Exploring and Visualizing COVID-19 Trends in India: Vulnerabilities and Mitigation Strategies
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arXiv
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| Autori principali: | , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2024
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| _version_ | 1866916386548219904 |
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| author | Saha, Swayamjit Ghosh, Kuntal Chatterjee, Garga Swan II, J. Edward |
| author_facet | Saha, Swayamjit Ghosh, Kuntal Chatterjee, Garga Swan II, J. Edward |
| contents | Visualizing data plays a pivotal role in portraying important scientific information. Hence, visualization techniques aid in displaying relevant graphical interpretations from the varied structures of data, which is found otherwise. In this paper, we explore the COVID-19 pandemic influence trends in the subcontinent of India in the context of how far the infection rate spiked in the year 2020 and how the public health division of the country India has helped to curb the spread of the novel virus by installing vaccination centers across the diaspora of the country. The paper contributes to the empirical study of understanding the impact caused by the novel virus to the country by doing extensive explanatory data analysis of the data collected from the official government portal. Our work contributes to the understanding that data visualization is prime in understanding public health problems and beyond and taking necessary measures to curb the existing pandemic. |
| format | Preprint |
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arxiv_https___arxiv_org_abs_2409_05876 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Exploring and Visualizing COVID-19 Trends in India: Vulnerabilities and Mitigation Strategies Saha, Swayamjit Ghosh, Kuntal Chatterjee, Garga Swan II, J. Edward Computers and Society Human-Computer Interaction Visualizing data plays a pivotal role in portraying important scientific information. Hence, visualization techniques aid in displaying relevant graphical interpretations from the varied structures of data, which is found otherwise. In this paper, we explore the COVID-19 pandemic influence trends in the subcontinent of India in the context of how far the infection rate spiked in the year 2020 and how the public health division of the country India has helped to curb the spread of the novel virus by installing vaccination centers across the diaspora of the country. The paper contributes to the empirical study of understanding the impact caused by the novel virus to the country by doing extensive explanatory data analysis of the data collected from the official government portal. Our work contributes to the understanding that data visualization is prime in understanding public health problems and beyond and taking necessary measures to curb the existing pandemic. |
| title | Exploring and Visualizing COVID-19 Trends in India: Vulnerabilities and Mitigation Strategies |
| topic | Computers and Society Human-Computer Interaction |
| url | https://arxiv.org/abs/2409.05876 |