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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International Academy of Ecology and Environmental Sciences
2018-03-01
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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.
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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 |
work_keys_str_mv |
AT renuverma fuzzymodelingforthespreadofinfluenzavirusanditspossiblecontrol AT sptiwari fuzzymodelingforthespreadofinfluenzavirusanditspossiblecontrol AT ranjitkumarupadhyay fuzzymodelingforthespreadofinfluenzavirusanditspossiblecontrol |
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