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Mathematical models for therapeutic ...

Roy, Priti Kumar.

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Mathematical models for therapeutic approaches to control HIV disease transmission

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Mathematical models for therapeutic approaches to control HIV disease transmission/ by Priti Kumar Roy.
作者:	Roy, Priti Kumar.
出版者:	Singapore :Springer Singapore : : 2015.,
面頁冊數:	xix, 213 p. :ill., digital ;24 cm.
內容註:	Chapter 1. Introduction -- Part I: Dynamics of Immune System against HIV -- Chapter 2. Role of CTL in Restricting Virus -- Chapter 3. T Cell Proliferation -- Chapter 4. Feedback Effect towards HIV Infection -- Part II: Control based Therapeutic Approach -- Chapter 5. Insight of Delay Dynamics -- Chapter 6. Optimal Control Theory -- Chapter 7. Perfect Drug Adherence -- Chapter 8. Mathematical Model in Stochastic Approach.
Contained By:	Springer eBooks
標題:	HIV infections - Prevention -
電子資源:	http://dx.doi.org/10.1007/978-981-287-852-6
ISBN:	9789812878526$q(electronic bk.)

Mathematical models for therapeutic approaches to control HIV disease transmission
Roy, Priti Kumar.

Mathematical models for therapeutic approaches to control HIV disease transmission[electronic resource] /by Priti Kumar Roy. - Singapore :Springer Singapore :2015. - xix, 213 p. :ill., digital ;24 cm. - Industrial and applied mathematics,2364-6837. - Industrial and applied mathematics..

Chapter 1. Introduction -- Part I: Dynamics of Immune System against HIV -- Chapter 2. Role of CTL in Restricting Virus -- Chapter 3. T Cell Proliferation -- Chapter 4. Feedback Effect towards HIV Infection -- Part II: Control based Therapeutic Approach -- Chapter 5. Insight of Delay Dynamics -- Chapter 6. Optimal Control Theory -- Chapter 7. Perfect Drug Adherence -- Chapter 8. Mathematical Model in Stochastic Approach.

The book discusses different therapeutic approaches based on different mathematical models to control the HIV/AIDS disease transmission. It uses clinical data, collected from different cited sources, to formulate the deterministic as well as stochastic mathematical models of HIV/AIDS. It provides complementary approaches, from deterministic and stochastic points of view, to optimal control strategy with perfect drug adherence and also tries to seek viewpoints of the same issue from different angles with various mathematical models to computer simulations. The book presents essential methods and techniques for students who are interested in designing epidemiological models on HIV/AIDS. It also guides research scientists, working in the periphery of mathematical modeling, and helps them to explore a hypothetical method by examining its consequences in the form of a mathematical modelling and making some scientific predictions. The model equations, mathematical analysis and several numerical simulations that are presented in the book would serve to reveal the consequences of the logical structure of the disease transmission, quantitatively as well as qualitatively. One of the chapters introduces the optimal control approach towards the mathematical models, describing the optimal drug dosage process that is discussed with the basic deterministic models dealing with stability analysis. Another one chapter deals with the mathematical analysis for the perfect drug adherence for different drug dynamics during the treatment management. The last chapter of the book consists the stochastic approach to the disease dynamics on HIV/AIDS. This method helps to move the disease HIV/AIDS to extinction as the time to increase. This book will appeal to undergraduate and postgraduate students, as well as researchers, who are studying and working in the field of bio-mathematical modelling on infectious diseases, applied mathematics, health informatics, applied statistics and qualitative public health, etc. Social workers, who are working in the field of HIV, will also find the book useful for complements.

ISBN: 9789812878526$q(electronic bk.)

Standard No.: 10.1007/978-981-287-852-6doiSubjects--Topical Terms:

2165674
HIV infections
--Prevention

LC Class. No.: RA643.8

Dewey Class. No.: 616.979205

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