Our solution makes use of a metaheuristic algorithm that is Particle Swarm Optimization to detect the hotspot and Monte Carlo Simulation to test the significance of the hotspot. Our approach is to optimize the time complexity of the SatScan algorithm which is used to detect circular hotspots. Our solution detects the zone or regions where COVID19 cases are present and emerging so that it helps the government or other body to take measures to control the transmission of the diseases and provide treatment to the people in the region.
If you want to see a new feature feel free to create a new Issue
- Fork the Project
- Create your Feature Branch (
git checkout -b feature/AmazingFeature) - Commit your Changes (
git commit -m 'Add some AmazingFeature') - Push to the Branch (
git push origin feature/AmazingFeature) - Open a Pull Request
Divyanshu Chaturvedi - @divyanshooter
Chirag Garg - @DeVil2O
Shivam Gupta - @shiv1470
Project Link: https://github.com/shiv1470/Detecting-emerging-clusters-of-Covid-in-USA