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
- Python 3.7
- Java Development Kit 8 (JDK 8)
- Apache Maven 3.x
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
- Push "Select IndoorGML data file(3D version)" button
- Select IndoorGML data file
- Push "Select SIMOGen movement data" button
- Select object movement data created using SIMOGen
- Enter initial number of infected people
- Enter the default infection rate
- Enter the threshold distance
- 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
Author
| Name | Affiliation | |
|---|---|---|
| Arman Assankhanov | arman@pusan.ac.kr | Pusan National University |