Open Access
Research Article
Optimized monitoring systems in COVID-19 infected States in India using data mining techniques
*R. JebithaCorresponding authorjebitharajan1998@gmail.comDepartment of Statistics Manonmaniam Sundaranar UniversityTirunelveli, Tamil Nadu, 627012, India0000-0002-6525-7347View full profile → , V. Deneshkumarvdenesh77@gmail.comDepartment of Statistics Manonmaniam Sundaranar UniversityTirunelveli, Tamil Nadu, 627012, India0000-0001-8047-043XView full profile → , M. Manikandanmanikandanmsu@gmail.comDepartment of Community Medicine Pondicherry Institute of Medical Sciences (PIMS)Puducherry, 605014, India0000-0001-8425-016XView full profile → , K. Senthamarai Kannansenkannan2002@gmail.comDepartment of Statistics Manonmaniam Sundaranar UniversityTirunelveli, Tamil Nadu, 627012, India0000-0003-1984-242XView full profile →
* Corresponding author · click or hover a name for details
- Received:
- 11 May 2022
- Published Online:
- 27 Apr 2024
- Article type:
- Research Article
- Language:
- EN
- Article no.:
- JIOS-1506
- Pages:
- 735–745
Abstract
The COVID-19 pandemic, caused by the Corona Virus Disease 2019, had a global impact with over 71 million infections and more than 1 million deaths by December 31, 2020[1]. To categorize Indian States/Union Territories (UTs) according to their COVID-19 statistics, we utilized hierarchical clustering analysis. This method groups the data based on their similarities, considering confirmed, recovered cases and COVID-19 related deaths. The results were presented in the form of informative tables and graphs, which can be valuable in devising strategies to prevent the further spread of the virus.
Keywords
Subject Classifications
62P10
References
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