Code
risk_json$x$hc_opts$series
Output
[[1]]
[[1]]$group
[1] "group"
[[1]]$data
[[1]]$data[[1]]
[[1]]$data[[1]]$n
[1] 67
[[1]]$data[[1]]$color
[1] "#e57373"
[[1]]$data[[1]]$pct
[1] "3"
[[1]]$data[[1]]$lbl
[1] "people"
[[1]]$data[[1]]$i
[1] 1
[[1]]$data[[1]]$y
[1] 67
[[1]]$data[[1]]$name
[1] "Undetected"
[[1]]$data[[2]]
[[1]]$data[[2]]$n
[1] 12
[[1]]$data[[2]]$color
[1] "#90caf9"
[[1]]$data[[2]]$pct
[1] "1"
[[1]]$data[[2]]$lbl
[1] "people"
[[1]]$data[[2]]$i
[1] 2
[[1]]$data[[2]]$y
[1] 12
[[1]]$data[[2]]$name
[1] "Detected w/ Testing"
[[1]]$data[[3]]
[[1]]$data[[3]]$n
[1] 36
[[1]]$data[[3]]$color
[1] "#b0bec5"
[[1]]$data[[3]]$pct
[1] "2"
[[1]]$data[[3]]$lbl
[1] "people"
[[1]]$data[[3]]$i
[1] 3
[[1]]$data[[3]]$y
[1] 36
[[1]]$data[[3]]$name
[1] "Detected w/ Symptoms"
[[1]]$data[[4]]
[[1]]$data[[4]]$n
[1] 1886
[[1]]$data[[4]]$color
[1] "#e0e0e0"
[[1]]$data[[4]]$pct
[1] "94"
[[1]]$data[[4]]$lbl
[1] "people"
[[1]]$data[[4]]$i
[1] 4
[[1]]$data[[4]]$y
[1] 1886
[[1]]$data[[4]]$name
[1] "Not a Case"
[[1]]$type
[1] "item"
[[1]]$layout
[1] "horizontal"
[[1]]$itemPadding
[1] 0
Code
benefit_json$x$hc_opts$series
Output
[[1]]
[[1]]$name
[1] "Detected"
[[1]]$data
[[1]]$data[[1]]
[[1]]$data[[1]]$n
[1] 11.99571
[[1]]$data[[1]]$color
[1] "#64b5f6"
[[1]]$data[[1]]$pct
[1] 15.25285
[[1]]$data[[1]]$pct_lbl
[1] "15%"
[[1]]$data[[1]]$lbl
[1] "15%Detected"
[[1]]$data[[1]]$y
[1] 11.99571
[[1]]$data[[1]]$name
[1] "Detected"
[[1]]$type
[1] "column"
[[1]]$showInLegend
[1] FALSE
[[1]]$stacking
[1] "normal"
[[1]]$dataLabels
[[1]]$dataLabels$enabled
[1] TRUE
[[1]]$dataLabels$format
[1] "{point.lbl}"
[[1]]$dataLabels$style
[[1]]$dataLabels$style$textOutline
[1] "none"
[[2]]
[[2]]$name
[1] "Undetected"
[[2]]$data
[[2]]$data[[1]]
[[2]]$data[[1]]$n
[1] 66.65
[[2]]$data[[1]]$color
[1] "#ef9a9a"
[[2]]$data[[1]]$pct
[1] 84.74715
[[2]]$data[[1]]$pct_lbl
[1] "85%"
[[2]]$data[[1]]$lbl
[1] "85%Undetected"
[[2]]$data[[1]]$y
[1] 66.65
[[2]]$data[[1]]$name
[1] "Undetected"
[[2]]$type
[1] "column"
[[2]]$showInLegend
[1] FALSE
[[2]]$stacking
[1] "normal"
[[2]]$dataLabels
[[2]]$dataLabels$enabled
[1] TRUE
[[2]]$dataLabels$format
[1] "{point.lbl}"
[[2]]$dataLabels$style
[[2]]$dataLabels$style$textOutline
[1] "none"
Code
vac_json$x$hc_opts$series
Output
[[1]]
[[1]]$group
[1] "group"
[[1]]$data
[[1]]$data[[1]]
[[1]]$data[[1]]$benefit
[1] 2.447555
[[1]]$data[[1]]$color
[1] "#90caf9"
[[1]]$data[[1]]$x
[1] 0
[[1]]$data[[1]]$y
[1] 2.447555
[[1]]$data[[1]]$name
[1] "Vaccinated"
[[1]]$data[[2]]
[[1]]$data[[2]]$benefit
[1] 4.145131
[[1]]$data[[2]]$color
[1] "#90a4ae"
[[1]]$data[[2]]$x
[1] 1
[[1]]$data[[2]]$y
[1] 4.145131
[[1]]$data[[2]]$name
[1] "Unvaccinated"
[[1]]$type
[1] "column"
[[1]]$showInLegend
[1] FALSE
[[1]]$dataLabels
[[1]]$dataLabels$enabled
[1] TRUE
[[1]]$dataLabels$format
[1] "<span style='color: {point.color}'>{point.y:.1f}%</span>"
[[1]]$dataLabels$style
[[1]]$dataLabels$style$textOutline
[1] "none"
Code
output$risk_expl
Output
$html
<p>
About
<b style="color: #29434e">115</b>
<b style="color: #29434e">people</b>
in the organization
are
expected to bring COVID-19 with them each day.
<b style="color: #e57373">67</b>
of these cases
are
expected to remain
<b style="color: #e57373; margin-right: -4px">undetected</b>
; that's roughly
<b style="color: #e57373">3%</b>
of the organization.
</p>
<p>
<b style="color: #90a4ae">36</b>
<b style="color: #90a4ae">cases</b>
are
expected to be detected due to
<b style="color: #90a4ae; margin-right: -4px">symptoms</b>
; another
<b style="color: #64b5f6">12</b>
<b style="color: #64b5f6">cases</b>
are
expected to be detected via regular
<b style="color: #64b5f6; margin-right: -4px">testing</b>
.
</p>
$deps
list()
Code
output$benefit_expl
Output
$html
<p>
Asymptomatic testing is expected to reduce undetected cases by
<b style="color: #64b5f6; margin-right: -4px">15%</b>
,
<b style="color: #64b5f6">detecting</b>
an additional
<b style="color: #64b5f6">12</b>
<b style="color: #64b5f6; margin-right: -4px">cases</b>
.
</p>
<p>
This leaves an expected
<b style="color: #e57373">85%</b>
of asymptomatic cases
<b style="color: #e57373; margin-right: -4px">undetected</b>
.
Increase testing frequency to reduce this number further.
</p>
$deps
list()
Code
output$vac_expl
Output
$html
<p>
About
<b style="color: #78909c">4.1%</b>
of tests in
<b style="color: #78909c">unvaccinated</b>
people will detect
a case, compared to about
<b style="color: #64b5f6">2.4%</b>
of tests in
<b style="color: #64b5f6">vaccinated</b>
people.
</p>
<p>
This means that testing
<b style="color: #78909c">unvaccinated</b>
people is about
<b style="color: #78909c">1.7x</b>
more cost-effective than testing
<b style="color: #64b5f6">vaccinated</b>
people in
this scenario.
</p>
$deps
list()
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