Biswas, P and Saluja, KS and Arjun, S and Murthy, L and Prabhakar, G and Sharma, VK and Dv, JS (2020) COVID-19 Data Visualization through Automatic Phase Detection. In: Digital Government: Research and Practice, 1 (4).
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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. © 2020 ACM.
| Item Type: | Journal Article |
|---|---|
| Publication: | Digital Government: Research and Practice |
| Publisher: | Association for Computing Machinery |
| Additional Information: | The copyright for this article belongs to the Author(s). |
| Keywords: | Signal detection; Visualization, Detection algorithm; Interactive visualization systems; Linear components; Media outlets; Phase detection; Visualization technique, Data visualization |
| Department/Centre: | Division of Mechanical Sciences > Centre for Product Design & Manufacturing |
| Date Deposited: | 10 Jan 2023 07:02 |
| Last Modified: | 10 Jan 2023 07:02 |
| URI: | https://eprints.iisc.ac.in/id/eprint/78956 |
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