Setup generalized Ross-Macdonald mosquito model — setup_mosquito

This is a generalized RM model which allows for time varying EIP and survival probability. It complies with the mosquito component interface, and may be simulated deterministically or stochastically.

Usage

setup_mosquito_RM(
  model,
  stochastic,
  f = 0.3,
  q = 0.9,
  eip,
  p,
  psi,
  nu = 25,
  M,
  Y,
  Z,
  N = NULL
)

Arguments

model: an object from make_MicroMoB
stochastic: should the model update deterministically or stochastically?
f: the blood feeding rate
q: the human blood feeding fraction
eip: the Extrinsic Incubation Period (may be time varying see time_varying_parameter)
p: daily survival probability (may be time and patch varying see time_patch_varying_parameter)
psi: a mosquito dispersal matrix (rows must sum to 1)
nu: number of eggs laid per oviposition
M: total mosquito density per patch (vector of length p)
Y: density of incubating mosquitoes per patch (vector of length p)
Z: density of infectious mosquitoes per patch (vector of length p)
N: l by p matrix describing how eggs from mosquitoes in patches are distributed amongst aquatic habitats. If NULL it is the identity matrix of dimension l.

Value

no return value