms_theta |
matrix of deterrence parameters per timestep With nrows=length(timesteps), ncols=length(species) |
ms_gamma |
matrix of deterrence parameters per timestep With nrows=length(timesteps), ncols=length(species) |
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