Selected article for: "acute sars cov respiratory syndrome coronavirus and low comparable"

Author: Arfan, Muhammad; Mahariq, Ibrahim; Shah, Kamal; Abdeljawad, Thabet; Laouini, Ghaylen; Mohammed, Pshtiwan Othman
Title: Numerical computations and theoretical investigations of a dynamical system with fractional order derivative
  • Cord-id: 1c2eogvs
  • Document date: 2021_8_3
  • ID: 1c2eogvs
    Snippet: This manuscript is devoted to consider population dynamical model of non-integer order to investigate the recent pandemic Covid-19 named as severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) disease. We investigate the proposed model corresponding to different values of largely effected system parameter of immigration for both susceptible and infected populations. The results for qualitative analysis are established with the help of fixed-point theory and non-linear functional analysis
    Document: This manuscript is devoted to consider population dynamical model of non-integer order to investigate the recent pandemic Covid-19 named as severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) disease. We investigate the proposed model corresponding to different values of largely effected system parameter of immigration for both susceptible and infected populations. The results for qualitative analysis are established with the help of fixed-point theory and non-linear functional analysis. Moreover, semi-analytical results, related to series solution for the considered system are investigated on applying the transform due to Laplace with Adomian polynomial and decomposition techniques. We have also applied the non-standard finite difference scheme (NSFD) for numerical solution. Finally, both the analysis are supported by graphical results at various fractional order. Both the results are comparable with each other and converging quickly at low order. The whole spectrum and the dynamical behavior for each compartment of the proposed model lying between 0 and 1 are simulated via Matlab.

    Search related documents: