library(tidyverse)
library(cowplot)
library(covidsch)
# Network plot ------------------------------------------------------------
load("data-raw/school_data_2.Rdata")
plot_sch_network2 <- purrr::partial(plot_sch_network,
am = am2.sch,
df = name.class,
groups = name.class$classa,
num.initial.cases = 1,
prop.ascertain = 0,
R = 1,
asym.adult = 0.4, asym.child = 0.9,asym.adult.inf = 0.5,
sym.child.inf = 1, asym.child.inf = 0.5,
presymrate = 0.4,
delay_shape = 1,
delay_scale = 1.4,
num.initial.cases = 1,
isolation = FALSE,
quarantine = FALSE,
tracing = FALSE,
secondary = FALSE,
outside = 0,
sensitivity = "high",
testing = "none",
s = 444)
png("inst/plots/sch_network.png",
height = 16,
width = 16,
units = "in",
res = 150
)
layout(matrix(1:4,2,2,byrow = T))
par(mar = c(0,0,1,0))
plot_sch_network2(day = 1)
text(0.2,2,"Day 0",cex = 2)
plot_sch_network2(day = 5)
text(0.2,2,"Day 5",cex = 2)
plot_sch_network2(day = 10)
text(0.2,2,"Day 10",cex = 2)
plot_sch_network2(day = 30)
text(0.2,2,"Day 30",cex = 2)
dev.off()
# 90% asym children -------------------------------------------------------
inf <- read_rds("data-raw/infection_rates_asym90.rds")
labs <- unique(inf$intervention)
figa <- case_plot(filter(inf,intervention == labs[1]))+
theme(legend.position = "top")+
ylim(c(0,250))
legend <- get_legend(figa)
figa <- figa+theme(legend.position = "none")+
ggtitle(labs[1])
figb <- case_plot(filter(inf,intervention == labs[2]))+
theme(legend.position = "none")+
ggtitle(labs[2])+
ylim(c(0,250))
figc <- case_plot(filter(inf,intervention == labs[3]))+
theme(legend.position = "none")+
ggtitle(labs[3])+
ylim(c(0,250))
linegraphs <- plot_grid(figa,figb,figc,nrow = 1)
plot_sch_network2 <- purrr::partial(plot_sch_network,
am = am2.sch,
day = 10,
df = name.class,
groups = name.class$classa,
num.initial.cases = 1,
prop.ascertain = 0,
R = 1,
asym.adult = 0.4, asym.child = 0.9,asym.adult.inf = 0.5,
presymrate = 0.4,
delay_shape = 1,
delay_scale = 1.4,
num.initial.cases = 1,
isolation = FALSE,
quarantine = FALSE,
tracing = FALSE,
secondary = FALSE,
outside = 0,
sensitivity = "high",
testing = "none",
s = 444)
figd <- function(){
par(mar = c(0,0,0,0))
plot_sch_network2(sym.child.inf = 1, asym.child.inf = 0.5)
}
fige <- function(){
par(mar = c(0,0,0,0))
plot_sch_network2(sym.child.inf = 0.5, asym.child.inf = 0.25)
}
figf <- function(){
par(mar = c(0,0,0,0))
plot_sch_network2(sym.child.inf = 0.1, asym.child.inf = 0.05)
}
nets <- plot_grid(figd,fige,figf,nrow = 1)
png("inst/plots/infection_rates90.png",
height = 18,
width = 24,
units = "in",
res = 150)
plot_grid(legend,linegraphs,nets,nrow = 3,rel_heights = c(0.1,0.8,1))
dev.off()
# 40% asym children -------------------------------------------------------
inf <- read_rds("data-raw/infection_rates_asym40.rds")
labs <- unique(inf$intervention)
figa <- case_plot(filter(inf,intervention == labs[1]))+
theme(legend.position = "top")+
ylim(c(0,250))
legend <- get_legend(figa)
figa <- figa+theme(legend.position = "none")+
ggtitle(labs[1])
figb <- case_plot(filter(inf,intervention == labs[2]))+
theme(legend.position = "none")+
ggtitle(labs[2])+
ylim(c(0,250))
figc <- case_plot(filter(inf,intervention == labs[3]))+
theme(legend.position = "none")+
ggtitle(labs[3])+
ylim(c(0,250))
linegraphs <- plot_grid(figa,figb,figc,nrow = 1)
plot_sch_network2 <- purrr::partial(plot_sch_network,
am = am2.sch,
day = 10,
df = name.class,
groups = name.class$classa,
num.initial.cases = 1,
prop.ascertain = 0,
R = 6.5,
asym.adult = 0.4, asym.child = 0.4,asym.adult.inf = 0.5,
presymrate = 0.4,
delay_shape = 1,
delay_scale = 1.4,
num.initial.cases = 1,
isolation = FALSE,
quarantine = FALSE,
tracing = FALSE,
secondary = FALSE,
outside = 0,
sensitivity = "high",
testing = "none",
s = 444)
figd <- function(){
par(mar = c(0,0,0,0))
plot_sch_network2(sym.child.inf = 1, asym.child.inf = 0.5)
}
fige <- function(){
par(mar = c(0,0,0,0))
plot_sch_network2(sym.child.inf = 0.5, asym.child.inf = 0.25)
}
figf <- function(){
par(mar = c(0,0,0,0))
plot_sch_network2(sym.child.inf = 0.1, asym.child.inf = 0.05)
}
nets <- plot_grid(figd,fige,figf,nrow = 1)
png("inst/plots/infection_rates40.png",
height = 18,
width = 24,
units = "in",
res = 150)
plot_grid(legend,linegraphs,nets,nrow = 3,rel_heights = c(0.1,0.8,1))
dev.off()
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