从第一个滴答NetLogo报告值数组

Question

我正在编写一些代码，为流感正在流行的人群接种疫苗。该代码有两种名为HOV和HEV的疫苗。 HOV给我想要靶向的人群比例提供相同的疫苗株。 HEV给予该比例不同的疫苗株（随机测定）。

我想要一行代码，在每次模拟的第一个刻度中报告每只海龟的免疫状态。免疫状态在该模型中由整数表示，因此不同的龟将具有不同的免疫标签，这取决于它们是否接种疫苗。我希望在最终的BehaviourSpace .csv输出中，每次运行的第一个滴答中包含所有海龟的免疫标签数组的列。

我的代码如下：

extensions [csv]
globals [strain_list_list epidemic-threshold cumulative-infections proportion-of-infection currently-infected peak-prevalence vax-strain]
turtles-own [infection-period infection-number tflu-strain immune-label ant-distance cross-immunity]
patches-own [fomite-age pflu-strain]

to setup
  clear-all
  setup-turtles
  reset-ticks
end

to setup-turtles
  create-turtles 100
  ask turtles [setxy random-xcor random-ycor]
  ask turtles [set color white set infection-number 0 set immune-label -999999999999 set tflu-strain -999999999999]
  ask one-of turtles [set color red set infection-period 0 set infection-number 1 set immune-label 0 set tflu-strain 0]
  if vaccine = "HOV" [
    ifelse (one-of [1 2] = 1) [
      set vax-strain (random ((2 * drift-size) + 1))]
    [set vax-strain (-1 * random ((2 * drift-size) + 1))]
  ask n-of prop-vax turtles with [color = white] [set color blue set immune-label vax-strain]
  ]
  if vaccine = "HEV" [
    let vax-turtles (list turtles with [color = blue])
    ask n-of prop-vax turtles with [color = white] [set color blue] 
    foreach [vax-turtles] [
      ifelse (one-of [1 2] = 1) [
      set vax-strain (random ((2 * drift-size) + 1))]
    [set vax-strain (-1 * random ((2 * drift-size) + 1))]
      ]
    ]
  set epidemic-threshold "no"
  set cumulative-infections 0
  set peak-prevalence 0
end

to go
  if ticks = flu-season-length [stop]
  move-infecteds
  move-uninfecteds
  transmit
  mutate
  update-immunity
  track-infecteds
  set cumulative-infections (count turtles with [infection-period = 1] + cumulative-infections)
  set proportion-of-infection (100 - (count turtles with [immune-label = -999999999999]))
  set currently-infected (count turtles with [infection-period = 1])
  tick
end

to move-infecteds ;; infected turtles move slower than uninfected ones and always transmit infection to patches before they leave them
  ask turtles with [color = red] [
  if pcolor = black [
      set pcolor red
    set fomite-age 0
    set pflu-strain tflu-strain]
  right random 360
  forward 3
]
end

to transmit ;; uninfected turtles are infected by fomites (red patches) with some probability. immune-labelling currently first infection
  ask turtles with [color = white or color = blue and pcolor = red] [
    if immune-label != pflu-strain [
      set ant-distance (abs (immune-label - pflu-strain))
      set cross-immunity (natural-immunity * (1 - (ant-distance / antigenic-distance-limit)))
    if cross-immunity < 0 [set cross-immunity 0]
    if random 100 < (((100 - cross-immunity) / 100) * probability-of-infection)
      [set color red set infection-period 0 set infection-number infection-number + 1 set tflu-strain pflu-strain]
        ] 
  if immune-label = pflu-strain [ 
    if random 100 < (((100 - natural-immunity) / 100) * probability-of-infection)
      [set color red set infection-period 0 set infection-number infection-number + 1 set tflu-strain pflu-strain]
    ] 
]
end

to mutate ;; some probability of mutation (change in strain label) when an individual receives infection from a patch
  ifelse in-host [
    ask turtles with [color = red] [
     if random 100 < probability-of-mutation [
      ifelse (one-of [1 2] = 1) [
      set tflu-strain (tflu-strain + (random (drift-size + 1)))]
      [set tflu-strain (tflu-strain - (random (drift-size + 1)))]
     ]
    ]
   ]
  [ask turtles with [color = red and infection-period = 0] [
     if random 100 < probability-of-mutation [
      ifelse (one-of [1 2] = 1) [
      set tflu-strain (tflu-strain + (random (drift-size + 1)))]
      [set tflu-strain (tflu-strain - (random (drift-size + 1)))]
      ]
     ]
    ]
end

to update-immunity
  ask turtles with [color = red and infection-period = 0] [
    ifelse immune-labelling = "first-infection" [
  if immune-label = -999999999999 [
        set immune-label tflu-strain]]
  [set immune-label tflu-strain]
]
end

 to track-infecteds ;; turtles with given infection period should become uninfected
  ask turtles with [color = red] [
    set infection-period infection-period + 1
  if infection-period = age-infection-max [
    set color white set infection-period 0 set tflu-strain -999999999999
    ]
  ]
  ask patches with [pcolor = red] [
  set fomite-age fomite-age + 1
  if fomite-age > max-fomite-persistence [
  set pcolor black
    ]
  ]
end

任何建议都将不胜感激！谢谢！

Answer 1

第二个想法 - 我想我找到了答案！我基本上创建了一个列表，列出了一旦setup命令完成就存储免疫标签。我的更新代码如下：

extensions [csv]
globals [initial-immunity-array epidemic-threshold cumulative-infections proportion-of-infection currently-infected peak-prevalence vax-strain] 
turtles-own [infection-period infection-number tflu-strain immune-label ant-distance cross-immunity]
patches-own [fomite-age pflu-strain]

to setup
  clear-all
  setup-turtles
  set initial-immunity-array (list t-sorted-immunity-list)
  print initial-immunity-array
  reset-ticks
end

to setup-turtles
  create-turtles 100
  ask turtles [setxy random-xcor random-ycor]
  ask turtles [set color white set infection-number 0 set immune-label -999999999999 set tflu-strain -999999999999 set vax-strain -999999999999]
  ask one-of turtles [set color red set infection-period 0 set infection-number 1 set immune-label 0 set tflu-strain 0]
  if vaccine = "HEV" [
    ask n-of prop-vax turtles with [color = white] [set color blue]
    ask turtles with [color = blue] [
    ifelse (one-of [1 2] = 1) [
      set vax-strain (random ((2 * drift-size) + 1))]
    [set vax-strain (-1 * random ((2 * drift-size) + 1))]
   set immune-label vax-strain
    ]
  ]
  if vaccine = "HOV" [
    ask n-of prop-vax turtles with [color = white] [set color blue]
    ifelse (one-of [1 2] = 1) [
      set vax-strain (random ((2 * drift-size) + 1))]
    [set vax-strain (-1 * random ((2 * drift-size) + 1))]
    ask turtles with [color = blue] [set immune-label vax-strain
    ]
  ]  
  set epidemic-threshold "no"
  set cumulative-infections 0
  set peak-prevalence 0
end

to-report t-sorted-immunity-list
  report map [i -> [immune-label] of i] sort turtles
end

to go
  if ticks = flu-season-length [stop]
  move-infecteds
  move-uninfecteds
  transmit
  mutate
  update-immunity
  track-infecteds
  show-strains
  track-epidemic
  set cumulative-infections (count turtles with [infection-period = 1] + cumulative-infections)
  set proportion-of-infection (100 - (count turtles with [immune-label = -999999999999]))
  set currently-infected (count turtles with [infection-period = 1])
end