Create a SISe model to be used by the simulation framework.
SISe(u0, tspan, events = NULL, phi = NULL, upsilon = NULL, gamma = NULL,
alpha = NULL, beta_t1 = NULL, beta_t2 = NULL, beta_t3 = NULL,
beta_t4 = NULL, end_t1 = NULL, end_t2 = NULL, end_t3 = NULL,
end_t4 = NULL, epsilon = NULL)A data.frame with the initial state in each node,
see details.
A vector (length >= 2) of increasing time points
where the state of each node is to be returned. Can be either
an integer or a Date vector. A Date
vector is coerced to a numeric vector as days, where
tspan[1] becomes the day of the year of the first year
of tspan. The dates are added as names to the numeric
vector.
a data.frame with the scheduled events, see
SimInf_model.
A numeric vector with the initial environmental infectious pressure in each node. Default NULL which gives 0 in each node.
Indirect transmission rate of the environmental infectious pressure
The recovery rate from infected to susceptible
Shed rate from infected individuals
The decay of the environmental infectious pressure in interval 1.
The decay of the environmental infectious pressure in interval 2.
The decay of the environmental infectious pressure in interval 3.
The decay of the environmental infectious pressure in interval 4.
The non-inclusive day of the year that ends interval 1.
The non-inclusive day of the year that ends interval 2.
The non-inclusive day of the year that ends interval 3.
The non-inclusive day of the year that ends interval 4.
The background environmental infectious pressure
SISe
The time dependent beta is divided into four intervals of the year
where 0 <= day < 365Case 1: END_1 < END_2 < END_3 < END_4 INTERVAL_1 INTERVAL_2 INTERVAL_3 INTERVAL_4 INTERVAL_1 [0, END_1) [END_1, END_2) [END_2, END_3) [END_3, END_4) [END_4, 365)
Case 2: END_3 < END_4 < END_1 < END_2 INTERVAL_3 INTERVAL_4 INTERVAL_1 INTERVAL_2 INTERVAL_3 [0, END_3) [END_3, END_4) [END_4, END_1) [END_1, END_2) [END_2, 365)
Case 3: END_4 < END_1 < END_2 < END_3 INTERVAL_4 INTERVAL_1 INTERVAL_2 INTERVAL_3 INTERVAL_4 [0, END_4) [END_4, END_1) [END_1, END_2) [END_2, END_3) [END_3, 365)
The argument u0 must be a data.frame with one row for
each node with the following columns:
The number of sucsceptible in each node
The number of infected in each node