Fuzzy modeling for the spread of influenza virus and its possible control

In this paper, we analyze a model of Influenza spread with an asymptotic transmission rate, wherein the disease transmission rate and death rate are considered as fuzzy sets. Comparative studies of the equilibrium points of the disease for the classical and fuzzy models are performed. Using the conc...

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Main Authors: Renu Verma, S.P. Tiwari, Ranjit Kumar Upadhyay
Format: Article
Language:English
Published: International Academy of Ecology and Environmental Sciences 2018-03-01
Series:Computational Ecology and Software
Subjects:
Online Access:http://www.iaees.org/publications/journals/ces/articles/2018-8(1)/fuzzy-modeling-for-the-spread-of-influenza-virus.pdf
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spelling doaj-12eee89e68334485b61fc706a9904ab22020-11-25T02:19:31ZengInternational Academy of Ecology and Environmental SciencesComputational Ecology and Software2220-721X2220-721X2018-03-01813245Fuzzy modeling for the spread of influenza virus and its possible controlRenu Verma0S.P. Tiwari1Ranjit Kumar Upadhyay2Department of Applied Mathematics, Indian Institute of Technology (ISM) Dhanbad-826004, IndiaDepartment of Applied Mathematics, Indian Institute of Technology (ISM) Dhanbad-826004, IndiaDepartment of Applied Mathematics, Indian Institute of Technology (ISM) Dhanbad-826004, IndiaIn this paper, we analyze a model of Influenza spread with an asymptotic transmission rate, wherein the disease transmission rate and death rate are considered as fuzzy sets. Comparative studies of the equilibrium points of the disease for the classical and fuzzy models are performed. Using the concept of probability measure and fuzzy expected value, we obtain the fuzzy basic reproduction number for groups of infected individuals with different virus loads. Further, a basic reproduction number for the classical and the fuzzy model are compared. Finally, a program based on the basic reproduction value of disease control is suggested and the numerical simulations are carried out to illustrate the analytical results. http://www.iaees.org/publications/journals/ces/articles/2018-8(1)/fuzzy-modeling-for-the-spread-of-influenza-virus.pdfinfluenza virusfuzzy expected valuefuzzy basic reproduction numberbifurcationstability
collection DOAJ
language English
format Article
sources DOAJ
author Renu Verma
S.P. Tiwari
Ranjit Kumar Upadhyay
spellingShingle Renu Verma
S.P. Tiwari
Ranjit Kumar Upadhyay
Fuzzy modeling for the spread of influenza virus and its possible control
Computational Ecology and Software
influenza virus
fuzzy expected value
fuzzy basic reproduction number
bifurcation
stability
author_facet Renu Verma
S.P. Tiwari
Ranjit Kumar Upadhyay
author_sort Renu Verma
title Fuzzy modeling for the spread of influenza virus and its possible control
title_short Fuzzy modeling for the spread of influenza virus and its possible control
title_full Fuzzy modeling for the spread of influenza virus and its possible control
title_fullStr Fuzzy modeling for the spread of influenza virus and its possible control
title_full_unstemmed Fuzzy modeling for the spread of influenza virus and its possible control
title_sort fuzzy modeling for the spread of influenza virus and its possible control
publisher International Academy of Ecology and Environmental Sciences
series Computational Ecology and Software
issn 2220-721X
2220-721X
publishDate 2018-03-01
description In this paper, we analyze a model of Influenza spread with an asymptotic transmission rate, wherein the disease transmission rate and death rate are considered as fuzzy sets. Comparative studies of the equilibrium points of the disease for the classical and fuzzy models are performed. Using the concept of probability measure and fuzzy expected value, we obtain the fuzzy basic reproduction number for groups of infected individuals with different virus loads. Further, a basic reproduction number for the classical and the fuzzy model are compared. Finally, a program based on the basic reproduction value of disease control is suggested and the numerical simulations are carried out to illustrate the analytical results.
topic influenza virus
fuzzy expected value
fuzzy basic reproduction number
bifurcation
stability
url http://www.iaees.org/publications/journals/ces/articles/2018-8(1)/fuzzy-modeling-for-the-spread-of-influenza-virus.pdf
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