A Smart Early Warning System for Disease Outbreak with a Case Study of COVID-19 in India

Tejashri Kelhe, Chaitanyasuma Jain, Mansi Bhandarkar, Ashwini Deshpande
2020 2020 IEEE Pune Section International Conference (PuneCon)  
In this paper, we propose a circular, smart system involving participation of the government, health services and citizens, via a mobile application, with the analysis of the collected data being performed in a hierarchical manner in Cloud Storage. We performed a case study on the COVID-19 India dataset to validate the system. The proposed system will aid early detection of infectious disease outbreaks thus reducing the ultimate size of the outbreak, with lower overall morbidity and mortality.
doi:10.1109/punecon50868.2020.9362380 fatcat:whmffo742fh3vcvebgqaqojbai