Analyzing and Modeling Spatial and Temporal Dynamics of Infectious Diseases (eBook, PDF)

Redaktion: Chen, Dongmei; Wu, Jianhong; Moulin, Bernard

• Format: PDF

Produktbeschreibung

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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Produktdetails

• Verlag: John Wiley & Sons
• Seitenzahl: 496
• Erscheinungstermin: 1. Dezember 2014
• Englisch
• ISBN-13: 9781118630037
• Artikelnr.: 41941406

Autorenporträt

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.

Inhaltsangabe

Foreword ix Nicholas Chrisman Acknowledgements xi Editors xiii Contributors
xv PART I OVERVIEW 1 Introduction to Analyzing and Modeling Spatial and
Temporal Dynamics of Infectious Diseases 3 Dongmei Chen, Bernard Moulin,
and Jianhong Wu 2 Modeling the Spread of Infectious Diseases: A Review 19
Dongmei Chen PART II MATHEMATICAL MODELING OF INFECTIOUS DISEASES 3 West
Nile Virus: A Narrative from Bioinformatics and Mathematical Modeling
Studies 45 U.S.N. Murty, Amit K. Banerjee, and Jianhong Wu 4 West Nile
Virus Risk Assessment and Forecasting Using Statistical and Dynamical
Models 77 Ahmed Abdelrazec, Yurong Cao, Xin Gao, Paul Proctor, Hui Zheng,
and Huaiping Zhu 5 Using Mathematical Modeling to Integrate Disease
Surveillance and Global Air Transportation Data 97 Julien Arino and Kamran
Khan 6 Malaria Models with Spatial Effects 109 Daozhou Gao and Shigui Ruan
7 Avian Influenza Spread and Transmission Dynamics 137 Lydia Bourouiba,
Stephen Gourley, Rongsong Liu, John Takekawa, and Jianhong Wu PART III
SPATIAL ANALYSIS AND STATISTICAL MODELING OF INFECTIOUS DISEASES 8
Analyzing the Potential Impact of Bird Migration on the Global Spread of
H5N1 Avian Influenza (2007-2011) Using Spatiotemporal Mapping Methods 163
Heather Richardson and Dongmei Chen 9 Cloud Computing-Enabled Cluster
Detection Using a Flexibly Shaped Scan Statistic for Real-Time Syndromic
Surveillance 177 Paul Belanger and Kieran Moore 10 Mapping the Distribution
of Malaria: Current Approaches and Future Directions 189 Leah R. Johnson,
Kevin D. Lafferty, Amy McNally, Erin Mordecai, Krijn P. Paaijmans, Samraat
Pawar, and Sadie J. Ryan 11 Statistical Modeling of Spatiotemporal
Infectious Disease Transmission 211 Rob Deardon, Xuan Fang, and Grace P.S.
Kwong 12 Spatiotemporal Dynamics of Schistosomiasis in China:
Bayesian-Based Geostatistical Analysis 233 Zhi-Jie Zhang 13 Spatial
Analysis and Statistical Modeling of 2009 H1N1 Pandemic in the Greater
Toronto Area 247 Frank Wen, Dongmei Chen, and Anna Majury 14 West Nile
Virus Mosquito Abundance Modeling Using Nonstationary Spatiotemporal
Geostatistics 263 Eun-Hye Yoo, Dongmei Chen, and Curtis Russel 15 Spatial
Pattern Analysis of Multivariate Disease Data 283 Cindy X. Feng and
Charmaine B. Dean PART IV GEOSIMULATION AND TOOLS FOR ANALYZING AND
SIMULATING SPREADS OF INFECTIOUS DISEASES 16 The ZoonosisMAGS Project (Part
1): Population-Based Geosimulation of Zoonoses in an Informed Virtual
Geographic Environment 299 Bernard Moulin, Mondher Bouden, and Daniel
Navarro 17 ZoonosisMAGS Project (Part 2): Complementarity of a
Rapid-Prototyping Tool and of a Full-Scale Geosimulator for
Population-Based Geosimulation of Zoonoses 341 Bernard Moulin, Daniel
Navarro, Dominic Marcotte, Said Sedrati, and Mondher Bouden 18 Web Mapping
and Behavior Pattern Extraction Tools to Assess Lyme Disease Risk for
Humans in Peri-urban Forests 371 Hedi Haddad, Bernard Moulin, Franck
Manirakiza, Christelle M¿eha, Vincent Godard, and Samuel Mermet 19 An
Integrated Approach for Communicable Disease Geosimulation Based on
Epidemiological, Human Mobility and Public Intervention Models 403 Hedi
Haddad, Bernard Moulin, and Marius Thériault 20 Smartphone Trajectories as
Data Sources for Agent-based Infection-spread Modeling 443 Marcia R.
Friesen and Robert D. McLeod Index 473