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# This code produces the results in Figure 1 of the manuscript:
# "Transmission thresholds for the spread of infections in healthcare facilities"
gam <- 1/387
eps <- 0.5
bet <- 0.051048866
deltaC <- 0.008447451
px <- 0.57993299
rx <- 0.02849861
rg <- 0.17911358
k <- 5.73518945
getMu <- function(px, rx, rg) px/rx + (1-px)*k/rg
getR0intervention <- function(px, rx, rg){
mgf <- function(x, deriv=0) MGFmixedgamma(x, prob = c(px, 1-px),
rate = c(rx, rg),
shape = c(1,k), deriv)
facilityR0(S = 0, C = rbind(c(-deltaC-gam,0),c(deltaC,0)), A = rbind(1,0),
transm = bet*c(1,1-eps), initS = 1, mgf = mgf)
}
getR0intervention <- Vectorize(getR0intervention)
pts <- 100
chng <- seq(0,1,len=pts)
R0rxrg <- matrix(0,pts,1)
R0rx <- matrix(0,pts,1)
R0rg <- matrix(0,pts,1)
R0px <- matrix(0,pts,1)
murxrg <- matrix(0,pts,1)
murx <- matrix(0,pts,1)
murg <- matrix(0,pts,1)
mus <- matrix(0,pts,1)
mupx <- matrix(0,pts,1)
rxsBoth <- rx*(1+chng)
rgsBoth <- rg*(1+chng)
rxs <- rx*(1+chng)
rgs <- rg*(1+chng*1.5)
pxs <- px*(1-chng)
R0rxrg[,1] <- getR0intervention(px, rxsBoth, rgsBoth)
murxrg[,1] <- getMu(px, rxsBoth, rgsBoth)
R0rx[,1] <- getR0intervention(px, rxs, rg)
murx[,1] <- getMu(px, rxs, rg)
R0rg[,1] <- getR0intervention(px, rx, rgs)
murg[,1] <- getMu(px, rx, rgs)
R0px[,1] <- getR0intervention(pxs, rx, rg)
mupx[,1] <- getMu(pxs, rx, rg)
R0labs <- seq(0.8,1.3,0.1)
x <- matrix(rep(chng,1),pts,1)*100
doPlot <- function(R0vals,muVals,title){
plot(60-muVals, R0vals, lwd=2, axes=FALSE,
type='l', lty=1, ylab = expression(paste("Facility ", italic(R)[0])),
xlab = 'Mean days of stay', xlim = c(26,34), ylim = c(0.8,1.3), main=title)
box(); axis(1, seq(26,34), seq(34,26))
axis(2,R0labs,R0labs)
lines(c(-100,200),c(1,1),col='grey',lty=3)
}
oldpar <- par(mfrow=c(2,2))
doPlot(R0rxrg,murxrg,'Increase discharge rate of all patients')
doPlot(R0rx,murx,'Increase discharge rate of high-variance patients')
doPlot(R0rg,murg,'Increase discharge rate of low-variance patients')
doPlot(R0px,mupx,'Decrease fraction of high-variance patients')
par(oldpar)
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