Preprint
Brief Report

COVID 19 Data Visualization through Automatic Phase Detection

Altmetrics

Downloads

605

Views

415

Comments

0

A peer-reviewed article of this preprint also exists.

Submitted:

23 May 2020

Posted:

24 May 2020

You are already at the latest version

Alerts
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: 
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.
Prerpints.org logo

Preprints.org is a free preprint server supported by MDPI in Basel, Switzerland.

Subscribe

© 2024 MDPI (Basel, Switzerland) unless otherwise stated