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Modeling of fractional-order COVID-19 epidemic model with quarantine and social distancing.
Farman, Muhammad; Aslam, Muhammad; Akgül, Ali; Ahmad, Aqeel.
  • Farman M; Department of Mathematics and Statistics University of Lahore Lahore Pakistan.
  • Aslam M; Key Laboratory and Natural Functional Molecule Chemistry of Ministry of Education, Department of Chemistry and Materials Science Northwest University Xi'an China.
  • Akgül A; Art and Science Faculty, Department of Mathematics Siirt University Siirt Turkey.
  • Ahmad A; Department of Mathematics and Statistics University of Lahore Lahore Pakistan.
Math Methods Appl Sci ; 44(11): 9334-9350, 2021 Jul 30.
Article in English | MEDLINE | ID: covidwho-1159469
ABSTRACT
Different countries of the world are facing a serious pandemic of corona virus disease (COVID-19). One of the most typical treatments for COVID-19 is social distancing, which includes lockdown; it will help to decrease the number of contacts for undiagnosed individuals. The main aim of this article is to construct and evaluate a fractional-order COVID-19 epidemic model with quarantine and social distancing. Laplace homotopy analysis method is used for a system of fractional differential equation (FDEs) with Caputo and Atangana-Baleanu-Caputo (ABC) fractional derivative. By applying the ABC and Caputo derivative, the numerical solution for fractional-order COVID-19 epidemic model is achieved. The uniqueness and existence of the solution is checked by Picard-Lindelof's method. The proposed fractional model is demonstrated by numerical simulation which is useful for the government to control the spread of disease in a practical way.
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Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies Language: English Journal: Math Methods Appl Sci Year: 2021 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies Language: English Journal: Math Methods Appl Sci Year: 2021 Document Type: Article