Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/351666
Title: HOPF Bifurcation and Sensitivity Analysis for Infectious Diseases Models with the Effect of Time Delay
Researcher: Radha M
Guide(s): Vennila B
Keywords: Mathematics
Physical Sciences
University: SRM University
Completed Date: 2021
Abstract: In epidemiology, mathematical modeling helps to understand the underlying mechanisms that newlineinfluence disease transmission and, as a result, recommends control measures. Compartmental newlinemodels in mathematical epidemiology are based on a set of nonlinear differential equations newlinethat represent the dynamics between various epidemiological states of a population. It is newlineimportant to predict the spread of a disease for the short and long term and also for studying newlinethe effects of various interventions newline
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URI: http://hdl.handle.net/10603/351666
Appears in Departments:Department of Mathematics

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chapter 2.pdf609.08 kBAdobe PDFView/Open
chapter 3.pdf572.13 kBAdobe PDFView/Open
chapter 4.pdf530.82 kBAdobe PDFView/Open
chapter 5.pdf530.37 kBAdobe PDFView/Open
chapter 6.pdf1.01 MBAdobe PDFView/Open
chapter 7.pdf97.64 kBAdobe PDFView/Open
curriculum vitae.pdf81.62 kBAdobe PDFView/Open
list of publications.pdf101.86 kBAdobe PDFView/Open
preliminary page.pdf202.17 kBAdobe PDFView/Open
references.pdf133.29 kBAdobe PDFView/Open
title page.pdf120.82 kBAdobe PDFView/Open
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