疾病爆发的智能预警系统——以印度新冠肺炎疫情为例

2020 IEEE Pune Section International Conference (PuneCon) Pub Date : 2020-12-16 DOI:10.1109/PuneCon50868.2020.9362380

Tejashri Kelhe, Chaitanyasuma Jain, M. Bhandarkar, A. Deshpande

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引用次数: 1

摘要

在本文中，我们提出了一个循环的智能系统，通过一个移动应用程序，涉及政府、卫生服务和公民的参与，并在云存储中以分层方式对收集的数据进行分析。我们对COVID-19印度数据集进行了案例研究，以验证该系统。拟议的系统将有助于早期发现传染病暴发，从而减少暴发的最终规模，降低总体发病率和死亡率。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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

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.

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来源期刊

2020 IEEE Pune Section International Conference (PuneCon)

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