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Fractional order SIR epidemic model with Beddington–De Angelis incidence and Holling type II treatment rate for COVID-19
In this paper, an attempt has been made to study and investigate a non-linear, non-integer SIR epidemic model for COVID-19 by incorporating Beddington–De Angelis incidence rate and Holling type II saturated cure rate. Beddington–De Angelis incidence rate has been chosen to observe the effects of mea...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Springer Berlin Heidelberg
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8731183/ https://www.ncbi.nlm.nih.gov/pubmed/35013679 http://dx.doi.org/10.1007/s12190-021-01658-y |
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author | Swati Nilam |
author_facet | Swati Nilam |
author_sort | Swati |
collection | PubMed |
description | In this paper, an attempt has been made to study and investigate a non-linear, non-integer SIR epidemic model for COVID-19 by incorporating Beddington–De Angelis incidence rate and Holling type II saturated cure rate. Beddington–De Angelis incidence rate has been chosen to observe the effects of measure of inhibition taken by both: susceptible and infective. This includes measure of inhibition taken by susceptibles as wearing proper mask, personal hygiene and maintaining social distance and the measure of inhibition taken by infectives may be quarantine or any other available treatment facility. Holling type II treatment rate has been considered for the present model for its ability to capture the effects of available limited treatment facilities in case of Covid 19. To include the neglected effect of memory property in integer order system, Caputo form of non-integer derivative has been considered, which exists in most biological systems. It has been observed that the model is well posed i.e., the solution with a positive initial value is reviewed for non-negativity and boundedness. Basic reproduction number [Formula: see text] is determined by next generation matrix method. Routh Hurwitz criteria has been used to determine the presence and stability of equilibrium points and then stability analyses have been conducted. It has been observed that the disease-free equilibrium [Formula: see text] is stable for [Formula: see text] i.e., there will be no infection in the population and the system tends towards the disease-free equilibrium [Formula: see text] and for [Formula: see text] , it becomes unstable, and the system will tend towards endemic equilibrium [Formula: see text] . Further, global stability analysis is carried out for both the equilibria using [Formula: see text] . Lastly numerical simulations to assess the effects of various parameters on the dynamics of disease has been performed. |
format | Online Article Text |
id | pubmed-8731183 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-87311832022-01-06 Fractional order SIR epidemic model with Beddington–De Angelis incidence and Holling type II treatment rate for COVID-19 Swati Nilam J Appl Math Comput Original Research In this paper, an attempt has been made to study and investigate a non-linear, non-integer SIR epidemic model for COVID-19 by incorporating Beddington–De Angelis incidence rate and Holling type II saturated cure rate. Beddington–De Angelis incidence rate has been chosen to observe the effects of measure of inhibition taken by both: susceptible and infective. This includes measure of inhibition taken by susceptibles as wearing proper mask, personal hygiene and maintaining social distance and the measure of inhibition taken by infectives may be quarantine or any other available treatment facility. Holling type II treatment rate has been considered for the present model for its ability to capture the effects of available limited treatment facilities in case of Covid 19. To include the neglected effect of memory property in integer order system, Caputo form of non-integer derivative has been considered, which exists in most biological systems. It has been observed that the model is well posed i.e., the solution with a positive initial value is reviewed for non-negativity and boundedness. Basic reproduction number [Formula: see text] is determined by next generation matrix method. Routh Hurwitz criteria has been used to determine the presence and stability of equilibrium points and then stability analyses have been conducted. It has been observed that the disease-free equilibrium [Formula: see text] is stable for [Formula: see text] i.e., there will be no infection in the population and the system tends towards the disease-free equilibrium [Formula: see text] and for [Formula: see text] , it becomes unstable, and the system will tend towards endemic equilibrium [Formula: see text] . Further, global stability analysis is carried out for both the equilibria using [Formula: see text] . Lastly numerical simulations to assess the effects of various parameters on the dynamics of disease has been performed. Springer Berlin Heidelberg 2022-01-06 2022 /pmc/articles/PMC8731183/ /pubmed/35013679 http://dx.doi.org/10.1007/s12190-021-01658-y Text en © Korean Society for Informatics and Computational Applied Mathematics 2021 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Original Research Swati Nilam Fractional order SIR epidemic model with Beddington–De Angelis incidence and Holling type II treatment rate for COVID-19 |
title | Fractional order SIR epidemic model with Beddington–De Angelis incidence and Holling type II treatment rate for COVID-19 |
title_full | Fractional order SIR epidemic model with Beddington–De Angelis incidence and Holling type II treatment rate for COVID-19 |
title_fullStr | Fractional order SIR epidemic model with Beddington–De Angelis incidence and Holling type II treatment rate for COVID-19 |
title_full_unstemmed | Fractional order SIR epidemic model with Beddington–De Angelis incidence and Holling type II treatment rate for COVID-19 |
title_short | Fractional order SIR epidemic model with Beddington–De Angelis incidence and Holling type II treatment rate for COVID-19 |
title_sort | fractional order sir epidemic model with beddington–de angelis incidence and holling type ii treatment rate for covid-19 |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8731183/ https://www.ncbi.nlm.nih.gov/pubmed/35013679 http://dx.doi.org/10.1007/s12190-021-01658-y |
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