Description Usage Arguments Value Author(s) Examples

View source: R/initial_condition_sib_model.R

`initial_condition_sib_model`

Compute Initial Condition for Function SIB_SS

1 2 3 4 5 6 7 8 | ```
initial_condition_sib_model(
POP_node,
sigma,
mu_B,
theta,
node_in,
in_prevalence = 0.001
)
``` |

`POP_node` |
vector, length represents number of cities/nodes; vector represents population at each node |

`sigma` |
symptomatic ratio, i.e., fraction of infected people that develop symptoms and are infective. (The remaining fraction enters directly the recovered compartment.) |

`mu_B` |
death rate of V.cholerae in the aquatic environment (day^-1) |

`theta` |
contamination rate |

`node_in` |
index/indices for initial infected node(s) |

`in_prevalence` |
initial prevalence of symptomatic infected in a node, default is 0.1% |

a 5 x number of nodes matrix, each row represents the following for all the nodes: Row 1: number of suspectible people, i.e., population excpect infected and recovered for each node; Row 2: number of infected people; Row 3: number of recovered people; Row 4: bacteria concentration in equilibrium with infected individuals; Row 2: number of infected people, but representing cumulative cases

Jun Li

1 2 3 4 5 6 7 |

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