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Stability Analysis of SARS-CoV-2 with Heart Attack Effected Patients and Bifurcation.
Ahmad, Aqeel; Abbas, Safdar; Inc, Mustafa; Ghaffar, Abdul.
Affiliation
  • Ahmad A; Department of Mathematics, Ghazi University, D G Khan, 32200, Pakistan.
  • Abbas S; Department of Mathematics, Ghazi University, D G Khan, 32200, Pakistan.
  • Inc M; Department of Mathematics, Firat University, Elazig, 23119, Turkey.
  • Ghaffar A; Department of Medical Research, China Medical University, Taichung, 40402, Taiwan.
Adv Biol (Weinh) ; 8(4): e2300540, 2024 04.
Article in En | MEDLINE | ID: mdl-38311571
ABSTRACT
The aim of this study is to analyze and investigate the SARS-CoV-2 (SC-2) transmission with effect of heart attack in United Kingdom with advanced mathematical tools. Mathematical model is converted into fractional order with the help of fractal fractional operator (FFO). The proposed fractional order system is investigated qualitatively as well as quantitatively to identify its stable position. Local stability of the SC-2 system is verified and test the proposed system with flip bifurcation. Also system is investigated for global stability using Lyponove first and second derivative functions. The existence, boundedness, and positivity of the SC-2 is checked which are the key properties for such of type of epidemic problem to identify reliable findings. Effect of global derivative is demonstrated to verify its rate of effects of heart attack in united kingdom. Solutions for fractional order system are derived with the help of advanced tool FFO for different fractional values to verify the combine effect of COVID-19 and heart patients. Simulation are carried out to see symptomatic as well as a symptomatic effects of SC-2 in the United Kingdom as well as its global effects, also show the actual behavior of SC-2 which will be helpful to understand the outbreak of SC-2 for heart attack patients and to see its real behavior globally as well as helpful for future prediction and control strategies.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: COVID-19 / Myocardial Infarction Type of study: Prognostic_studies Limits: Humans Language: En Journal: Adv Biol (Weinh) Year: 2024 Document type: Article Affiliation country: Pakistán

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: COVID-19 / Myocardial Infarction Type of study: Prognostic_studies Limits: Humans Language: En Journal: Adv Biol (Weinh) Year: 2024 Document type: Article Affiliation country: Pakistán