New applications related to Covid-19 | Zendy

Ali Akgül | Zendy; Nauman Ahmed | Zendy; Ali Raza | Zendy; Zafar Iqbal | Zendy; Muhammad Rafiq | Zendy; Dumitru Băleanu | Zendy; Muhammad Aziz-ur Rehman | Zendy

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New applications related to Covid-19

Author(s) -

Ali Akgül,

Nauman Ahmed,

Ali Raza,

Zafar Iqbal,

Muhammad Rafiq,

Dumitru Băleanu,

Muhammad Aziz-ur Rehman

Publication year - 2020

Publication title -

results in physics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.743

H-Index - 56

ISSN - 2211-3797

DOI - 10.1016/j.rinp.2020.103663

Subject(s) - covid-19 , stability (learning theory) , mathematics , fractal , computer science , numerical analysis , statistical physics , physics , mathematical analysis , machine learning , virology , infectious disease (medical specialty) , biology , medicine , disease , outbreak , pathology

Analysis of mathematical models projected for COVID-19 presents in many valuable outputs. We analyze a model of differential equation related to Covid-19 in this paper. We use fractal-fractional derivatives in the proposed model. We analyze the equilibria of the model. We discuss the stability analysis in details. We apply very effective method to obtain the numerical results. We demonstrate our results by the numerical simulations.

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