Preprint Brief Report Version 1 This version is not peer-reviewed

COVID 19 Data Visualization through Automatic Phase Detection

Version 1 : Received: 23 May 2020 / Approved: 24 May 2020 / Online: 24 May 2020 (20:23:04 CEST)

How to cite: Biswas, P.; Singh Saluja, K.; Arjun, S.; Murthy, L.; Prabhakar, G.; Sharma, V.K.; Shree DV, J. COVID 19 Data Visualization through Automatic Phase Detection. Preprints 2020, 2020050405 (doi: 10.20944/preprints202005.0405.v1). Biswas, P.; Singh Saluja, K.; Arjun, S.; Murthy, L.; Prabhakar, G.; Sharma, V.K.; Shree DV, J. COVID 19 Data Visualization through Automatic Phase Detection. Preprints 2020, 2020050405 (doi: 10.20944/preprints202005.0405.v1).

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.

Supplementary and Associated Material

http://cambum.net/Covid19/index.html: COVID 19 Data Analytics Tool

Subject Areas

Data Visualization; Information Visualization; COVID 19 Pandemic

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