Please use this identifier to cite or link to this item: http://dspace.iitrpr.ac.in:8080/xmlui/handle/123456789/1728
Title: Mathematical modeling and analysis for controlling the spread of infectious diseases
Authors: Tyagi, S.
Martha, S.C.
Abbas, S.
Debbouche, A.
Keywords: Infectious diseases
Mathematical model
Basic reproduction number
Stability analysis
Lyapunov function
Time delay
Hopf Bifurcation
Issue Date: 22-Feb-2021
Abstract: In this work, we present and discuss the approaches, that are used for modeling and surveillance of dynamics of infectious diseases by considering the early stage asymptomatic and later stage symptomatic infections. We highlight the conceptual ideas and mathematical tools needed for such infectious disease modeling. We compute the basic reproduction number of the proposed model and investigate the qualitative behaviours of the infectious disease model such as, local and global stability of equilibria for the non-delayed as well as delayed system. At the end, we perform numerical simulations to validate the effectiveness of the derived results.
URI: http://localhost:8080/xmlui/handle/123456789/1728
Appears in Collections:Year-2021

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