Infectious Disease Outbreak (COVID-19)
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;; ;; This model is developed by Dr. Lin Xiang at the University of Kentucky. Contact: lin.xiang@uky.edu ;; ;; If you see this page rather than a "download" button when downloading the model, click the "download" icon ;; in your browser to download this model file. ;; ;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; turtles-own[day] Globals [RM LM current-distance max-cases-L max-cases-r] to-report divider ;label the divider patches report patches with [ abs pxcor <= 1 and abs pycor < max-pycor] end to-report left-population ;call all the turtles at the left report turtles with [xcor <= 0] end to-report right-population ;call all the turtles at the right report turtles with [xcor > 0] end ;;;;;;;;;;;;;;;;;;;;main setup procedures;;;;;;;;;;;;;; to setup clear-all setup-patches setup-turtles reset-ticks end to setup-patches ask patches with [ abs pxcor = max-pxcor ] [set pcolor 116] ;setup boundary ask patches with [ abs pycor = max-pycor ] [set pcolor 116] ;setup boundary ask divider [set pcolor 47] ;set divider end to setup-turtles create-turtles Right-population-size ;set up the right population [set color 68 set size 1.75 set shape "person-1" setxy 2 + random-float 43 25 - random-float 50 ;randomize turtle positions at right ] create-turtles Left-population-size ;set up the left population [set color 68 set size 1.75 set shape "person-1" setxy (-1) * (2 + random-float 43) 25 - random-float 50 ;randomize turtle positions at left ] end ;;;;;;;;;;;;;;;;;;;;main go procedures;;;;;;;;;;;;;; to go if ticks >= Days [stop] ask turtles with [pcolor = 47][set xcor xcor * 5] move transmission sickness find-max-daily-cases tick end to move ask left-population ;control turtles' movement at the left [ifelse [pcolor] of patch-ahead 1 = 0 [forward Mobility-left rt random 360] [set heading heading - random 180]] ask right-population ;control turtles' movement at the right [ifelse [pcolor] of patch-ahead 1 = 0 [forward Mobility-right rt random 360] [set heading heading - random 180]] end to add-an-infected-person-at-left create-turtles 1 [set size 1.75 set shape "person-1" set color orange setxy (-1) * (1 + random-float 39) 24 - random-float 47] end to add-an-infected-person-at-right create-turtles 1 [set size 1.75 set shape "person-1" set color orange setxy 1 + random-float 39 24 - random-float 47] end to transmission ;set up transmission ask turtles with [color = orange] [let healthy-person one-of other turtles in-radius 1.5 with [color = 68] if healthy-person != nobody [ask healthy-person [ if random 100 < Transmission-rate [set color orange]]] ] end to sickness ;set up recovery or death ask turtles with [color = orange] [set day day + 1 if day >= 15 [ifelse random 100 < mortality [ifelse xcor >= 0 [set RM RM + 1][set LM LM + 1] die ] [set color blue] ] ] end to watch-a-sick-person watch one-of turtles with [color = orange] end to find-max-daily-cases if count turtles with [color = orange and xcor <= 0] > max-cases-l [set max-cases-l count turtles with [color = orange and xcor <= 0]] if count turtles with [color = orange and xcor > 0] > max-cases-r [set max-cases-r count turtles with [color = orange and xcor > 0]] end
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Pradeesh K V
Good Model
The idea of splitting the model to show two parallel populations is a very good idea. It helps in a way to treat the model as a controlled experiment, with policies implemented on one side and without policies on the other side. Presently you have considered only one policy option which is restriction on mobility. You may also consider quarantine and isolation as additional policy options. Best,
Posted over 4 years ago
lin xiang
Thanks
Yes, we do a series of six models of COVID-19. One of them shows quarantine and isolation at here http://modelingcommons.org/browse/one_model/6276
Posted over 4 years ago