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InCOVID - Virus propagation model in indoor space

InCOVID is intended to show how the virus can spread in indoor space and visualize it in 3D using Indoor GML data.

Dependencies

SIMOGen : To generate objects movement data

Prerequisites

Getting Started

  • To install the packages type in the console
$ pip install -r requirements.txt
  • To run the program
$ cd src
$ python InCOVID.py

Usage

menu

  1. Push "Select IndoorGML file" button
  2. Select IndoorGML data file
  3. Push "Select SIMOGen movement data" button
  4. Select object movement data created using SIMOGen
  5. Enter initial number of infected people
  6. Enter the default infection rate
  7. Enter the threshold distance
  8. Enter the incubation period(days)
  9. Push "Start" button

Main Features

  • Visualization of virus propagation model in 3D
  • Timeline of the infection cases
  • Graph representations of the infection data
  • Possibility to see infection case coordinates in the indoor space

virusPropagationModel

  • Analyze each infection case more in detail
  • Network tree of infections

virusPropagationModel2

Author

Name E-mail Affiliation
Arman Assankhanov [email protected] Pusan National University

License

MIT License

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