COVID-19 Data Visualization through Automatic Phase Detection
Pradipta Biswas, Kamalpreet Singh Saluja, Somnath Arjun, L. R. D. Murthy, Gowdham Prabhakar, Vinay Sharma, Jeevitha Shree Dv
Abstract
This article 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.
Topics & Concepts
VisualizationCoronavirus disease 2019 (COVID-19)Computer scienceData setSet (abstract data type)PandemicData mining2019-20 coronavirus outbreakArtificial intelligenceInfectious disease (medical specialty)MedicineVirologyOutbreakDiseaseProgramming languagePathologyAnomaly Detection Techniques and ApplicationsAdvanced Clustering Algorithms ResearchTime Series Analysis and Forecasting