Impact of COVID-19 Variants Using Multi-Criteria Selection Approach
The aim of the proposed work is related to the detailed study of various types of COVID-19 along with its symptoms. This study utilized a retrospective approach to the COVID data from 2019 to 2021 to assess the severity level of the various types of COVID-19. After a detailed analysis, we have identified seven symptoms which are as follows: breathing, chest pain, fever, body ache, sore throat and cough, tiredness, and loss of taste/smell. In this study, the prediction of the COVID-19 severity level is made using a fuzhzy multi-objective optimization based on ratio analysis (fuzzy MOORA) approach. The proposed model simultaneously predicts the severity level of COVID-19 with multiple criteria. The severity levels listed on government-approved websites for various types of COVID-19 are considered for validating the proposed methodology's result. The highest overall performance index value is used to decide. As a result, the overall performance index value has been achieved and moreover, we can predict the severity level of different forms of COVID-19 using this strategy. After the implementation of our proposed approach, we got the overall performance index value of delta T4 (0.433086). The Coronavirus Virus 2019 (COVID-19) pandemic is on the increase for over two years. The World Health Organization (WHO) statistics show that approximately 260 million confirmed cases have been documented, with over five million deaths. In our work, we have implemented a fuzzy MOORA approach for predicting the severity level of the different types of COVID-19. The overall performance index value of each COVID-19 is shown in the table. Table 1.2 demonstrates that Delta T4 is ranked 1<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">st</sup>, Gamma T3 is ranked 2<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">nd</sup>, Beta T2 is ranked 3<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">rd</sup>, Alpha T1 4th and Omicron T5 has the least rank.
Authors
- Diwakar Upadhyay
- Shrddha Sagar (ORCID: https://orcid.org/0000-0003-3647-1384)
- Avadhesh Kumar (ORCID: https://orcid.org/0000-0003-4177-2683)
- Sofia Singh
- Garima Shukla (ORCID: https://orcid.org/0000-0002-9673-3107)
Institutions
- Galgotias University (IN)
- Amity University (AE)
- Graphic Era University (IN)
Publication Details
- Published
- 2024-12-20
- DOI
- https://doi.org/10.1109/icaiqsa64000.2024.10882351
- Primary Topic
- Artificial Intelligence in Healthcare
- Type
- article
- Field-Weighted Citation Impact
- 0.00