{"product_id":"analyzing-and-modeling-spatial-and-temporal-dynamics-of-infectious-diseases-isbn-9781118629932","title":"Analyzing and Modeling Spatial and Temporal Dynamics of Infectious Diseases","description":"\u003cp\u003e\u003cb\u003eFeatures 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\u003cbr\u003e\u003cbr\u003e\u003c\/b\u003eGiven 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. \u003ci\u003eAnalyzing and Modeling Spatial and Temporal Dynamics of Infectious Diseases \u003c\/i\u003efeatures 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.\u003cbr\u003e\u003cbr\u003eHighlighting the current practices and methodology via various infectious disease studies, \u003ci\u003eAnalyzing and Modeling Spatial and Temporal Dynamics of Infectious Diseases \u003c\/i\u003efeatures:\u003cbr\u003e\u003cbr\u003e\u003c\/p\u003e \u003cul\u003e \u003cli\u003eApproaches to better use infectious disease data collected from various sources for analysis and modeling purposes\u003c\/li\u003e \u003cli\u003eExamples of disease spreading dynamics, including West Nile virus, bird flu, Lyme disease, pandemic influenza (H1N1), and schistosomiasis\u003c\/li\u003e \u003cli\u003eModern techniques such as Smartphone use in spatio-temporal usage data, cloud computing-enabled cluster detection, and communicable disease geo-simulation based on human mobility\u003c\/li\u003e \u003cli\u003eAn overview of different mathematical, statistical, spatial modeling, and geo-simulation techniques\u003c\/li\u003e \u003c\/ul\u003e \u003cbr\u003e\u003ci\u003eAnalyzing and Modeling Spatial and Temporal Dynamics of Infectious Diseases \u003c\/i\u003eis 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.  \u003cp\u003eForeword ix\u003cbr\u003e Nicholas Chrisman\u003c\/p\u003e \u003cp\u003eAcknowledgements xi\u003c\/p\u003e \u003cp\u003eEditors xiii\u003c\/p\u003e \u003cp\u003eContributors xv\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePART I OVERVIEW\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e1 Introduction to Analyzing and Modeling Spatial and Temporal Dynamics of Infectious Diseases 3\u003cbr\u003e \u003ci\u003eDongmei Chen, Bernard Moulin, and Jianhong Wu\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e2 Modeling the Spread of Infectious Diseases: A Review 19\u003cbr\u003e \u003ci\u003eDongmei Chen\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePART II MATHEMATICAL MODELING OF INFECTIOUS DISEASES\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e3 West Nile Virus: A Narrative from Bioinformatics and Mathematical Modeling Studies 45\u003cbr\u003e \u003ci\u003eU.S.N. Murty, Amit K. Banerjee, and Jianhong Wu\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e4 West Nile Virus Risk Assessment and Forecasting Using Statistical and Dynamical Models 77\u003cbr\u003e \u003ci\u003eAhmed Abdelrazec, Yurong Cao, Xin Gao, Paul Proctor, Hui Zheng, and Huaiping Zhu\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e5 Using Mathematical Modeling to Integrate Disease Surveillance and Global Air Transportation Data 97\u003cbr\u003e \u003ci\u003eJulien Arino and Kamran Khan\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e6 Malaria Models with Spatial Effects 109\u003cbr\u003e \u003ci\u003eDaozhou Gao and Shigui Ruan\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e7 Avian Influenza Spread and Transmission Dynamics 137\u003cbr\u003e \u003ci\u003eLydia Bourouiba, Stephen Gourley, Rongsong Liu, John Takekawa, and Jianhong Wu\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePART III SPATIAL ANALYSIS AND STATISTICAL MODELING OF INFECTIOUS DISEASES\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e8 Analyzing the Potential Impact of Bird Migration on the Global Spread of H5N1 Avian Influenza (2007–2011) Using Spatiotemporal Mapping Methods 163\u003cbr\u003e \u003ci\u003eHeather Richardson and Dongmei Chen\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e9 Cloud Computing–Enabled Cluster Detection Using a Flexibly Shaped Scan Statistic for Real-Time Syndromic Surveillance 177\u003cbr\u003e \u003ci\u003ePaul Belanger and Kieran Moore\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e10 Mapping the Distribution of Malaria: Current Approaches and Future Directions 189\u003cbr\u003e \u003ci\u003eLeah R. Johnson, Kevin D. Lafferty, Amy McNally, Erin Mordecai, Krijn P. Paaijmans, Samraat Pawar, and Sadie J. Ryan\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e11 Statistical Modeling of Spatiotemporal Infectious Disease Transmission 211\u003cbr\u003e \u003ci\u003eRob Deardon, Xuan Fang, and Grace P.S. Kwong\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e12 Spatiotemporal Dynamics of Schistosomiasis in China: Bayesian-Based Geostatistical Analysis 233\u003cbr\u003e \u003ci\u003eZhi-Jie Zhang\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e13 Spatial Analysis and Statistical Modeling of 2009 H1N1 Pandemic in the Greater Toronto Area 247\u003cbr\u003e \u003ci\u003eFrank Wen, Dongmei Chen, and Anna Majury\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e14 West Nile Virus Mosquito Abundance Modeling Using Nonstationary Spatiotemporal Geostatistics 263\u003cbr\u003e \u003ci\u003eEun-Hye Yoo, Dongmei Chen, and Curtis Russel\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e15 Spatial Pattern Analysis of Multivariate Disease Data 283\u003cbr\u003e \u003ci\u003eCindy X. Feng and Charmaine B. Dean\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePART IV GEOSIMULATION AND TOOLS FOR ANALYZING AND SIMULATING SPREADS OF INFECTIOUS DISEASES\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e16 The ZoonosisMAGS Project (Part 1): Population-Based Geosimulation of Zoonoses in an Informed Virtual Geographic Environment 299\u003cbr\u003e \u003ci\u003eBernard Moulin, Mondher Bouden, and Daniel Navarro\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e17 ZoonosisMAGS Project (Part 2): Complementarity of a Rapid-Prototyping Tool and of a Full-Scale Geosimulator for Population-Based Geosimulation of Zoonoses 341\u003cbr\u003e \u003ci\u003eBernard Moulin, Daniel Navarro, Dominic Marcotte, Said Sedrati, and Mondher Bouden\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e18 Web Mapping and Behavior Pattern Extraction Tools to Assess Lyme Disease Risk for Humans in Peri-urban Forests 371\u003cbr\u003e \u003ci\u003eHedi Haddad, Bernard Moulin, Franck Manirakiza, Christelle M´eha, Vincent Godard, and Samuel Mermet\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e19 An Integrated Approach for Communicable Disease Geosimulation Based on Epidemiological, Human Mobility and Public Intervention Models 403\u003cbr\u003e \u003ci\u003eHedi Haddad, Bernard Moulin, and Marius Thériault\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e20 Smartphone Trajectories as Data Sources for Agent-based Infection-spread Modeling 443\u003cbr\u003e \u003ci\u003eMarcia R. Friesen and Robert D. McLeod\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003eIndex 473\u003c\/p\u003e  \u003cb\u003eDongmei Chen, PhD,\u003c\/b\u003e is Associate Professor in the Department of Geography and Director of the Laboratory for Geographic Information and Spatial Analysis at Queen’s University, Canada.\u003cbr\u003e \u003cbr\u003e \u003cb\u003eBernard Moulin, PhD,\u003c\/b\u003e is Professor in the Department of Computer Science and Software Engineering at Laval University, Canada.\u003cbr\u003e \u003cbr\u003e \u003cb\u003eJianhong Wu, PhD,\u003c\/b\u003e 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.  \u003cp\u003e\u003cb\u003eFeatures 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\u003cbr\u003e \u003cbr\u003e \u003c\/b\u003eGiven 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. \u003ci\u003eAnalyzing and Modeling Spatial and Temporal Dynamics of Infectious Diseases\u003c\/i\u003e 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.\u003cbr\u003e \u003cbr\u003e Highlighting the current practices and methodology via various infectious disease studies, \u003ci\u003eAnalyzing and Modeling Spatial and Temporal Dynamics of Infectious Diseases\u003c\/i\u003e features:\u003cbr\u003e \u003cbr\u003e \u003c\/p\u003e \u003cul\u003e \u003cli\u003eApproaches to better use infectious disease data collected from various sources for analysis and modeling purposes\u003c\/li\u003e \u003cli\u003eExamples of disease spreading dynamics, including West Nile virus, bird flu, Lyme disease, pandemic influenza (H1N1), and schistosomiasis\u003c\/li\u003e \u003cli\u003eModern techniques such as Smartphone use in spatio-temporal usage data, cloud computing-enabled cluster detection, and communicable disease geo-simulation based on human mobility\u003c\/li\u003e \u003cli\u003eAn overview of different mathematical, statistical, spatial modeling, and geo-simulation techniques\u003c\/li\u003e \u003c\/ul\u003e \u003ci\u003e\u003cbr\u003e Analyzing and Modeling Spatial and Temporal Dynamics of Infectious Diseases\u003c\/i\u003e 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.\u003cb\u003e\u003cbr\u003e \u003cbr\u003e \u003c\/b\u003e\u003cb\u003eDongmei Chen, PhD,\u003c\/b\u003e is Associate Professor in the Department of Geography and Director of the Laboratory for Geographic Information and Spatial Analysis at Queen’s University, Canada.\u003cbr\u003e \u003cbr\u003e \u003cb\u003eBernard Moulin, PhD,\u003c\/b\u003e is Professor in the Department of Computer Science and Software Engineering at Laval University, Canada.\u003cbr\u003e \u003cbr\u003e \u003cb\u003eJianhong Wu, PhD,\u003c\/b\u003e 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.","brand":"Wiley","offers":[{"title":"Default Title","offer_id":47988736393445,"sku":"NP9781118629932","price":156.95,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1842\/7735\/files\/9781118629932.jpg?v=1761781386","url":"https:\/\/k12savings.com\/products\/analyzing-and-modeling-spatial-and-temporal-dynamics-of-infectious-diseases-isbn-9781118629932","provider":"K12savings","version":"1.0","type":"link"}