Analyzing and Modeling Spatial and Temporal Dynamics of Infectious Diseases

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Features modern research and methodology on the spread of infectious diseases and showcases a broad range of multi-disciplinary and state-of-the-art techniques on geo-simulation, geo-visualization, remote sensing, metapopulation modeling, cloud computing, and pattern analysis

Given the ongoing risk of infectious diseases worldwide, it is crucial to develop appropriate analysis methods, models, and tools to assess and predict the spread of disease and evaluate the risk. Analyzing and Modeling Spatial and Temporal Dynamics of Infectious Diseases features mathematical and spatial modeling approaches that integrate applications from various fields such as geo-computation and simulation, spatial analytics, mathematics, statistics, epidemiology, and health policy. In addition, the book captures the latest advances in the use of geographic information system (GIS), global positioning system (GPS), and other location-based technologies in the spatial and temporal study of infectious diseases.

Highlighting the current practices and methodology via various infectious disease studies, Analyzing and Modeling Spatial and Temporal Dynamics of Infectious Diseases features:

  • Approaches to better use infectious disease data collected from various sources for analysis and modeling purposes
  • Examples of disease spreading dynamics, including West Nile virus, bird flu, Lyme disease, pandemic influenza (H1N1), and schistosomiasis
  • Modern techniques such as Smartphone use in spatio-temporal usage data, cloud computing-enabled cluster detection, and communicable disease geo-simulation based on human mobility
  • An overview of different mathematical, statistical, spatial modeling, and geo-simulation techniques

Analyzing and Modeling Spatial and Temporal Dynamics of Infectious Diseases is an excellent resource for researchers and scientists who use, manage, or analyze infectious disease data, need to learn various traditional and advanced analytical methods and modeling techniques, and become aware of different issues and challenges related to infectious disease modeling and simulation. The book is also a useful textbook and/or supplement for upper-undergraduate and graduate-level courses in bioinformatics, biostatistics, public health and policy, and epidemiology.
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About the author

Dongmei Chen, PhD, is Associate Professor in the Department of Geography and Director of the Laboratory for Geographic Information and Spatial Analysis at Queen’s University, Canada.

Bernard Moulin, PhD, is Professor in the Department of Computer Science and Software Engineering at Laval University, Canada.

Jianhong Wu, PhD, is Canada Research Chair and University Distinguished Research Professor in the Department of Mathematics and Statistics and Director of the Center for Disease Modeling at York University, Canada.
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Additional Information

Publisher
John Wiley & Sons
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Published on
Dec 1, 2014
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Pages
496
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ISBN
9781118630037
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Best For
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Language
English
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Genres
Mathematics / Probability & Statistics / Stochastic Processes
Medical / Biostatistics
Medical / Epidemiology
Medical / Infectious Diseases
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Content Protection
This content is DRM protected.
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Reading information

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The series is devoted to the publication of high-level monographs which cover the whole spectrum of current nonlinear analysis and applications in various fields, such as optimization, control theory, systems theory, mechanics, engineering, and other sciences. One of its main objectives is to make available to the professional community expositions of results and foundations of methods that play an important role in both the theory and applications of nonlinear analysis. Contributions which are on the borderline of nonlinear analysis and related fields and which stimulate further research at the crossroads of these areas are particularly welcome.

Editor-in-Chief
Jürgen Appell, Würzburg, Germany

Honorary and Advisory Editors
Catherine Bandle, Basel, Switzerland
Alain Bensoussan, Richardson, Texas, USA
Avner Friedman, Columbus, Ohio, USA
Umberto Mosco, Worcester, Massachusetts, USA
Louis Nirenberg, New York, USA
Alfonso Vignoli, Rome, Italy

Editorial Board
Manuel del Pino, Santiago, Chile
Mikio Kato, Nagano, Japan
Wojciech Kryszewski, Toruń, Poland
Simeon Reich, Haifa, Israel

Please submit book proposals to Jürgen Appell.

Titles in planning include

Eduardo V. Teixeira, Free Boundary Problems: A Primer (2018)
Lucio Damascelli and Filomena Pacella, Morse Index of Solutions of Nonlinear Elliptic Equations (2019)
Rafael Ortega, Periodic Differential Equations in the Plane: A Topological Perspective (2019)
Cyril Tintarev, Profile Decompositions and Cocompactness: Functional-Analytic Theory of Concentration Compactness (2020)
Takashi Suzuki, Semilinear Elliptic Equations: Classical and Modern Theories (2021)

From one of the country's foremost doctors comes a ground-breaking book about diagnosing, treating and healing Lyme, and peeling away the layers that lead to chronic disease.

You may not know that you have Lyme. It can mimic every disease process including Chronic Fatigue Syndrome, Fibromyalgia, autoimmune conditions like MS, psychiatric conditions like depression and anxiety, and cause significant memory and concentration problems, mimicking early dementia. It is called the "Great Imitator," and inaccurate testing-combined with a fierce, ongoing debate that questions chronic infection-makes it difficult for sufferers to find effective care.

When Dr. Richard Horowitz moved to the Hudson Valley over two decades ago to start his own medical practice, he had no idea that he was jumping into a hotbed of Lyme disease. He would soon realize that many of the chronic disease diagnoses people were receiving were also the result of Lyme-and he would discover how once-treatable infections, in the absence of timely intervention, could cause disabling conditions. In a field where the number of cases is growing exponentially around the world and answers remain elusive, Dr. Horowitz has treated over 12,000 patients and made extraordinary progress. His plan represents a crucial paradigm shift, without which the suffering will continue.

In this book, Dr. Horowitz:

- Breaks new ground with a 16 Point Differential Diagnostic Map, the basis for his revolutionary Lyme treatment plan, and an overarching approach to treating all chronic illness.

- Introduces MSIDS, or Multiple Systemic Infectious Disease Syndrome, a new lens on chronic illness that may prove to be an important missing link.

- Covers in detail Lyme's leading symptoms and co-infections, including immune dysfunction, sleep disorders, chronic pain and neurodegenerative disorders - providing a unique functional and integrative health care model, based on the most up-to-date scientific research, for physicians and health care providers to effectively treat Lyme and other chronic illnesses.

Cutting through the frustration, misinformation and endless questions, Dr. Horowitz's enlightening story of medical discovery, science and politics is an all-in-one source for patients of chronic illness to identify their own symptoms and work with their doctors for the best possible treatment outcome.

Features modern research and methodology on the spread of infectious diseases and showcases a broad range of multi-disciplinary and state-of-the-art techniques on geo-simulation, geo-visualization, remote sensing, metapopulation modeling, cloud computing, and pattern analysis

Given the ongoing risk of infectious diseases worldwide, it is crucial to develop appropriate analysis methods, models, and tools to assess and predict the spread of disease and evaluate the risk. Analyzing and Modeling Spatial and Temporal Dynamics of Infectious Diseases features mathematical and spatial modeling approaches that integrate applications from various fields such as geo-computation and simulation, spatial analytics, mathematics, statistics, epidemiology, and health policy. In addition, the book captures the latest advances in the use of geographic information system (GIS), global positioning system (GPS), and other location-based technologies in the spatial and temporal study of infectious diseases.

Highlighting the current practices and methodology via various infectious disease studies, Analyzing and Modeling Spatial and Temporal Dynamics of Infectious Diseases features:

Approaches to better use infectious disease data collected from various sources for analysis and modeling purposes Examples of disease spreading dynamics, including West Nile virus, bird flu, Lyme disease, pandemic influenza (H1N1), and schistosomiasis Modern techniques such as Smartphone use in spatio-temporal usage data, cloud computing-enabled cluster detection, and communicable disease geo-simulation based on human mobility An overview of different mathematical, statistical, spatial modeling, and geo-simulation techniques
Analyzing and Modeling Spatial and Temporal Dynamics of Infectious Diseases is an excellent resource for researchers and scientists who use, manage, or analyze infectious disease data, need to learn various traditional and advanced analytical methods and modeling techniques, and become aware of different issues and challenges related to infectious disease modeling and simulation. The book is also a useful textbook and/or supplement for upper-undergraduate and graduate-level courses in bioinformatics, biostatistics, public health and policy, and epidemiology.
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