TY - JOUR
T1 - Stability and Numerical Solutions of Second Wave Mathematical Modeling on COVID-19 and Omicron Outbreak Strategy of Pandemic
T2 - Analytical and Error Analysis of Approximate Series Solutions by Using HPM
AU - Muniyappan, Ashwin
AU - Sundarappan, Balamuralitharan
AU - Manoharan, Poongodi
AU - Hamdi, Mounir
AU - Raahemifar, Kaamran
AU - Bourouis, Sami
AU - Varadarajan, Vijayakumar
N1 - Publisher Copyright:
© 2022 by the authors. Licensee MDPI, Basel, Switzerland.
PY - 2022/2/1
Y1 - 2022/2/1
N2 - 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.
AB - 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.
KW - COVID-19
KW - Error analysis
KW - HPM
KW - Omicron variant
KW - Pandemic
KW - Stability and numerical analysis
UR - http://www.scopus.com/inward/record.url?scp=85123345117&partnerID=8YFLogxK
U2 - 10.3390/math10030343
DO - 10.3390/math10030343
M3 - Article
AN - SCOPUS:85123345117
SN - 2227-7390
VL - 10
JO - Mathematics
JF - Mathematics
IS - 3
M1 - 343
ER -