Abstract

Modeling and tracking Covid-19 cases using Big Data analytics on HPCC system platform

Highlights

  • The novel coronavirus Covid-19 originated in China in early December 2019 and has rapidly spread to many countries around the globe, with the number of confirmed cases increasing every day

  • In this paper we describe the development a model of Corona spread by using innovative big data analytics techniques and tools

  • Our work proposes the HPCC Systems Covid-19 tracker, which provides a multi-level view of the pandemic with the informative virus spreading indicators in a timely manner

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Summary

Introduction

The novel coronavirus Covid-19 originated in China in early December 2019 and has rapidly spread to many countries around the globe, with the number of confirmed cases increasing every day. Our work proposes the HPCC Systems Covid-19 tracker, which provides a multi-level view of the pandemic with the informative virus spreading indicators in a timely manner. Using Big Data analytic techniques, data about underlying personal relationships, health center locations and the known mechanisms for spread of the Corona virus, this research will study computational models to predict the spread of this disease

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