A basic model with several compartments to model vector-borne transmission
simulate_Vector_transmission_model_ode( Sh =1000, Ih =1, Rh =0, Sv =1000, Iv =1, b1 =0.003, b2 =0.003, g =2, w =0, n =200, m =0.1, tstart =0, tfinal =100, dt =0.1)
Arguments
Sh: : starting value for Susceptible hosts : numeric
Ih: : starting value for Infected hosts : numeric
Rh: : starting value for Recovered hosts : numeric
Sv: : starting value for Susceptible Vectors : numeric
Iv: : starting value for Infected Vectors : numeric
b1: : rate at which susceptible hosts are infected by vectors : numeric
b2: : rate at which susceptible vectors are infected by hosts : numeric
g: : recovery rate of hosts : numeric
w: : wanning immunity rate : numeric
n: : vector birth rate : numeric
m: : vector death rate : numeric
tstart: : Start time of simulation : numeric
tfinal: : Final time of simulation : numeric
dt: : Time step : numeric
Returns
The function returns the output as a list. The time-series from the simulation is returned as a dataframe saved as list element ts. The ts dataframe has one column per compartment/variable. The first column is time.
Details
The model tracks the dynamics of susceptible, infected, and recovered hosts, and susceptible and infected vectors. Infection, recovery, and waning immunity processes are implemented for hosts. Births and deaths and infection processes are implemented for vectors.
This code was generated by the modelbuilder R package. The model is implemented as a set of ordinary differential equations using the deSolve package. The following R packages need to be loaded for the function to work: deSolve.
Warning
This function does not perform any error checking. So if you try to do something nonsensical (e.g. have negative values for parameters), the code will likely abort with an error message.
Model Author
Andreas Handel
Model creation date
2020-09-01
Code Author
generated by the modelbuilder R package
Code creation date
2021-07-19
Examples
# To run the simulation with default parameters: result <- simulate_Vector_transmission_model_ode()# To choose values other than the standard one, specify them like this: result <- simulate_Vector_transmission_model_ode(Sh =2000,Ih =2,Rh =0,Sv =2000,Iv =2)# You can display or further process the result, like this: plot(result$ts[,'time'],result$ts[,'Sh'],xlab='Time',ylab='Numbers',type='l')print(paste('Max number of Sh: ',max(result$ts[,'Sh'])))