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Can I read Mathematical Models for Therapeutic Approaches to Control HIV Disease Transmission (Industrial and Applied Mathematics) on EtoBox?

Mathematical Models for Therapeutic Approaches to Control HIV Disease Transmission (Industrial and Applied Mathematics) by Roy, Priti Kumar is a nonfiction available to read on EtoBox.

What is Mathematical Models for Therapeutic Approaches to Control HIV Disease Transmission (Industrial and Applied Mathematics) about?

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

Who reads Mathematical Models for Therapeutic Approaches to Control HIV Disease Transmission (Industrial and Applied Mathematics)?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
Roy, Priti Kumar
Publisher
Springer Singapore : Imprint Springer, Springer Singapore, Imprint Springer
Published
2015
Language
EN
ISBN
9789812878526
Category
nonfiction
Subjects
Science, Biology, Stem

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