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1.
Axioms ; 10(3):135, 2021.
Article in English | MDPI | ID: covidwho-1288799

ABSTRACT

We propose a qualitative analysis of a recent fractional-order COVID-19 model. We start by showing that the model is mathematically and biologically well posed. Then, we give a proof on the global stability of the disease free equilibrium point. Finally, some numerical simulations are performed to ensure stability and convergence of the disease free equilibrium point.

2.
Chaos Solitons Fractals ; 141: 110311, 2020 Dec.
Article in English | MEDLINE | ID: covidwho-1023496

ABSTRACT

We correct some numerical results of [Chaos Solitons Fractals 135 (2020), 109846], by providing the correct numbers and plots. The conclusions of the paper remain, however, the same. In particular, the numerical simulations show the suitability of the proposed COVID-19 model for the outbreak that occurred in Wuhan, China. This time all our computer codes are provided, in order to make all computations reproducible. The authors would like to apologize for any inconvenience caused.

3.
Chaos Solitons Fractals ; 144: 110652, 2021 Mar.
Article in English | MEDLINE | ID: covidwho-1014398

ABSTRACT

A fractional compartmental mathematical model for the spread of the COVID-19 disease is proposed. Special focus has been done on the transmissibility of super-spreaders individuals. Numerical simulations are shown for data of Galicia, Spain, and Portugal. For each region, the order of the Caputo derivative takes a different value, that is not close to one, showing the relevance of considering fractional models.

4.
Chaos Solitons Fractals ; 135: 109846, 2020 Jun.
Article in English | MEDLINE | ID: covidwho-125386

ABSTRACT

We propose a compartmental mathematical model for the spread of the COVID-19 disease with special focus on the transmissibility of super-spreaders individuals. We compute the basic reproduction number threshold, we study the local stability of the disease free equilibrium in terms of the basic reproduction number, and we investigate the sensitivity of the model with respect to the variation of each one of its parameters. Numerical simulations show the suitability of the proposed COVID-19 model for the outbreak that occurred in Wuhan, China.

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