COVID 19 Data Visualization through Automatic Phase Detection

Pradipta Biswas; Kamalpreet Singh Saluja; Somnath Arjun; LRD Murthy; Gowdham Prabhakar; Vinay Krishna Sharma; Jeevitha Shree DV

doi:10.20944/preprints202005.0405.v1

Submitted:

23 May 2020

Posted:

24 May 2020

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Preprints on COVID-19 and SARS-CoV-2

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COVID 19 Data Visualization through Automatic Phase Detection

Pradipta Biswas^*

,Kamalpreet Singh Saluja,Somnath Arjun,LRD Murthy,Gowdham Prabhakar,Vinay Krishna Sharma,Jeevitha Shree DV

Pradipta Biswas^*

,Kamalpreet Singh Saluja,Somnath Arjun,LRD Murthy,Gowdham Prabhakar,Vinay Krishna Sharma,Jeevitha Shree DV

A peer-reviewed version of this preprint was published in:

Digital Government: Research and Practice 2020, 1(4), 1-8. https://doi.org/10.1145/3411756

Submitted:

23 May 2020

Posted:

24 May 2020

You are already at the latest version

Part of the Following Collection

Preprints on COVID-19 and SARS-CoV-2

Abstract

This paper presents a new interactive visualization system to represent and compare rate of spread of COVID 19 pandemic across different countries over time. We surveyed existing visualization techniques used in various websites and media outlets and introduced use of a knee detection algorithm that divides the exponential spread in multiple linear components. A set of use cases demonstrates the utility of the system in comparing the spread across different countries for both analysis and prediction.

Keywords:

Data Visualization

;

Information Visualization

;

COVID 19 Pandemic

Subject:

Computer Science and Mathematics - Analysis

Copyright: This open access article is published under a Creative Commons CC BY 4.0 license, which permit the free download, distribution, and reuse, provided that the author and preprint are cited in any reuse.