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This is a behavioral state model which allows for time varying EIP and survival probability. Mosquitoes transition between blood feeding (B) and oviposition (Q) depending on the success (or not) of those biological activities. It complies with the mosquito component interface, and may be simulated deterministically or stochastically.

Usage

setup_mosquito_BQ(
  model,
  stochastic,
  eip,
  pB,
  pQ,
  psiQ,
  Psi_bb,
  Psi_bq,
  Psi_qb,
  Psi_qq,
  nu = 25,
  M,
  Y
)

Arguments

model

an object from make_MicroMoB

stochastic

should the model update deterministically or stochastically?

eip

the Extrinsic Incubation Period (may be time varying see time_varying_parameter)

pB

daily survival probability during blood feeding (may be time and patch varying see time_patch_varying_parameter)

pQ

daily survival probability during oviposition (may be time and patch varying see time_patch_varying_parameter)

psiQ

oviposition success probability (may be time and patch varying see time_patch_varying_parameter)

Psi_bb

movement matrix from blood feeding haunts to blood feeding haunts (columns must sum to 1, p rows and columns)

Psi_bq

movement matrix from blood feeding haunts to aquatic habitats (columns must sum to 1, l rows and p columns)

Psi_qb

movement matrix from aquatic habitats to blood feeding haunts (columns must sum to 1, p rows and l columns)

Psi_qq

movement matrix from aquatic habitats to aquatic habitats (columns must sum to 1, l rows and columns)

nu

number of eggs laid per oviposition

M

number of susceptible mosquitoes (vector of length p + l)

Y

number of incubating mosquitoes (matrix with p + l rows and maxEIP + 1 columns)

Value

no return value