Infectious Disease Outbreak (COVID-19)-Social Distancing

1 collaborator

lin xiang (Author)

WHAT IS IT?

This model simulates the impact of social distancing (SD) on infectious disease outbreak dynamics in a population. In particular, it allows users to explore the effects of different social distancing spaces and the percentage of people who practice SD on the infectious disease outbreak dynamics.

HOW IT WORKS

The model starts with a human population of 600 persons in which one person (orange color) is infected, and the rest of the people are susceptible (green color). The infected case passes the disease to one of the susceptible people within a radius of 1.5 at a transmission rate of 90%. The infected people are able to transmit the disease for 14 days. By the 15th day of being infected, the infected people either die (disappear from the model) at mortality of 20% or recover and become immune (blue color).

Buttons, Sliders, and Switches:

The "Set up/Reset" button is self-explanatory. So are the buttons of "Run/Pause" and "Run a day".
The "Watch 1 Infected Case" button allows you to focus on a single infected person. You may see this person eventually recover or die.
The slider " social distancing" determines the space that people need to maintain when practicing SD. People do not practice social distancing when "social distancing" is 0.0. When "social distancing" is greater than 0, people who practice SD maintain a corresponding distance from another person, if possible.
The slider "%-People-practicing-SD" determines the likelihood that people practice SD. No one practices SD when "%-People-practicing-SD" is 0.0.

HOW TO USE IT

First, choose the desired value for "social distancing" and "%-People-practicing-SD".
Click on "Set up/Reset", then "Run/Pause".The model is initially set to stop on the 180th day. Change the number in "Days" if you want to run the model for a longer or shorter time.
Observe the infection changes in the population in the plot and monitors.
Use "Run one day" to run the model in a controlled way and collecting day-by-day data.

THINGS TO TRY

There are so many things you can try in this model. Here are only very a few quick ideas to explore:

How far should people stay away from each other to decrease infection if the disease is passed to other people within a radius of 1.5?
How many percent of people should practice social distancing to significantly flatten the infection curve?

RELATED MODELS

Find more epidemic models at 3dsciencemodeling.com/COVID-19

CREDITS AND REFERENCES

Dr. Lin Xiang ([lin.xiang@uky.edu] (mailto:lin.xiang@uky.edu)) created this module at the University of Kentucky in 2020. If you mention this model in a publication, we ask that you include the citations below.

Xiang, L. (2020). Infectious Disease Outbreak-Social Distancing. Department of STEM Education, University of Kentucky, Lexington, KY.

Comments and Questions

Please start the discussion about this model! (You'll first need to log in.)

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;; This model is developed by Dr. Lin Xiang at the University of Kentucky. Contact: lin.xiang@uky.edu
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turtles-own [day]
globals [LM max-daily-cases]

to-report sick-time
  report round day / 30
end 

to setup
  ca
  crt 600
  [set color 68
    set-turtles]

  ask one-of turtles
  [set color 25]

  set LM 0

  reset-ticks
end 

to go
  if ticks > Days * 10  [stop]
  social-ditancing
  transmission
  sickness
  find-max-daily-cases
  tick
end 

to social-ditancing
  ask turtles [
    ifelse random 100 < %-People-practicing-SD
    [ifelse any? other turtles in-cone Social-distancing 180
    [rt random-float 360]
      [fd 0.1]]
    [fd 0.1]
  ]
end 

to add-1-case
  crt 1
  [set color 25
   set-turtles
  ]
end 

to transmission
  ask turtles with [color = 25]
  [let healthy-perosn one-of other turtles with [color = 68] in-radius 1.5
    if healthy-perosn != nobody
    [ask healthy-perosn
      [if random 100 < 90 [set color 25]]
    ]
  ]
end 

to sickness
  ask turtles with [color = 25]
  [ set day day + 1
    if  day  >= 150
    [ifelse random 100 < 20
      [set LM LM + 1  die]
      [set color blue]]
  ]
end 

to set-turtles
    set shape "person-1"
    set size 1.75
    set day 0
    setxy random-xcor random-ycor
end 

to find-max-daily-cases
  if count turtles with [color = orange ] > max-daily-cases        ;Count the infectious. If it is greater than the current record of max daily cases
  [set max-daily-cases count turtles with [color = orange ]]       ;update the max daily case
end

There are 10 versions of this model.

Uploaded by	When	Description	Download
lin xiang	over 3 years ago	Minor adjustment	Download this version
lin xiang	over 3 years ago	adjust the interface	Download this version
lin xiang	over 3 years ago	Minor adjustment	Download this version
lin xiang	over 3 years ago	Adjust Time	Download this version
lin xiang	over 4 years ago	Add in max daily cases	Download this version
lin xiang	over 5 years ago	Fix time	Download this version
lin xiang	over 5 years ago	Add in both social distancing space and percentage of people who practice social distancing.	Download this version
lin xiang	over 5 years ago	Adjust the agent speed	Download this version
lin xiang	over 5 years ago	Adjust the speed	Download this version
lin xiang	over 5 years ago	Initial upload	Download this version

Attached files

File	Type	Description	Last updated
Infectious Disease Outbreak (COVID-19)-Social Distancing.png	preview	Preview for 'Infectious Disease Outbreak (COVID-19)-Social Distancing'	over 5 years ago, by lin xiang	Download

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