A Caputo power law model predicting the spread of the COVID-19 outbreak in Pakistan

Muhammad Arfan, Kamal Shah, Thabet Abdeljawad, Nabil Mlaiki, Aman Ullah

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

© 2020 Faculty of Engineering, Alexandria University This work is devoted to establish a modified population model of susceptible and infected (SI) compartments to predict the spread of the infectious disease COVID-19 in Pakistan. We have formulated the model and derived its boundedness and feasibility. By using next generation matrices method we have derived some results for the global and local stability of different kinds of equilibrium points. Also, by using fixed point approach some results of existence of at least one solution are studied. Furthermore, the numerical simulations for various values of isolation parameters corresponding to different fractional order are investigated by using modified Euler's method.
Original languageEnglish
JournalAlexandria Engineering Journal
Volume60
Issue number1
DOIs
StatePublished - 1 Feb 2021

Fingerprint Dive into the research topics of 'A Caputo power law model predicting the spread of the COVID-19 outbreak in Pakistan'. Together they form a unique fingerprint.

Cite this