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Dynamic Network Simulations with Ugandan Data

Analyzing network characteristics and disease prevalence with gender distribution for Ugandan population simulation.

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Dynamic Network Simulations with Ugandan Data

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  1. Multiple Dynamic Network Simulations with Ugandan Data Monisha Sharma KiprutoKirwa Cristina Metzger Sarah Roberts

  2. Network Characteristics num.females <- 372 num.males <- 361 nw <- network.initialize(num.females + num.males, bipartite = num.females, directed = F) nw %v% 'sex' <- c(rep(1, num.females), rep(2, num.males)) deg.dist.females <- c(0.2, 0.786, 0.011, 0.003) deg.dist.males <- c(0.328, 0.524, 0.127, 0.021)

  3. Vital Dynamics & Disease i.prev<-0.1 i.rand=TRUE trans.rate <- c(rep(0.2055, 3), rep(0.0088, 100), rep(0.0614, 9), rep(0, 10)) trans.rate<-trans.rate*4 trans.rate.m2<-trans.rate/2 act.rate<-1 b.rate=0.0066 ds.rate=0.0025

  4. Prevalence at time 100 = 15.8% Prevalence at time 250 = 20.5%

  5. Prevalence at time 100 = 15.9% Prevalence at time 250 = 17.1%

  6. Prevalence at time 100 = 14.2% Prevalence at time 250 = 12.5%

  7. Prevalence at time 100 = 11.5% Prevalence at time 250 = 0%

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