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SIR_SD.nlogo
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; NetLogo code by Mayfield Reynolds 07/26/2012
; Based on Spread of SARS module by Drs. Shiflet
globals[
interactions]
to setup
ca
system-dynamics-setup
set-plot-y-range 0 susceptibles
end
to go
system-dynamics-go
system-dynamics-do-plot
if infecteds_ < 1 [stop]
;print get_sick
;print recover_
set interactions interactions + 1
end
@#$#@#$#@
GRAPHICS-WINDOW
133
165
378
358
16
16
4.91
1
10
1
1
1
0
1
1
1
-16
16
-16
16
0
0
1
ticks
30.0
BUTTON
141
17
205
50
Setup
setup
NIL
1
T
OBSERVER
NIL
S
NIL
NIL
1
BUTTON
224
17
287
50
Go
go
T
1
T
OBSERVER
NIL
G
NIL
NIL
1
SLIDER
185
106
357
139
recoveryRate
recoveryRate
0
1
0.5
.01
1
NIL
HORIZONTAL
INPUTBOX
89
74
158
134
susceptibles
2500
1
0
Number
PLOT
52
161
425
419
SIR(SD)
Days
NIL
0.0
10.0
0.0
10.0
true
true
"" ""
PENS
"susceptibles_" 1.0 0 -13840069 true "" ""
"infecteds_" 1.0 0 -2674135 true "" ""
"recovereds_" 1.0 0 -11221820 true "" ""
INPUTBOX
374
80
529
140
infectionRate
0.002
1
0
Number
MONITOR
438
163
509
208
NIL
infecteds_
17
1
11
BUTTON
303
17
366
50
NIL
go
NIL
1
T
OBSERVER
NIL
NIL
NIL
NIL
1
@#$#@#$#@
## WHAT IS IT?
This is a system dynamic (SD) version of the SIR model.
## HOW IT WORKS
In the system dynamics model, one person is infected at start. Infected people can infect susceptible people. The population of infected will always increase by (number of infected * number of susceptibles * InfectionRate * change in time dt). The infected people may recover. The amount of people that will recover in an iteration is always equal to (number of infected * RecoveryRate * change in time dt).
## HOW TO USE IT
Press setup to set up the enviornment.
Use the sliders to set the paramters.
Press go to run the model.
## RELATED MODELS
I have built SIR model using three other different approaches, including Agent-Based Modeling, Cellular Automata, and Discrete Event Simulation.
The models are posted on my blog: http://geospatialcss.blogspot.com
## CREDITS AND REFERENCES
Shiflet, A. B., & Shiflet, G. W. (2014). Introduction to computational science: modeling and simulation for the sciences. Princeton University Press.
@#$#@#$#@
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@#$#@#$#@
NetLogo 5.3.1
@#$#@#$#@
@#$#@#$#@
0.001
org.nlogo.sdm.gui.AggregateDrawing 12
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org.nlogo.sdm.gui.WrappedConverter "infectionRate" "infection_rate"
org.nlogo.sdm.gui.StockFigure "attributes" "attributes" 1 "FillColor" "Color" 225 225 182 110 189 60 40
org.nlogo.sdm.gui.WrappedStock "susceptibles_" "susceptibles" 1
org.nlogo.sdm.gui.StockFigure "attributes" "attributes" 1 "FillColor" "Color" 225 225 182 347 189 60 40
org.nlogo.sdm.gui.WrappedStock "infecteds_" "1" 1
org.nlogo.sdm.gui.StockFigure "attributes" "attributes" 1 "FillColor" "Color" 225 225 182 589 189 60 40
org.nlogo.sdm.gui.WrappedStock "recovereds_" "0" 1
org.nlogo.sdm.gui.RateConnection 3 182 209 258 209 335 209 NULL NULL 0 0 0
org.jhotdraw.standard.ChopBoxConnector REF 3
org.jhotdraw.standard.ChopBoxConnector REF 5
org.nlogo.sdm.gui.WrappedRate "infection_rate * susceptibles_ * infecteds_" "get_sick" REF 4 REF 6 0
org.nlogo.sdm.gui.RateConnection 3 419 209 498 209 577 209 NULL NULL 0 0 0
org.jhotdraw.standard.ChopBoxConnector REF 5
org.jhotdraw.standard.ChopBoxConnector REF 7
org.nlogo.sdm.gui.WrappedRate "recovery_rate * infecteds_" "recover_" REF 6 REF 8 0
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org.jhotdraw.contrib.ChopDiamondConnector REF 1
org.nlogo.sdm.gui.ChopRateConnector REF 9
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org.jhotdraw.standard.ChopBoxConnector REF 5
org.nlogo.sdm.gui.ChopRateConnector REF 13
org.nlogo.sdm.gui.ConverterFigure "attributes" "attributes" 1 "FillColor" "Color" 130 188 183 467 306 50 50
org.nlogo.sdm.gui.WrappedConverter "recoveryRate" "recovery_rate"
org.nlogo.sdm.gui.BindingConnection 2 493 307 498 209 NULL NULL 0 0 0
org.jhotdraw.contrib.ChopDiamondConnector REF 29
org.nlogo.sdm.gui.ChopRateConnector REF 13
@#$#@#$#@
<experiments>
<experiment name="experiment" repetitions="1" runMetricsEveryStep="true">
<setup>setup</setup>
<go>go</go>
<metric>infecteds_</metric>
<metric>recovereds_</metric>
<metric>susceptibles_</metric>
<enumeratedValueSet variable="susceptibles">
<value value="2500"/>
</enumeratedValueSet>
<enumeratedValueSet variable="recoveryRate">
<value value="0.5"/>
</enumeratedValueSet>
<enumeratedValueSet variable="infectionRate">
<value value="0.002"/>
</enumeratedValueSet>
</experiment>
</experiments>
@#$#@#$#@
@#$#@#$#@
default
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0.0 1 1.0 0.0
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link direction
true
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Line -7500403 true 150 150 90 180
Line -7500403 true 150 150 210 180
@#$#@#$#@
0
@#$#@#$#@