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Computer-based infectious disease surveillance systems are capable
of real-time or near real-time detection of serious illnesses and
potential bioterrorism agent exposures and represent a major step
forward in disease surveillance. Infectious Disease Informatics:
Syndromic Surveillance for Public Health and Bio-Defense is an
in-depth monograph that analyzes and evaluates the outbreak
modeling and detection capabilities of existing surveillance
systems under a unified framework, and presents the first
book-length coverage of the subject from an informatics-driven
perspective. Individual chapters consider the state of the art,
including the facilitation of data collection, sharing and
transmission; a focus on various outbreak detection methods; data
visualization and information dissemination issues; and system
assessment and other policy issues. Eight chapters then report on
several real-world case studies, summarizing and comparing eight
syndromic surveillance systems, including those that have been
adopted by many public health agencies (e.g., RODS and BioSense).
The book concludes with a discussion of critical issues and
challenges, with a look to future directions. This book is an
excellent source of current information for researchers in public
health and IT. Government public health officials and
private-sector practitioners in both public health and IT will find
the most up-to-date information available, and students from a
variety of disciplines, including public health, biostatistics,
information systems, computer science, and public administration
and policy will get a comprehensive look at the concepts,
techniques, and practices of syndromic surveillance.
Computer-based infectious disease surveillance systems are capable
of real-time or near real-time detection of serious illnesses and
potential bioterrorism agent exposures and represent a major step
forward in disease surveillance. Infectious Disease Informatics:
Syndromic Surveillance for Public Health and Bio-Defense is an
in-depth monograph that analyzes and evaluates the outbreak
modeling and detection capabilities of existing surveillance
systems under a unified framework, and presents the first
book-length coverage of the subject from an informatics-driven
perspective. Individual chapters consider the state of the art,
including the facilitation of data collection, sharing and
transmission; a focus on various outbreak detection methods; data
visualization and information dissemination issues; and system
assessment and other policy issues. Eight chapters then report on
several real-world case studies, summarizing and comparing eight
syndromic surveillance systems, including those that have been
adopted by many public health agencies (e.g., RODS and BioSense).
The book concludes with a discussion of critical issues and
challenges, with a look to future directions. This book is an
excellent source of current information for researchers in public
health and IT. Government public health officials and
private-sector practitioners in both public health and IT will find
the most up-to-date information available, and students from a
variety of disciplines, including public health, biostatistics,
information systems, computer science, and public administration
and policy will get a comprehensive look at the concepts,
techniques, and practices of syndromic surveillance.
This book provides a systematic treatment of the mathematical
underpinnings of work in the theory of outbreak dynamics and their
control, covering balanced perspectives between theory and practice
including new material on contemporary topics in the field of
infectious disease modelling. Specifically, it presents a unified
mathematical framework linked to the distribution theory of
non-negative random variables; the many examples used in the text,
are introduced and discussed in light of theoretical perspectives.
The book is organized into 9 chapters: The first motivates the
presentation of the material on subsequent chapters; Chapter 2-3
provides a review of basic concepts of probability and statistical
models for the distributions of continuous lifetime data and the
distributions of random counts and counting processes, which are
linked to phenomenological models. Chapters 4 focuses on dynamic
behaviors of a disease outbreak during the initial phase while
Chapters 5-6 broadly cover compartment models to investigate the
consequences of epidemics as the outbreak moves beyond the initial
phase. Chapter 7 provides a transition between mostly theoretical
topics in earlier chapters and Chapters 8 and 9 where the focus is
on the data generating processes and statistical issues of fitting
models to data as well as specific mathematical epidemic modeling
applications, respectively. This book is aimed at a wide audience
ranging from graduate students to established scientists from
quantitatively-oriented fields of epidemiology, mathematics and
statistics. The numerous examples and illustrations make
understanding of the mathematics of disease transmission and
control accessible. Furthermore, the examples and exercises, make
the book suitable for motivated students in applied mathematics,
either through a lecture course, or through self-study. This text
could be used in graduate schools or special summer schools
covering research problems in mathematical biology.
Scroll shoulder tool is a relatively new friction stir welding
(FSW) tool introduced by The Welding Institute of UK in 1999. It
offers extra advantages of eliminating the tilted tool axis that is
usually used in conventional tool FSW and performing non-linear
thick section FSW with a relatively simple machine. However, the
forming mechanism of its shoulder flow zone still remains
unidentified. This mechanism is fundamental in designing a proper
scroll shoulder tool to produce a defect-free weld. This monograph,
firstly, systematically reviewed FSW tool design, weld zone
material flow pattern and flow forming mechanism, and scroll
shoulder tool shoulder flow zone formation to date. Then, a novel
scroll shoulder tool design and experimental techniques were
detailed. Subsequently, the experimental results were presented.
Finally, the shoulder flow zone forming mechanism and strategy to
secure weld quality for scroll shoulder tool were suggested. This
study has revealed for the first time the forming mechanism of
shoulder flow zone and approaches to control weld quality for
scroll shoulder tool. This monograph is an excellent reference for
FSW researchers, engineers and practitioners.
Over the last few years, the field of nanotechnology has shaped up
to be the next big thing, with many potential applications such as
switches, sensors, and single-molecule devices. Compared to the
vast literature covering inorganic semiconductor nanomaterials,
little is available on organic nanostructures and molecular
devices. Perylene diimides are a group of organic compounds well
known for their high fluorescence quantum yield, high
photostability, and high charge carrier mobilities. This book,
therefore, provides a safari to the young and promising field of
nano- and molecular device research field built on perylene
diimides. Four distinctly different topics are covered: fluorescent
redox switch; self-organization of nanostructure; single-molecule
device; conformational switch. This book should be especially
useful to professionals in self-assembly, biosensor, and
single-molecule spectroscopy research fields, or anyone else who
may be interested in utilizing nano- and molecular devices and
borrowing the design principles for their own research.
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