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Analyzing and Modeling Spatial and Temporal Dynamics of Infectious Diseases (Hardcover)
Loot Price: R3,717
Discovery Miles 37 170
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Analyzing and Modeling Spatial and Temporal Dynamics of Infectious Diseases (Hardcover)
Expected to ship within 12 - 17 working days
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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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