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Mathematical modeling of COVID-19 transmission dynamics with a case study of Wuhan.
Ndaïrou, Faïçal; Area, Iván; Nieto, Juan J; Torres, Delfim F M.
  • Ndaïrou F; Center for Research and Development in Mathematics and Applications (CIDMA), Department of Mathematics, University of Aveiro, Aveiro 3810-193, Portugal.
  • Area I; Departamento de Matemática Aplicada II, E. E. Aeronáutica e do Espazo, Campus de Ourense, Universidade de Vigo, Ourense 32004, Spain.
  • Nieto JJ; Departamento de Matemática Aplicada II, E. E. Aeronáutica e do Espazo, Campus de Ourense, Universidade de Vigo, Ourense 32004, Spain.
  • Torres DFM; Instituto de Matematicas, Universidade de Santiago de Compostela, Santiago de Compostela 15782, Spain.
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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Full text: Available Collection: International databases Database: MEDLINE Type of study: Case report Language: English Journal: Chaos Solitons Fractals Year: 2020 Document Type: Article Affiliation country: J.chaos.2020.109846

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Case report Language: English Journal: Chaos Solitons Fractals Year: 2020 Document Type: Article Affiliation country: J.chaos.2020.109846