期刊
MATHEMATICS
卷 10, 期 3, 页码 -出版社
MDPI
DOI: 10.3390/math10030343
关键词
COVID-19; omicron variant; pandemic; HPM; stability and numerical analysis; error analysis
类别
资金
- Taif University Researchers Supporting Project, Taif University, Taif, Saudi Arabia [TURSP-2020/26]
This paper focuses on the mathematical modeling and verification of the second wave of COVID-19, particularly the Omicron variant, in India. The researchers utilized the homotopy perturbation method for analytical solutions and numerical analysis using Mathematica software. The study provides valuable insights into the fluctuation of the pandemic and its potential peak.
This paper deals with the mathematical modeling of the second wave of COVID-19 and verifies the current Omicron variant pandemic data in India. We also we discussed such as uniformly bounded of the system, Equilibrium analysis and basic reproduction number R0. We calculated the analytic solutions by HPM (homotopy perturbation method) and used Mathematica 12 software for numerical analysis up to 8th order approximation. It checked the error values of the approximation while the system has residual error, absolute error and h curve initial derivation of square error at up to 8th order approximation. The basic reproduction number ranges between 0.8454 and 2.0317 to form numerical simulation, it helps to identify the whole system fluctuations. Finally, our proposed model validated (from real life data) the highly affected five states of COVID-19 and the Omicron variant. The algorithm guidelines are used for international arrivals, with Omicron variant cases updated by the Union Health Ministry in January 2022. Right now, the third wave is underway in India, and we conclude that it may peak by the end of May 2022.
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