Overview
- Explores numerous aspects of non vector-borne diseases
- Looks at the variety of ways in which infectious diseases can be handled
- Examines procedures that can be developed for predicting the future course of these diseases
- Includes supplementary material: sn.pub/extras
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About this book
Though great advances in public health are witnessed world over in recent years, infectious diseases, besides insect vector-borne infectious diseases remain a leading cause of morbidity and mortality. Control of the epidemics caused by the non-vector borne diseases such as tuberculosis, avian influenza (H5N1) and cryptococcus gattii, have left a very little hope in the past. The advancement of research in science and technology has paved way for the development of new tools and methodologies to fight against these diseases. In particular, intelligent technology and machine-learning based methodologies have rendered useful in developing more accurate predictive tools for the early diagnosis of these diseases. In all these endeavors the main focus is the understanding that the process of transmission of an infectious disease is nonlinear (not necessarily linear) and dynamical in character. This concept compels the appropriate quantification of the vital parameters that govern these dynamics. This book is ideal for a general science and engineering audience requiring an in-depth exposure to current issues, ideas, methods, and models. The topics discussed serve as a useful reference to clinical experts, health scientists, public health administrators, medical practioners, and senior undergraduate and graduate students in applied mathematics, biology, bioinformatics, and epidemiology, medicine and health sciences.
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Table of contents (9 chapters)
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Front Matter
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Back Matter
Editors and Affiliations
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Bibliographic Information
Book Title: Dynamic Models of Infectious Diseases
Book Subtitle: Volume 2: Non Vector-Borne Diseases
Editors: V. Sree Hari Rao, Ravi Durvasula
DOI: https://doi.org/10.1007/978-1-4614-9224-5
Publisher: Springer New York, NY
eBook Packages: Biomedical and Life Sciences, Biomedical and Life Sciences (R0)
Copyright Information: Springer Science+Business Media New York 2013
Hardcover ISBN: 978-1-4614-9223-8Published: 01 December 2013
Softcover ISBN: 978-1-4939-4267-1Published: 23 August 2016
eBook ISBN: 978-1-4614-9224-5Published: 30 November 2013
Edition Number: 1
Number of Pages: XII, 259
Number of Illustrations: 27 b/w illustrations, 42 illustrations in colour
Topics: Systems Biology, Infectious Diseases, Bioinformatics