InCOVID is intended to show how the virus can spread in indoor space and visualize it in 3D using Indoor GML data.
SIMOGen : To generate objects movement data
- Python 3.7
- Java Development Kit 8 (JDK 8)
- Apache Maven 3.x
- To install the packages type in the console
$ pip install -r requirements.txt
- To run the program
$ cd src
$ python InCOVID.py
- Push "Select IndoorGML file" 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
- Enter the incubation period(days)
- Push "Start" button
- 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
- Analyze each infection case more in detail
- Network tree of infections
| Name | Affiliation | |
|---|---|---|
| Arman Assankhanov | arman@pusan.ac.kr | Pusan National University |