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

被引：1

作者：

Kelhe, Tejashri ^{[1
]}

Jain, Chaitanyasuma ^{[2
]}

Bhandarkar, Mansi ^{[1
]}

Deshpande, Ashwini ^{[1
]}

机构：

[1] MKSSS Cummins Coll Engn Women, Dept ENTC Engn, Pune, Maharashtra, India

[2] MKSSS Cummins Coll Engn Women, Dept Comp Engn, Pune, Maharashtra, India

来源：

2020 IEEE PUNE SECTION INTERNATIONAL CONFERENCE (PUNECON) | 2020年

关键词：

Cloud Computing; Disease Outbreak; Early Warning System; IoT; Mobile Application; Smart Healthcare; Time Series Analysis;

D O I：

10.1109/PuneCon50868.2020.9362380

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：113 / 118

页数：6

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