COVID 19 Data Visualization through Automatic Phase Detection
| Autor: | Somnath Arjun, Pradipta Biswas, Vinay Sharma, L. R. D. Murthy, Jeevitha Shree Dv, Kamalpreet Singh Saluja, Gowdham Prabhakar |
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| Rok vydání: | 2020 |
| Předmět: |
Creative visualization
Coronavirus disease 2019 (COVID-19) analysis business.industry Computer science media_common.quotation_subject computer.software_genre Phase detector Set (abstract data type) Information visualization Data visualization Use case Data mining business computer Interactive visualization media_common |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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