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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Bibliographic Details
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
Description
Summary: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.
ISSN:2220-721X
2220-721X