acb100cias_abm_cancer/hpv_min_0.2.nlogo
extensions [nw]
;extensions [r]


globals [
  infection-chance  ;; The chance out of 100 that an infected person will pass on
                    ;;   infection during one week of couplehood.
  symptoms-show     ;; How long a person will be infected before symptoms occur
                    ;;   which may cause the person to get tested.
  slider-check-1    ;; Temporary variables for slider values, so that if sliders
  slider-check-2    ;;   are changed on the fly, the model will notice and
;  slider-check-3    ;;   change people's tendencies appropriately.
  slider-check-4
  initial-people
  vaccine-rate
  vaccine-type
  recruitment-rate
  natural-death-rate
  cc-death-rate
  time              ;; time in weeks
  year
  infected
  population
  n
  num
  ]

breed [women woman]
breed [men man]

turtles-own [
  infected?          ;; If true, the person is infected.  It may be known or unknown.
  known?             ;; If true, the infection is known (and infected? must also be true).
  sane?
  vaccinated?
  cancer?
  virus-type         ;; Stands for virus type 1,2,3 or 4 depending on what family of hpv belong: alpha 11 , 7, 6, 5 respectively
  infection-length   ;; How long the person has been infected.
  coupled?           ;; If true, the person is in a sexually active couple.
  couple-length      ;; How long the person has been in a couple.

  ;; the next four values are controlled by sliders

  commitment         ;; How long the person will stay in a couple-relationship.
  coupling-tendency  ;; How likely the person is to join a couple.
  test-frequency     ;; Number of times a person will get tested per year.
  partner            ;; The person that is our current partner in a couple.
  promiscuity        ;; It measures roughly in a scale of 0 to 1, meaning 0 is monogamous and 1 poligamous (completely promiscuous)
  coupling-efectivity ;;Based on the principle that "el que liga más, liga más"
  age
  stage
  vaccine-lenght
]

;;;
;;; SETUP PROCEDURES
;;;

to setup
  clear-all
  setup-globals
  setup-people
  reset-ticks

end

to setup-globals
  set infection-chance 80    ;;hay que revisar la probabilidad de infección en la literatura
  set symptoms-show 200.0    ;; lo mismo para el tiempo de infeccion
  set slider-check-1 average-commitment
  set slider-check-2 average-coupling-tendency
  set slider-check-4 average-test-frequency
  set vaccine-rate vr
  set vaccine-type vaccine
  set time 0
  set recruitment-rate 0.75
  set natural-death-rate 0.524
  set cc-death-rate 0.0012
  set year 0
  set population (initial-men + initial-women)
end

to setup-people
  set initial-people  initial-women + initial-men
  create-women initial-women
  ask women [ifelse version ="people"[set shape "person righty"][set shape "triangle"]]
  create-men initial-men
  ask men [ifelse version ="people"[set shape "person lefty" ][set shape "circle"]]
  ask turtles [set vaccinated? false set infected? false set sane? true set cancer? false]
  ask n-of (floor(initial-women * vaccine-rate)) women [set vaccinated? true]
  ask n-of (floor((count turtles with [vaccinated? = false]) * random-float 1)) turtles with [vaccinated? = false][set infected? true]
  ask turtles[ setxy random-xcor random-ycor
      set known? false
      set coupled? false
      set partner nobody
      set promiscuity random-float 1
      set coupling-efectivity random-float 1
      set age 13 + random 47
      if vaccinated? = true [set vaccine-lenght random 5]
      if infected? = true  [ set virus-type random 4   set infection-length random-float symptoms-show ]
      assign-commitment
      assign-coupling-tendency
      assign-test-frequency]
ask women [assign-woman-color]
ask men [assign-man-color
   if vaccine-type = "vac3"[ask n-of (initial-men * vaccine-rate) men [set vaccinated? true ]]]
end

;; Different people are displayed in 4 different colors depending on health
;; green is not infected
;; blue is infected but doesn't know it
;; red is infected and knows it
;; grey is vaccinated

to assign-man-color  ;; turtle procedure
  ask men [ifelse infected? = true [ifelse known? = true[ set color red + 2  ][set color blue + 2]][ set color green + 2]]
;  ask men [ifelse infected? = true and Known? = true[ set color red + 0.2  ][set color green + 0.2]]
 ; ask men[if infected? = true and known? = false [ set color blue + 0.2] ]

end


to assign-woman-color  ;; turtle procedure
  ask women [ifelse infected? = true [ifelse known? = true[ set color red - 2  ][set color blue - 2]][ set color green - 2]]
;  ask women [if sane? = true ]
;;  ask women[ if infected? = true and known? = false  ]

end

to getSick
 if infected? = true [set stage 1]
 if infection-length >  50 and random 12 < 6 [set stage 2]
 if infection-length > 150 and random 12 = 11[set stage 3]
 if stage = 3 and random 12 < 11 [set cancer? true]
 if cancer? = true and random 12 = 11[die set pcolor black]
end


;; The following four procedures assign core turtle variables.  They use
;; the helper procedure RANDOM-NEAR so that the turtle variables have an
;; approximately "normal" distribution around the average values set by
;; the sliders.

to assign-commitment  ;; turtle procedure
  ifelse vaccinated? = false [set commitment random-near average-commitment][set commitment random-near 0.5 * average-commitment
    set coupling-efectivity coupling-efectivity + 0.2]
end

to assign-coupling-tendency  ;; turtle procedure
  set coupling-tendency random-near average-coupling-tendency
end

to assign-test-frequency  ;; turtle procedure
  set test-frequency random-near average-test-frequency
end

to-report random-near [center]  ;; turtle procedure
  let result 0
  repeat 40
    [ set result (result + random-float center) ]
  report result / 20
end

;; Recruitment hay que cambiar como se hace el reclutamiento,debe asignarse a estas tortugas las variables
to new-year
  if time = 52 [cp set time 0  set year year + 1 ask n-of (floor(natural-death-rate * population)) turtles [die set pcolor black]
    create-women 0.51 * initial-people * recruitment-rate  create-men 0.49 * initial-people * recruitment-rate
  ask women with  [xcor = 0 and ycor = 0 ][ifelse version ="people"[set shape "person righty"][set shape "triangle"]]
  ask men with [xcor = 0 and ycor = 0 ][ifelse version ="people"[set shape "person lefty"][set shape "circle"]]
  ask turtles with [xcor = 0 and ycor = 0 ][set vaccinated? false set infected? false set sane? true set cancer? false]
  ask n-of (floor((count women with [xcor = 0 and ycor = 0]) * vaccine-rate)) women with [xcor = 0 and ycor = 0 ] [set vaccinated? true]
;  ask n-of (floor(initial-women * vaccine-rate)) women [set vaccinated? true]
  ask n-of (floor((count turtles with [xcor = 0 and ycor = 0 and vaccinated? = false]) * random-float 1)) turtles with [xcor = 0 and ycor = 0 and vaccinated? = false][set infected? true]
  ask turtles with [xcor = 0 and ycor = 0 ][ setxy random-xcor random-ycor
      set known? false
      set coupled? false
      set partner nobody
      set promiscuity random-float 1
      set coupling-efectivity random-float 1
      set age 13 + random 47
      if vaccinated? = true [set vaccine-lenght random 5]
      if infected? = true  [ set virus-type random 4   set infection-length random-float symptoms-show ]
      assign-commitment
      assign-coupling-tendency
 ;     assign-condom-use
      assign-test-frequency]
ask women [assign-woman-color]
ask men [assign-man-color
   if vaccine-type = "vac3"[ask n-of (initial-men * vaccine-rate) men [set vaccinated? true ]]]]
end


;;;
;;; GO PROCEDURES
;;;

to go
   if all? turtles [known? = true]
    [ stop ]
  check-sliders
  ask patches[if turtles-here = 0 [set pcolor black]]
  ask turtles
    [ if infected? = true
        [ set infection-length infection-length + 1 ]
      if coupled? = true
        [ set couple-length couple-length + 1 ] ]
  ask turtles
    [ if coupled? = false
        [ move ] ]
  ;; Righties are always the ones to initiate mating.  This is purely
  ;; arbitrary choice which makes the coding easier.
  ask women
    [ if coupled? = false and (random-float 10.0 < coupling-tendency)
        [ couple ] ]
  ask turtles [ uncouple ]
  ask turtles [ infect ]
  ask turtles [ test ]
  ask turtles [getSick]
  ask men [ assign-man-color ]
  ask women [ assign-woman-color ]
  nw:set-context turtles links
  tick
  set time time + 1
  new-year
  ask turtles [set age age + year]
  set population (count turtles)
  ask turtles with [coupled? = true][if partner = nobody[set coupled? false]]
  set n  random 100
  set num (word n)
  if time = 50 [nw:save-matrix (word "matriz"  num  ".txt")]
end

;; Each tick a check is made to see if sliders have been changed.
;; If one has been, the corresponding turtle variable is adjusted

to check-sliders
  if (slider-check-1 != average-commitment)
    [ ask turtles [ assign-commitment ]
      set slider-check-1 average-commitment ]
  if (slider-check-2 != average-coupling-tendency)
    [ ask turtles [ assign-coupling-tendency ]
      set slider-check-2 average-coupling-tendency ]
  if (slider-check-4 != average-test-frequency )
    [ ask turtles [ assign-test-frequency ]
      set slider-check-4 average-test-frequency ]
end

;; People move about at random.

to move  ;; turtle procedure
  ifelse version = "people" [rt random-float 360  fd 1] [fd 1]
end

;; People have a chance to couple depending on their tendency to have sex and
;; if they meet.  To better show that coupling has occurred, the patches below
;; the couple turn gray.

to couple  ;; turtle procedure -- righties only!
  let potential-partner one-of (men-at -1 0)
                          with [coupled? = false]
  if potential-partner != nobody
    [ if random-float 10.0 < [coupling-tendency] of potential-partner and coupling-efectivity > 0.6
      [ set partner potential-partner
        if relacion = true [create-link-with partner]
        set coupled? true
        ask partner [ set coupled? true ]
        ask partner [ set partner myself ]
        move-to patch-here ;; move to center of patch
        ask potential-partner [move-to patch-here] ;; partner moves to center of patch
        set pcolor gray - 3
        ask (patch-at -1 0) [ set pcolor gray - 3 ] ] ]
    if turtles-here = nobody [set pcolor black]
end

;; If two peoples are together for longer than either person's commitment variable
;; allows, the couple breaks up.

to uncouple  ;; turtle procedure
  ask women [if coupled? = true
    [ if (couple-length > commitment) or
         ([couple-length] of partner) > ([commitment] of partner) or promiscuity > 0.7
        [ set coupled? false
          set couple-length 0
          ask partner [ set couple-length 0 ]
          set pcolor black
          ask (patch-at -1 0) [ set pcolor black ]
          ask partner [ set partner nobody ]
          ask partner [ set coupled? false ]
          set partner nobody ] ]]
end

;; Infection can occur if either person is infected, but the infection is unknown.
;; This model assumes that people with known infections will continue to couple,
;; but will automatically practice safe sex, regardless of their condom-use tendency.
;; Note also that for condom use to occur, both people must want to use one.  If
;; either person chooses not to use a condom, infection is possible.  Changing the
;; primitive to AND in the third line will make it such that if either person
;; wants to use a condom, infection will not occur.

to infect  ;; turtle procedure
  if coupled? = true and infected? = true and  known? = false and vaccinated? = false
        [ if random-float 100 < infection-chance
            [ ask partner [ set infected? true ] ] ] ;]

   if vaccine-type = "vac1"[
   if coupled? = true and infected? = true and  known? = false and [vaccinated?] of partner = true and [vaccine-lenght] of partner < 2 and virus-type > 2
        [ if random-float 100 < infection-chance
            [ ask partner [ set infected? true ] ] ] ]

   if vaccine-type = "vac2"[
   if coupled? = true and infected? = true and  known? = false and [vaccinated?] of partner = true and [vaccine-lenght] of partner < 2 and virus-type = 3
         [ if random-float 100 < infection-chance
            [ ask partner  [set infected? true ] ] ] ];]

end


;; People have a tendency to check out their health status based on a slider value.
;; This tendency is checked against a random number in this procedure. However, after being infected for
;; some amount of time called SYMPTOMS-SHOW, there is a 5% chance that the person will
;; become ill and go to a doctor and be tested even without the tendency to check.

to test  ;; turtle procedure
  if random-float 52 < test-frequency
    [ if infected? = true
        [ set known? true ] ]
  if infection-length > symptoms-show
    [ if random-float 100 < 5
        [ set known? true ] ]
end

;;;
;;; MONITOR PROCEDURES
;;;

to-report %infected
  ifelse any? turtles
    [ report (count turtles with [infected? = true] / count turtles) * 100 ]
    [ report 0 ]
end

to-report %vaccinated
  ifelse any? women
    [ report (count women with [vaccinated? = true] / count women) * 100 ]
    [ report 0 ]
end

to-report global-clustering-coefficient
  let closed-triplets sum [ nw:clustering-coefficient * count my-links * (count my-links - 1) ] of turtles
  let triplets sum [ count my-links * (count my-links - 1) ] of turtles
  report closed-triplets / triplets
end
@#$#@#$#@
GRAPHICS-WINDOW
329
10
1226
785
-1
-1
8.805
1
10
1
1
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0
0
0
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50
-43
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1
1
1
weeks
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BUTTON
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123
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setup
setup
NIL
1
T
OBSERVER
NIL
NIL
NIL
NIL
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BUTTON
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go
go
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T
OBSERVER
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MONITOR
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100
348
% infected
%infected
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1
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SLIDER
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average-commitment
average-commitment
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200
25.0
1
1
weeks
HORIZONTAL

SLIDER
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average-coupling-tendency
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NIL
HORIZONTAL

SLIDER
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234
275
267
average-test-frequency
average-test-frequency
0
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0.01
1
times/year
HORIZONTAL

PLOT
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1879
225
Populations
weeks
people
0.0
52.0
0.0
350.0
true
true
"set-plot-y-range 0 (initial-people + 50)" ""
PENS
"Sane" 1.0 0 -10899396 true "" "plot count turtles with [sane? = true]"
"Infected" 1.0 0 -2674135 true "" "plot count turtles with [known? = true]"
"Infectious" 1.0 0 -13345367 true "" "plot count turtles with [infected? = true]  - count turtles with [known? = true]"
"Vaccinated" 1.0 2 -7500403 true "plot count women with [vaccinated?]" "plot count women with [vaccinated? = true]"

SLIDER
16
83
188
116
initial-men
initial-men
0
1000
503.0
1
1
NIL
HORIZONTAL

SLIDER
16
47
188
80
initial-women
initial-women
0
1000
605.0
1
1
NIL
HORIZONTAL

SWITCH
70
10
184
43
relacion
relacion
0
1
-1000

CHOOSER
193
12
327
57
vaccine
vaccine
"vac1" "vac2" "vac3"
0

MONITOR
104
304
198
349
NIL
%vaccinated
17
1
11

PLOT
1262
10
1593
239
Prevalence of hpv type
NIL
NIL
0.0
10.0
0.0
10.0
true
true
"" ""
PENS
"vph 1" 1.0 0 -2674135 true "" "plot count turtles with [infected? = true and virus-type = 0]"
"vph 2" 1.0 0 -10141563 true "" "plot count turtles with [infected? = true and virus-type = 1]"
"vph 3" 1.0 0 -14070903 true "" "plot count turtles with [infected? = true and virus-type = 2]"
"vph 4" 1.0 0 -12087248 true "" "plot count turtles with [infected? = true and virus-type = 3]"

PLOT
1246
269
1576
469
progression of cc
NIL
NIL
0.0
10.0
0.0
10.0
true
true
"" ""
PENS
"cin 1" 1.0 0 -12345184 true "" "plot count turtles with [infected? = true and stage = 1]"
"cin 2" 1.0 0 -14439633 true "" "plot count turtles with [infected? = true and stage = 2]"
" cin 3" 1.0 0 -5298144 true "" "plot count turtles with [infected? = true and stage = 3]"
"cc" 1.0 0 -13297659 true "" "plot count turtles with [cancer? = true ]"

CHOOSER
190
67
328
112
version
version
"people" "nodes"
0

SLIDER
17
267
189
300
vr
vr
0
1
0.19355
0.0000001
1
NIL
HORIZONTAL

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


## HOW IT WORKS


## HOW TO USE IT

## THINGS TO NOTICE

## THINGS TO TRY

## EXTENDING THE MODEL

## NETLOGO FEATURES


## CREDITS AND REFERENCES


## HOW TO CITE

If you mention this model or the NetLogo software in a publication, we ask that you include the citations below.

For the model itself:

* Wilensky, U. (1997).  NetLogo AIDS model.  http://ccl.northwestern.edu/netlogo/models/AIDS.  Center for Connected Learning and Computer-Based Modeling, Northwestern University, Evanston, IL.

Please cite the NetLogo software as:

* Wilensky, U. (1999). NetLogo. http://ccl.northwestern.edu/netlogo/. Center for Connected Learning and Computer-Based Modeling, Northwestern University, Evanston, IL.

## COPYRIGHT AND LICENSE
@#$#@#$#@
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Circle -7500403 true true 116 41 127
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Circle -7500403 true true 104 74 152

triangle
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Polygon -7500403 true true 150 30 15 255 285 255

triangle 2
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Polygon -7500403 true true 150 30 15 255 285 255
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Polygon -7500403 true true 296 193 296 150 259 134 244 104 208 104 207 194
Rectangle -1 true false 195 60 195 105
Polygon -16777216 true false 238 112 252 141 219 141 218 112
Circle -16777216 true false 234 174 42
Rectangle -7500403 true true 181 185 214 194
Circle -16777216 true false 144 174 42
Circle -16777216 true false 24 174 42
Circle -7500403 false true 24 174 42
Circle -7500403 false true 144 174 42
Circle -7500403 false true 234 174 42

turtle
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0
Polygon -10899396 true false 215 204 240 233 246 254 228 266 215 252 193 210
Polygon -10899396 true false 195 90 225 75 245 75 260 89 269 108 261 124 240 105 225 105 210 105
Polygon -10899396 true false 105 90 75 75 55 75 40 89 31 108 39 124 60 105 75 105 90 105
Polygon -10899396 true false 132 85 134 64 107 51 108 17 150 2 192 18 192 52 169 65 172 87
Polygon -10899396 true false 85 204 60 233 54 254 72 266 85 252 107 210
Polygon -7500403 true true 119 75 179 75 209 101 224 135 220 225 175 261 128 261 81 224 74 135 88 99

wheel
false
0
Circle -7500403 true true 3 3 294
Circle -16777216 true false 30 30 240
Line -7500403 true 150 285 150 15
Line -7500403 true 15 150 285 150
Circle -7500403 true true 120 120 60
Line -7500403 true 216 40 79 269
Line -7500403 true 40 84 269 221
Line -7500403 true 40 216 269 79
Line -7500403 true 84 40 221 269

x
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Polygon -7500403 true true 270 75 225 30 30 225 75 270
Polygon -7500403 true true 30 75 75 30 270 225 225 270
@#$#@#$#@
NetLogo 6.0.2
@#$#@#$#@
@#$#@#$#@
@#$#@#$#@
<experiments>
  <experiment name="experiment_1" repetitions="2" runMetricsEveryStep="true">
    <setup>setup</setup>
    <go>go</go>
    <final>;nw:set-context turtles links
;nw:save-matrix "adyacencias-"behaviorspace-run-number".txt"
export-world "~/tesis/experiment1_run_"behaviorspace-run-number"png"</final>
    <timeLimit steps="20"/>
    <metric>count turtles</metric>
    <metric>count turtles with [known? = true]</metric>
    <metric>count turtles with [sane? = true]</metric>
    <metric>count turtles with [vaccinated? = true]</metric>
    <metric>count turtles with [infected? = true]</metric>
    <metric>count turtles with [infected? = true and virus-type = 0]</metric>
    <metric>count turtles with [infected? = true and virus-type = 1]</metric>
    <metric>count turtles with [infected? = true and virus-type = 2]</metric>
    <metric>count turtles with [infected? = true and virus-type = 3]</metric>
    <metric>count turtles with [infected? = true and stage = 1]</metric>
    <metric>count turtles with [infected? = true and stage = 2]</metric>
    <metric>count turtles with [infected? = true and stage = 3]</metric>
    <metric>count turtles with [infected? = true and stage = 4]</metric>
    <enumeratedValueSet variable="initial-men">
      <value value="414"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="average-coupling-tendency">
      <value value="9"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="vaccine">
      <value value="&quot;vac1&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="average-test-frequency">
      <value value="0.33"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="relacion">
      <value value="true"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="average-commitment">
      <value value="25"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="initial-women">
      <value value="643"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="vr">
      <value value="0.38"/>
    </enumeratedValueSet>
  </experiment>
  <experiment name="CONTROL" repetitions="100" runMetricsEveryStep="true">
    <setup>setup</setup>
    <go>go</go>
    <timeLimit steps="2048"/>
    <metric>count turtles with [known? = true]</metric>
    <metric>count turtles with [sane? = true]</metric>
    <metric>count turtles with [vaccinated? = true]</metric>
    <metric>count turtles with [infected? = true]</metric>
    <metric>count turtles with [infected? = true and virus-type = 0]</metric>
    <metric>count turtles with [infected? = true and virus-type = 1]</metric>
    <metric>count turtles with [infected? = true and virus-type = 2]</metric>
    <metric>count turtles with [infected? = true and virus-type = 3]</metric>
    <metric>count turtles with [infected? = true and stage = 1]</metric>
    <metric>count turtles with [infected? = true and stage = 2]</metric>
    <metric>count turtles with [infected? = true and stage = 3]</metric>
    <metric>count turtles with [infected? = true and stage = 4]</metric>
    <metric>"global-clustering-coefficient"</metric>
    <metric>"nw:clustering-coefficient of turtles"</metric>
    <enumeratedValueSet variable="average-coupling-tendency">
      <value value="9"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="vaccine">
      <value value="&quot;vac1&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="vr">
      <value value="0.38"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="initial-women">
      <value value="975"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="average-test-frequency">
      <value value="0.33"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="relacion">
      <value value="true"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="version">
      <value value="&quot;people&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="initial-men">
      <value value="414"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="average-commitment">
      <value value="25"/>
    </enumeratedValueSet>
  </experiment>
  <experiment name="E1" repetitions="100" runMetricsEveryStep="true">
    <setup>setup</setup>
    <go>go</go>
    <timeLimit steps="2048"/>
    <metric>count turtles with [known? = true]</metric>
    <metric>count turtles with [sane? = true]</metric>
    <metric>count turtles with [vaccinated? = true]</metric>
    <metric>count turtles with [infected? = true]</metric>
    <metric>count turtles with [infected? = true and virus-type = 0]</metric>
    <metric>count turtles with [infected? = true and virus-type = 1]</metric>
    <metric>count turtles with [infected? = true and virus-type = 2]</metric>
    <metric>count turtles with [infected? = true and virus-type = 3]</metric>
    <metric>count turtles with [infected? = true and stage = 1]</metric>
    <metric>count turtles with [infected? = true and stage = 2]</metric>
    <metric>count turtles with [infected? = true and stage = 3]</metric>
    <metric>count turtles with [infected? = true and stage = 4]</metric>
    <metric>"global-clustering-coefficient"</metric>
    <metric>"nw:clustering-coefficient of turtles"</metric>
    <enumeratedValueSet variable="average-coupling-tendency">
      <value value="9"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="vaccine">
      <value value="&quot;vac1&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="vr">
      <value value="0.58"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="initial-women">
      <value value="610"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="average-test-frequency">
      <value value="0.33"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="relacion">
      <value value="true"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="version">
      <value value="&quot;people&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="initial-men">
      <value value="500"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="average-commitment">
      <value value="12"/>
    </enumeratedValueSet>
  </experiment>
  <experiment name="E2" repetitions="100" runMetricsEveryStep="true">
    <setup>setup</setup>
    <go>go</go>
    <timeLimit steps="2048"/>
    <metric>count turtles with [known? = true]</metric>
    <metric>count turtles with [sane? = true]</metric>
    <metric>count turtles with [vaccinated? = true]</metric>
    <metric>count turtles with [infected? = true]</metric>
    <metric>count turtles with [infected? = true and virus-type = 0]</metric>
    <metric>count turtles with [infected? = true and virus-type = 1]</metric>
    <metric>count turtles with [infected? = true and virus-type = 2]</metric>
    <metric>count turtles with [infected? = true and virus-type = 3]</metric>
    <metric>count turtles with [infected? = true and stage = 1]</metric>
    <metric>count turtles with [infected? = true and stage = 2]</metric>
    <metric>count turtles with [infected? = true and stage = 3]</metric>
    <metric>count turtles with [infected? = true and stage = 4]</metric>
    <metric>"global-clustering-coefficient"</metric>
    <metric>"nw:clustering-coefficient of turtles"</metric>
    <enumeratedValueSet variable="average-coupling-tendency">
      <value value="9"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="vaccine">
      <value value="&quot;vac2&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="vr">
      <value value="0.58"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="initial-women">
      <value value="610"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="average-test-frequency">
      <value value="0.33"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="relacion">
      <value value="true"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="version">
      <value value="&quot;people&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="initial-men">
      <value value="500"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="average-commitment">
      <value value="12"/>
    </enumeratedValueSet>
  </experiment>
  <experiment name="E3" repetitions="100" runMetricsEveryStep="true">
    <setup>setup</setup>
    <go>go</go>
    <timeLimit steps="2048"/>
    <metric>count turtles with [known? = true]</metric>
    <metric>count turtles with [sane? = true]</metric>
    <metric>count turtles with [vaccinated? = true]</metric>
    <metric>count turtles with [infected? = true]</metric>
    <metric>count turtles with [infected? = true and virus-type = 0]</metric>
    <metric>count turtles with [infected? = true and virus-type = 1]</metric>
    <metric>count turtles with [infected? = true and virus-type = 2]</metric>
    <metric>count turtles with [infected? = true and virus-type = 3]</metric>
    <metric>count turtles with [infected? = true and stage = 1]</metric>
    <metric>count turtles with [infected? = true and stage = 2]</metric>
    <metric>count turtles with [infected? = true and stage = 3]</metric>
    <metric>count turtles with [infected? = true and stage = 4]</metric>
    <metric>"global-clustering-coefficient"</metric>
    <metric>"nw:clustering-coefficient of turtles"</metric>
    <enumeratedValueSet variable="average-coupling-tendency">
      <value value="5"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="vaccine">
      <value value="&quot;vac1&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="vr">
      <value value="0.7"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="initial-women">
      <value value="610"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="average-test-frequency">
      <value value="0.33"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="relacion">
      <value value="true"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="version">
      <value value="&quot;people&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="initial-men">
      <value value="500"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="average-commitment">
      <value value="25"/>
    </enumeratedValueSet>
  </experiment>
  <experiment name="E4" repetitions="100" runMetricsEveryStep="true">
    <setup>setup</setup>
    <go>go</go>
    <timeLimit steps="2048"/>
    <metric>count turtles with [known? = true]</metric>
    <metric>count turtles with [sane? = true]</metric>
    <metric>count turtles with [vaccinated? = true]</metric>
    <metric>count turtles with [infected? = true]</metric>
    <metric>count turtles with [infected? = true and virus-type = 0]</metric>
    <metric>count turtles with [infected? = true and virus-type = 1]</metric>
    <metric>count turtles with [infected? = true and virus-type = 2]</metric>
    <metric>count turtles with [infected? = true and virus-type = 3]</metric>
    <metric>count turtles with [infected? = true and stage = 1]</metric>
    <metric>count turtles with [infected? = true and stage = 2]</metric>
    <metric>count turtles with [infected? = true and stage = 3]</metric>
    <metric>count turtles with [infected? = true and stage = 4]</metric>
    <metric>"global-clustering-coefficient"</metric>
    <metric>"nw:clustering-coefficient of turtles"</metric>
    <enumeratedValueSet variable="average-coupling-tendency">
      <value value="5"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="vaccine">
      <value value="&quot;vac2&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="vr">
      <value value="0.7"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="initial-women">
      <value value="610"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="average-test-frequency">
      <value value="0.33"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="relacion">
      <value value="true"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="version">
      <value value="&quot;people&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="initial-men">
      <value value="500"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="average-commitment">
      <value value="25"/>
    </enumeratedValueSet>
  </experiment>
  <experiment name="E5" repetitions="100" runMetricsEveryStep="true">
    <setup>setup</setup>
    <go>go</go>
    <timeLimit steps="2048"/>
    <metric>count turtles with [known? = true]</metric>
    <metric>count turtles with [sane? = true]</metric>
    <metric>count turtles with [vaccinated? = true]</metric>
    <metric>count turtles with [infected? = true]</metric>
    <metric>count turtles with [infected? = true and virus-type = 0]</metric>
    <metric>count turtles with [infected? = true and virus-type = 1]</metric>
    <metric>count turtles with [infected? = true and virus-type = 2]</metric>
    <metric>count turtles with [infected? = true and virus-type = 3]</metric>
    <metric>count turtles with [infected? = true and stage = 1]</metric>
    <metric>count turtles with [infected? = true and stage = 2]</metric>
    <metric>count turtles with [infected? = true and stage = 3]</metric>
    <metric>count turtles with [infected? = true and stage = 4]</metric>
    <metric>"global-clustering-coefficient"</metric>
    <metric>"nw:clustering-coefficient of turtles"</metric>
    <enumeratedValueSet variable="average-coupling-tendency">
      <value value="3"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="vaccine">
      <value value="&quot;vac1&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="vr">
      <value value="0.18"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="initial-women">
      <value value="610"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="average-test-frequency">
      <value value="0.33"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="relacion">
      <value value="true"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="version">
      <value value="&quot;people&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="initial-men">
      <value value="500"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="average-commitment">
      <value value="12"/>
    </enumeratedValueSet>
  </experiment>
  <experiment name="E6" repetitions="100" runMetricsEveryStep="true">
    <setup>setup</setup>
    <go>go</go>
    <timeLimit steps="2048"/>
    <metric>count turtles with [known? = true]</metric>
    <metric>count turtles with [sane? = true]</metric>
    <metric>count turtles with [vaccinated? = true]</metric>
    <metric>count turtles with [infected? = true]</metric>
    <metric>count turtles with [infected? = true and virus-type = 0]</metric>
    <metric>count turtles with [infected? = true and virus-type = 1]</metric>
    <metric>count turtles with [infected? = true and virus-type = 2]</metric>
    <metric>count turtles with [infected? = true and virus-type = 3]</metric>
    <metric>count turtles with [infected? = true and stage = 1]</metric>
    <metric>count turtles with [infected? = true and stage = 2]</metric>
    <metric>count turtles with [infected? = true and stage = 3]</metric>
    <metric>count turtles with [infected? = true and stage = 4]</metric>
    <metric>"global-clustering-coefficient"</metric>
    <metric>"nw:clustering-coefficient of turtles"</metric>
    <enumeratedValueSet variable="average-coupling-tendency">
      <value value="3"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="vaccine">
      <value value="&quot;vac2&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="vr">
      <value value="0.18"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="initial-women">
      <value value="610"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="average-test-frequency">
      <value value="0.33"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="relacion">
      <value value="true"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="version">
      <value value="&quot;people&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="initial-men">
      <value value="500"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="average-commitment">
      <value value="12"/>
    </enumeratedValueSet>
  </experiment>
  <experiment name="E7" repetitions="100" runMetricsEveryStep="true">
    <setup>setup</setup>
    <go>go</go>
    <timeLimit steps="2048"/>
    <metric>count turtles with [known? = true]</metric>
    <metric>count turtles with [sane? = true]</metric>
    <metric>count turtles with [vaccinated? = true]</metric>
    <metric>count turtles with [infected? = true]</metric>
    <metric>count turtles with [infected? = true and virus-type = 0]</metric>
    <metric>count turtles with [infected? = true and virus-type = 1]</metric>
    <metric>count turtles with [infected? = true and virus-type = 2]</metric>
    <metric>count turtles with [infected? = true and virus-type = 3]</metric>
    <metric>count turtles with [infected? = true and stage = 1]</metric>
    <metric>count turtles with [infected? = true and stage = 2]</metric>
    <metric>count turtles with [infected? = true and stage = 3]</metric>
    <metric>count turtles with [infected? = true and stage = 4]</metric>
    <metric>"global-clustering-coefficient"</metric>
    <metric>"nw:clustering-coefficient of turtles"</metric>
    <enumeratedValueSet variable="average-coupling-tendency">
      <value value="9"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="vaccine">
      <value value="&quot;vac3&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="vr">
      <value value="0.58"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="initial-women">
      <value value="610"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="average-test-frequency">
      <value value="0.33"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="relacion">
      <value value="true"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="version">
      <value value="&quot;people&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="initial-men">
      <value value="500"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="average-commitment">
      <value value="12"/>
    </enumeratedValueSet>
  </experiment>
  <experiment name="E8" repetitions="100" runMetricsEveryStep="true">
    <setup>setup</setup>
    <go>go</go>
    <timeLimit steps="2048"/>
    <metric>count turtles with [known? = true]</metric>
    <metric>count turtles with [sane? = true]</metric>
    <metric>count turtles with [vaccinated? = true]</metric>
    <metric>count turtles with [infected? = true]</metric>
    <metric>count turtles with [infected? = true and virus-type = 0]</metric>
    <metric>count turtles with [infected? = true and virus-type = 1]</metric>
    <metric>count turtles with [infected? = true and virus-type = 2]</metric>
    <metric>count turtles with [infected? = true and virus-type = 3]</metric>
    <metric>count turtles with [infected? = true and stage = 1]</metric>
    <metric>count turtles with [infected? = true and stage = 2]</metric>
    <metric>count turtles with [infected? = true and stage = 3]</metric>
    <metric>count turtles with [infected? = true and stage = 4]</metric>
    <metric>"global-clustering-coefficient"</metric>
    <metric>"nw:clustering-coefficient of turtles"</metric>
    <enumeratedValueSet variable="average-coupling-tendency">
      <value value="5"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="vaccine">
      <value value="&quot;vac3&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="vr">
      <value value="0.7"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="initial-women">
      <value value="610"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="average-test-frequency">
      <value value="0.33"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="relacion">
      <value value="true"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="version">
      <value value="&quot;people&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="initial-men">
      <value value="500"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="average-commitment">
      <value value="25"/>
    </enumeratedValueSet>
  </experiment>
  <experiment name="experiment_1" repetitions="100" runMetricsEveryStep="true">
    <setup>setup</setup>
    <go>go</go>
    <timeLimit steps="2400"/>
    <metric>(count turtles with [known? = true]) / (count turtles)</metric>
    <metric>(count turtles with [sane? = true]) / (count turtles)</metric>
    <metric>(count turtles with [vaccinated? = true])/ (count turtles)</metric>
    <metric>(count turtles with [infected? = true])/ (count turtles)</metric>
    <metric>(count turtles with [vaccinated? = true and infected? = true and virus-type = 0])/ (count turtles)</metric>
    <metric>(count turtles with [vaccinated? = true and infected? = true and virus-type = 1])/ (count turtles)</metric>
    <metric>(count turtles with [vaccinated? = true and infected? = true and virus-type = 2])/ (count turtles)</metric>
    <metric>(count turtles with [vaccinated? = true and infected? = true and virus-type = 3])/ (count turtles)</metric>
    <metric>(count turtles with [infected? = true and virus-type = 0])/ (count turtles)</metric>
    <metric>(count turtles with [infected? = true and virus-type = 1])/ (count turtles)</metric>
    <metric>(count turtles with [infected? = true and virus-type = 2])/ (count turtles)</metric>
    <metric>(count turtles with [infected? = true and virus-type = 3])/ (count turtles)</metric>
    <metric>(count turtles with [infected? = true and stage = 1])/ (count turtles)</metric>
    <metric>(count turtles with [infected? = true and stage = 2])/ (count turtles)</metric>
    <metric>(count turtles with [infected? = true and stage = 3])/ (count turtles)</metric>
    <metric>(count turtles with [infected? = true and stage = 4])/ (count turtles)</metric>
    <enumeratedValueSet variable="average-coupling-tendency">
      <value value="9"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="vaccine">
      <value value="&quot;vac1&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="vr">
      <value value="0.19355"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="initial-women">
      <value value="605"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="initial-men">
      <value value="503"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="relacion">
      <value value="true"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="average-test-frequency">
      <value value="0.33"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="version">
      <value value="&quot;people&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="average-commitment">
      <value value="14"/>
    </enumeratedValueSet>
  </experiment>
  <experiment name="experiment_3" repetitions="100" runMetricsEveryStep="true">
    <setup>setup</setup>
    <go>go</go>
    <timeLimit steps="2400"/>
    <metric>(count turtles with [known? = true]) / (count turtles)</metric>
    <metric>(count turtles with [sane? = true]) / (count turtles)</metric>
    <metric>(count turtles with [vaccinated? = true])/ (count turtles)</metric>
    <metric>(count turtles with [infected? = true])/ (count turtles)</metric>
    <metric>(count turtles with [vaccinated? = true and infected? = true and virus-type = 0])/ (count turtles)</metric>
    <metric>(count turtles with [vaccinated? = true and infected? = true and virus-type = 1])/ (count turtles)</metric>
    <metric>(count turtles with [vaccinated? = true and infected? = true and virus-type = 2])/ (count turtles)</metric>
    <metric>(count turtles with [vaccinated? = true and infected? = true and virus-type = 3])/ (count turtles)</metric>
    <metric>(count turtles with [infected? = true and virus-type = 0])/ (count turtles)</metric>
    <metric>(count turtles with [infected? = true and virus-type = 1])/ (count turtles)</metric>
    <metric>(count turtles with [infected? = true and virus-type = 2])/ (count turtles)</metric>
    <metric>(count turtles with [infected? = true and virus-type = 3])/ (count turtles)</metric>
    <metric>(count turtles with [infected? = true and stage = 1])/ (count turtles)</metric>
    <metric>(count turtles with [infected? = true and stage = 2])/ (count turtles)</metric>
    <metric>(count turtles with [infected? = true and stage = 3])/ (count turtles)</metric>
    <metric>(count turtles with [infected? = true and stage = 4])/ (count turtles)</metric>
    <enumeratedValueSet variable="average-coupling-tendency">
      <value value="9"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="vaccine">
      <value value="&quot;vac1&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="vr">
      <value value="0.19355"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="initial-women">
      <value value="605"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="average-test-frequency">
      <value value="0.33"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="version">
      <value value="&quot;people&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="relacion">
      <value value="true"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="initial-men">
      <value value="503"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="average-commitment">
      <value value="52"/>
    </enumeratedValueSet>
  </experiment>
  <experiment name="experiment_2" repetitions="100" runMetricsEveryStep="true">
    <setup>setup</setup>
    <go>go</go>
    <timeLimit steps="2400"/>
    <metric>(count turtles with [known? = true]) / (count turtles)</metric>
    <metric>(count turtles with [sane? = true]) / (count turtles)</metric>
    <metric>(count turtles with [vaccinated? = true])/ (count turtles)</metric>
    <metric>(count turtles with [infected? = true])/ (count turtles)</metric>
    <metric>(count turtles with [vaccinated? = true and infected? = true and virus-type = 0])/ (count turtles)</metric>
    <metric>(count turtles with [vaccinated? = true and infected? = true and virus-type = 1])/ (count turtles)</metric>
    <metric>(count turtles with [vaccinated? = true and infected? = true and virus-type = 2])/ (count turtles)</metric>
    <metric>(count turtles with [vaccinated? = true and infected? = true and virus-type = 3])/ (count turtles)</metric>
    <metric>(count turtles with [infected? = true and virus-type = 0])/ (count turtles)</metric>
    <metric>(count turtles with [infected? = true and virus-type = 1])/ (count turtles)</metric>
    <metric>(count turtles with [infected? = true and virus-type = 2])/ (count turtles)</metric>
    <metric>(count turtles with [infected? = true and virus-type = 3])/ (count turtles)</metric>
    <metric>(count turtles with [infected? = true and stage = 1])/ (count turtles)</metric>
    <metric>(count turtles with [infected? = true and stage = 2])/ (count turtles)</metric>
    <metric>(count turtles with [infected? = true and stage = 3])/ (count turtles)</metric>
    <metric>(count turtles with [infected? = true and stage = 4])/ (count turtles)</metric>
    <enumeratedValueSet variable="average-coupling-tendency">
      <value value="9"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="vaccine">
      <value value="&quot;vac1&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="vr">
      <value value="0.19355"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="initial-women">
      <value value="605"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="average-test-frequency">
      <value value="0.33"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="version">
      <value value="&quot;people&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="relacion">
      <value value="true"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="initial-men">
      <value value="503"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="average-commitment">
      <value value="25"/>
    </enumeratedValueSet>
  </experiment>
</experiments>
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