Format:
Online-Ressource (XII, 292 p. 66 illus., 46 illus. in color, digital)
ISBN:
9781461439615
Series Statement:
SpringerLink
Content:
Despite great advances in public health worldwide, insect vector-borne infectious diseases remain a leading cause of morbidity and mortality. Diseases that are transmitted by arthropods such as mosquitoes, sand flies, fleas, and ticks affect hundreds of millions of people and account for nearly three million deaths all over the world. In the past there was very little hope of controlling the epidemics caused by these diseases, but modern advancements in science and technology are providing a variety of ways in which these diseases can be handled. Clearly, the process of transmission of an infectious disease is a nonlinear (not necessarily linear) dynamic process which can be understood only by appropriately quantifying the vital parameters that govern these dynamics. The following aspects are associated with the modeling of the dynamics of infectious diseases:· Disease transmission dynamics· Predictive dynamics· Control dynamics· Relapse dynamics· Transformation of experimental results from closed (laboratory) environment to open (real world) environmentDynamic Models of Infectious Diseases - Vector Borne Diseases, presents a self-contained account of the dynamic modeling of diseases of vital importance transmitted by insect arthropods. Key Features:· A thorough discussion on the design of effective disease control strategies· Presents a variety of predictive dynamical models for disease transmission· Provides an accessible and informative over view of known literature including several clinical practices· Exemplifies the role of information technology as a problem solver aiding effective early diagnosis and disease management· Demonstrates the importance of intelligent systems approach to decision-making in an interesting mix of domains - bioinformatics, health sciences, and infectious diseases· A variety of IT-based tools for surveillance and control of both vectors and disease transmissionThis 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 practitioners, senior under graduate and graduate students in applied mathematics, biology, bio-informatics, epidemiology, medicine, and health sciences.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 practitioners, senior under graduate and graduate students in applied mathematics, biology, bio-informatics, epidemiology, medicine, and health sciences
Note:
Description based upon print version of record
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Dynamic Models of Infectious Diseases; Preface; Contents; Contributors; Chapter 1: Predictive Dynamics: Modeling for Virological Surveillance and Clinical Management of Dengue; 1 Introduction; 2 Dengue Virus Biology; 2.1 Life Cycle of Dengue Virus; 3 Transmission of Dengue Virus; 4 Clinical Epidemiology; 4.1 Pathological Features; 4.2 Serotypes; 4.3 Symptoms; 4.4 Diagnosis; 4.5 WHO Guidelines for Diagnosis of Dengue; 5 Knowledge Extraction Methods; 5.1 Missing Values: Concerns; 5.2 Statistical Procedures; 5.3 What Are Decision Trees?
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6.3 Predictive Clinical and Laboratory Features in Children6.4 Predictive Clinical and Laboratory Features in Adults; 6.5 Identifying Predictive Clinical and Laboratory Features Using Feature Selection Methods; 7 Comparisons of Methodologies; 8 Conclusions and Discussion; 9 Algorithm 1: The RNIADT Algorithm (Sree Hari Rao and Naresh Kumar 2011c); References; Chapter 2 : Unstable Dynamics of Vector-Borne Diseases: Modeling Through Delay-Differential Equations; 1 Introduction; 1.1 The Diversity of Vector-Borne Diseases; 1.1.1 Malaria; 1.1.2 Leishmaniasis; 1.1.3 Chagas disease; 1.1.4 Dengue
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1.1.5 St. Louis encephalitis1.2 Stable versus Unstable Transmission and their relative impact on Public Health; 2 Models of Vector-Borne Diseases with Delays; 2.1 ODE Models of Vector-Borne Diseases; 2.2 Models of Vector-Borne Diseases with Delays; 2.2.1 Delays related to the extrinsic incubation period; 2.2.2 Delays related to the intrinsic incubation period; 2.2.3 Delays related to the maturation period of the vector; 3 Unstable Dynamics of Vector-Borne Diseases and Delay Differential Equation Models; 3.1 Unstable Dynamics of Vector-Borne Diseases: Malaria as a Case Study
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3.2 Capturing Oscillatory Dynamics and Chaos with Delay Models3.2.1 Reducing the Delay Model to a Single Equation; 3.2.2 Oscillations and Chaos in the Delay Differential Equation; 3.3 Delay-Differential Equations as a Modeling Tool for Intrinsic Drivers of Instabilities in Vector-BorneDiseases; 4 Discussion; References; Chapter 3: West Nile Virus: 12 Years in North America; 1 Current Epidemiology; 1.1 Global Patterns; 1.2 United States Public Health Impact; 1.3 Mathematical Modeling; 2 Basic Science; 2.1 Clinical Pathology; 2.2 Risk Factors; 2.3 Immune Response; 3 Disease Control
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3.1 Therapeutics
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Predictive Dynamic Modeling for Virological Surveillance and Clinical Management of Dengue -- Unstable Dynamics of Vector Borne Diseases: Modeling Through Delay Differential Equations -- West Nile Virus- 10 Years in North America -- Global Impact of Leishmania Infections -- Chagas Disease: Epidemiology and Evolving Strategies for Control -- Filaria Monitoring Visualization System (FMVS) - A New Dimension for Integrated Control of Lymphatic Filariasis -- Integrated Disease Management of Japanese Encephalitis in India -- Global Impact of Malaria and Determinants of Severe Malarial Anemia -- Index.
Additional Edition:
ISBN 9781461439608
Additional Edition:
Buchausg. u.d.T. ISBN 978-1-461-43960-8
Language:
English
DOI:
10.1007/978-1-4614-3961-5
URL:
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