`R/initial_condition_sib_model.R`

`initial_condition_sib_model.Rd`

`initial_condition_sib_model`

Compute Initial Condition for Function SIB_SS

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