NetLogoWContactTracing6-11.nlogo

turtles-own
[ sick?
  immune?
  vaccine?
  sick-count
  immune-count
  vaccine-count
  pop-count
  numOfSocialGathering
  dead?
  elderly?
  quarantine?
]

globals
[
  %infected
  %immune
  %vaccinated
  death-count
  cummulativeSick-count
  quarantine-count
  daily-count
]

to setup
  clear-all
  setup-turtles
  update-global-variables
  reset-ticks
end

to setup-turtles
  set-default-shape turtles "person"
  crt people
  [ setxy random-xcor random-ycor
    set sick-count 0
    set size 1.5
    get-healthy
    set vaccine? false
    set elderly? false
    set quarantine? false
    set numOfSocialGathering averageGroupSize
  ]
  ask n-of initialInfected turtles
    [get-sick]
  ask n-of initialElderly turtles
    [get-old]
  ask n-of initialVaccinated turtles
    [get-vaccinated]
end

to get-old
  set elderly? true
  set color yellow
end

to get-dead
  set dead? true
  set color pink
end

to get-quarantine
  set quarantine? true
  set color orange
end

to get-unquarantine
  set quarantine? false
  set color green
end


to get-sick
  set sick? true
  set immune? false
  set color red
  set cummulativeSick-count (cummulativeSick-count + 1)
end

to get-healthy
  set sick? false
  set immune? false
  set sick-count 0
  set color green
end

to become-immune
  set sick? false
  set sick-count 0
  set immune? true
  set immune-count 0
  set color gray
end

to become-unimmune
  set sick? false
  set sick-count 0
  set immune? false
  set color blue
end

to get-vaccinated
  set vaccine? true
  set color white
end


to go
  get-older
  move
  infect
  recover
  lose-immunity
  update-global-variables
  contactTrace
  vaccine ;random chance of getting vaccinated/ cuts infectiousness by %
  tick
  if (count turtles with [sick?] = 0)
  [stop]
end

to halt
  if (count turtles with [sick?] = 0)
  [stop]
end

to update-global-variables
  if count turtles > 0
  [
    set %infected (count turtles with [sick?]) / (count turtles) * 100
    set %immune (count turtles with [immune?]) / (count turtles) * 100
    set %vaccinated (count turtles with [vaccine?]) / (count turtles) * 100
    set death-count (people - count turtles)
    set quarantine-count (count turtles with [quarantine?])
    set daily-count (count turtles with [sick?])
  ]
end

to get-older
  ask turtles
  [ if sick?
    [set sick-count (sick-count + 1) ]

    if immune?
    [set immune-count (immune-count + 1) ]

    set pop-count ( count turtles )
  ]
end

to vaccine
  ask turtles with [not sick?]
    [if (random-float 100 < vaccination-rate)
      [get-vaccinated]]
end

to move
  ask turtles with[not quarantine?]
  [if (random-float 100 < movement)
  [ rt random 100
    lt random 100
      fd 1 ]]
end

to contactTrace
  ask turtles with [sick? and not quarantine?]
  [if(random-float 100 < contactTracingRate)
    [get-quarantine]]
end

to infect
  ask turtles with [sick? and not quarantine?]
    [ask other turtles-here with [not sick? and not immune? and vaccine? and elderly?]
      [if (random-float 100) + vaccineEfficacy + elderlyImmunity < infectiousness and count other turtles-here with [ not immune? ] <= averageGroupSize
        [get-sick]]]

  ask turtles with [sick? and not quarantine?]
    [ask other turtles-here with [not sick? and not immune? and vaccine? and not elderly?]
      [if (random-float 100) + vaccineEfficacy < infectiousness and count other turtles-here with [ not immune? ] <= averageGroupSize
        [get-sick]]]

  ask turtles with [sick? and not quarantine?]
  [ask other turtles-here with [ not sick? and not vaccine? and not immune? and elderly?]
      [if (random-float 100) + elderlyImmunity < infectiousness and count other turtles-here with [ not immune? ] <= averageGroupSize
        [get-sick]]]

  ask turtles with [sick? and not quarantine?]
  [ask other turtles-here with [ not sick? and not vaccine? and not immune? and not elderly?]
      [if (random-float 100) < infectiousness and count other turtles-here with [ not immune? ] <= averageGroupSize
        [get-sick]]]
end

to recover
  ask turtles with [sick? and elderly? and vaccine?]
    [if (random sick-count) > duration
      [ ifelse ((random-float 100) < 0.1683); old and vaccinated
        [die]
        [become-immune
         get-unquarantine]]]

  ask turtles with [sick? and not elderly? and vaccine?]
   [if (random sick-count) > duration
      [ ifelse ((random-float 100) < 0.01); young and vaccinated
        [die]
        [become-immune
         get-unquarantine]]]

  ask turtles with [sick? and elderly? and not vaccine?]
  [if (random sick-count) > duration
      [ ifelse ((random-float 100) < 4.393); old and not vaccinated
        [die]
        [become-immune
         get-unquarantine]]]
  ask turtles with [sick? and not elderly? and not vaccine?]
  [if (random sick-count) > duration
      [ ifelse ((random-float 100) < 0.0575); young and not vaccinated
        [die]
       [become-immune
         get-unquarantine]]]
end

to lose-immunity
  ask turtles with [immune?]
  [if immune-count > immune-time
    [become-unimmune]
  ]
end
@#$#@#$#@
GRAPHICS-WINDOW
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BUTTON
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NIL
Setup\n
NIL
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T
OBSERVER
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BUTTON
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Go
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T
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people
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MONITOR
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%immune
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MONITOR
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NIL
%infected
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SLIDER
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infectiousness
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vaccination-rate
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HORIZONTAL

SLIDER
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vaccineEfficacy
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initialinfected
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HORIZONTAL

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initialElderly
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People
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SLIDER
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elderlyImmunity
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MONITOR
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%vaccinated
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MONITOR
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death-count
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CHOOSER
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averageGroupSize
averageGroupSize
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PLOT
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Infected over time
ticks
infected
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0.0
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true
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"" ""
PENS
"default" 1.0 0 -16777216 true "" "plot cummulativeSick-count"

MONITOR
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cummulativeSick-count
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SLIDER
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contactTracingRate
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0
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%
HORIZONTAL

MONITOR
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quarantine-count
quarantine-count
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PLOT
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901
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Death over time
Dead
ticks
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200.0
0.0
200.0
true
false
"" ""
PENS
"default" 1.0 0 -2674135 true "" "plot death-count"

SLIDER
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initialVaccinated
initialVaccinated
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1
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People
HORIZONTAL

SLIDER
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immune-time
immune-time
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1
1
NIL
HORIZONTAL

@#$#@#$#@
## WHAT IS IT?

(a general understanding of what the model is trying to show or explain)

## HOW IT WORKS

(what rules the agents use to create the overall behavior of the model)

## HOW TO USE IT

(how to use the model, including a description of each of the items in the Interface tab)

## THINGS TO NOTICE

(suggested things for the user to notice while running the model)

## THINGS TO TRY

(suggested things for the user to try to do (move sliders, switches, etc.) with the model)

## EXTENDING THE MODEL

(suggested things to add or change in the Code tab to make the model more complicated, detailed, accurate, etc.)

## NETLOGO FEATURES

(interesting or unusual features of NetLogo that the model uses, particularly in the Code tab; or where workarounds were needed for missing features)

## RELATED MODELS

(models in the NetLogo Models Library and elsewhere which are of related interest)

## CREDITS AND REFERENCES

(a reference to the model's URL on the web if it has one, as well as any other necessary credits, citations, and links)
@#$#@#$#@
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@#$#@#$#@
NetLogo 6.2.0
@#$#@#$#@
@#$#@#$#@
@#$#@#$#@
<experiments>
  <experiment name="noIntervention2" repetitions="20" runMetricsEveryStep="true">
    <setup>setup</setup>
    <go>go</go>
    <metric>cummulativeSick-count</metric>
    <metric>death-count</metric>
    <enumeratedValueSet variable="initialinfected">
      <value value="1"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="people">
      <value value="500"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="initialElderly">
      <value value="91"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="elderlyImmunity">
      <value value="-8"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="vaccination-rate">
      <value value="0"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="averageGroupSize">
      <value value="50"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="contactTracingRate">
      <value value="0"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="immune-time">
      <value value="290"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="chance-recover">
      <value value="100"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="vaccineEfficacy">
      <value value="50"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="duration">
      <value value="10"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="movement">
      <value value="100"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="initialVaccinated">
      <value value="0"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="infectiousness">
      <value value="100"/>
    </enumeratedValueSet>
  </experiment>
  <experiment name="40vaxx" repetitions="12" runMetricsEveryStep="true">
    <setup>setup</setup>
    <go>go</go>
    <metric>cummulativeSick-count</metric>
    <metric>death-count</metric>
    <enumeratedValueSet variable="initialinfected">
      <value value="1"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="people">
      <value value="500"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="initialElderly">
      <value value="91"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="elderlyImmunity">
      <value value="-8"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="vaccination-rate">
      <value value="0"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="averageGroupSize">
      <value value="50"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="contactTracingRate">
      <value value="0"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="immune-time">
      <value value="290"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="chance-recover">
      <value value="100"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="vaccineEfficacy">
      <value value="50"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="duration">
      <value value="10"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="movement">
      <value value="100"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="initialVaccinated">
      <value value="200"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="infectiousness">
      <value value="100"/>
    </enumeratedValueSet>
  </experiment>
  <experiment name="85vaxx" repetitions="12" runMetricsEveryStep="true">
    <setup>setup</setup>
    <go>go</go>
    <metric>cummulativeSick-count</metric>
    <metric>death-count</metric>
    <enumeratedValueSet variable="initialinfected">
      <value value="1"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="people">
      <value value="500"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="initialElderly">
      <value value="91"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="elderlyImmunity">
      <value value="-8"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="vaccination-rate">
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