These datasets include the sexual network at the last time step, biomarker data with detailed trajectories, infection, death and partnership events, and counts of various quantities at each time step.
We first compute the annual growth rate.
The average final population size, across the 5 is 1.04528 × 104, corresponding to a growth rate of 2.71%. (The rate of entry of new individuals is a free parameter, and will be adjusted to reflect data form the three cities).
The age distribution at the end of the simulation is below.
# gg net%v%"age"
# plot(
# qplot(age, geom="histogram", binwidth=5,
# col=I("red"),
# alpha=I(.2))
# )
The overall prevalence at the end of the simulation was about 0.2, 0.3, 0.4, 0.4, 0.4%. HIV prevalence as a function of time is shown below.
The annual incidence rates over the course of the simulation are shown below.
## No id variables; using all as measure variables
The target main mean degree is 0.46 and a plot of the simulated mean degree, over the course of the simulations, is below.
## degree0 degree1 degree2 degree3
## 6679 4469 221 9
## degree0 degree1 degree2 degree3
## 6436 4486 215 10
## degree0 degree1 degree2 degree3
## 6537 4312 206 12
## degree0 degree1 degree2 degree3
## 5594 3878 187 10
## degree0 degree1 degree2 degree3
## 5335 3520 144 4
## Don't know how to automatically pick scale for object of type data.frame. Defaulting to continuous.
The target main mean degree is 0.59 and a plot of the simulated mean degree, over the course of the simulations, is below.
## degree0 degree1 degree2 degree3 degree4 degree5 degree6
## 6264 3983 908 185 31 6 1
## degree0 degree1 degree2 degree3 degree4 degree5
## 6163 3834 879 220 49 2
## degree0 degree1 degree2 degree3 degree4 degree5 degree7
## 6079 3876 871 201 35 4 1
## degree0 degree1 degree2 degree3 degree4 degree5
## 5412 3343 711 162 40 1
## degree0 degree1 degree2 degree3 degree4 degree5 degree6
## 4977 3143 667 186 24 5 1
