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This book is probably the first to review the subject of geographical information systems (including remote sensing) and spatial analysis as applied to veterinary science. Topics covered include the application of GIS to epidemic disease response, to companion animal epidemiology and to the management of wildlife diseases. There are also chapters on more general issues such as parallels with human health and spatial statistics in the biomedical sciences.
This book provides a practical, comprehensive and up-to-date overview of the use of spatial statistics in epidemiology - the study of the incidence and distribution of diseases. Used appropriately, spatial analytical methods in conjunction with GIS and remotely sensed data can provide significant insights into the biological patterns and processes that underlie disease transmission. In turn, these can be used to understand and predict disease prevalence. This user-friendly text brings together the specialised and widely-dispersed literature on spatial analysis to make these methodological tools accessible to epidemiologists for the first time. With its focus is on application rather than theory, Spatial Analysis in Epidemiology includes a wide range of examples taken from both medical (human) and veterinary (animal) disciplines, and describes both infectious diseases and non-infectious conditions. Furthermore, it provides worked examples of methodologies using a single data set from the same disease example throughout, and is structured to follow the logical sequence of description of spatial data, visualisation, exploration, modelling and decision support. This accessible text is aimed at graduate students and researchers dealing with spatial data in the fields of epidemiology (both medical and veterinary), ecology, zoology and parasitology, environmental science, geography and statistics.
Eine umfassende Einführung zur Rolle der Epidemiologie in der Veterinärmedizin. Die vollständig überarbeitete und erweiterte Ausgabe von Veterinary Epidemiology führt den Leser in das Fachgebiet der Veterinärepidemiologie ein. Diese neue Auflage bietet auch neue Kapitel zur Konzeption von Beobachtungsstudien, Validität von epidemiologischen Studien, zu systematischen Prüfungen und zu statistischen Modellen. Die aktualisierte Auflage beginnt mit einem historischen Blick auf die Entwicklung der Veterinärmedizin. Im Anschluss wird die Fachrichtung Epidemiologie umfassend beleuchtet. Kapitel befassen sich mit den Aspekten Kausalität, Auftreten von Krankheiten, Bestimmungsfaktoren, Krankheitsmustern, Krankheitsökologie u.v.m. Veterinary Epidemiology, 4. Auflage: - Alle Kapitel wurden aktualisiert. Entstanden ist ein modernes Referenzwerk zum Thema Veterinärepidemiologie. - Enthält neue Kapitel, die für die Entwicklung des Fachgebiets maßgeblich sind. - Bietet Beispiele zu Haustieren, Nutztieren und Vögeln sowie zu Krankheiten bei Wassertieren. - Richtet den Fokus auf Prinzipien und Konzepte der Epidemiologie, der Überwachung, der Validierung und Leistungsfähigkeit diagnostischer Tests. - Begleitende Website mit Multiple-Choice-Fragen.
Developments in technologies have evolved in a much wider use of technology throughout science, government, and business; resulting in the expansion of geographic information systems. GIS is the academic study and practice of presenting geographical data through a system designed to capture, store, analyze, and manage geographic information. Geographic Information Systems: Concepts, Methodologies, Tools, and Applications is a collection of knowledge on the latest advancements and research of geographic information systems. This book aims to be useful for academics and practitioners involved in geographical data.
Modern medicine is changing drastically as new technologies emerge to transform the way in which patients are diagnosed, treated, and monitored. In particular, veterinary medicine is experiencing a tremendous shift as digital innovations are integrated into veterinary practice. Veterinary Science: Breakthroughs in Research and Practice contains a compendium of the latest academic material on breakthroughs and recent progress in veterinary science. Including innovative studies on laboratory information management systems, animal welfare, and veterinary reform, this publication is an ideal source for professionals, practitioners, graduate students, and researchers interested in veterinary science.
The interdisciplinary uses of traditional cartographic resources and modern GIS tools allow for the analysis and discovery of information across a wide spectrum of fields. A Research Guide to Cartographic Resources navigates the numerous American and Canadian cartographic resources available in print and online, offering researchers, academics and students with information on how to locate and access the large variety of resources, new and old. Dozens of different cartographic materials are highlighted and summarized, along with lists of map libraries and geospatial centers, and related professional associations. A Research Guide to Cartographic Resources consists of 18 chapters, two appendices, and a detailed index that includes place names, and libraries, structured in a manner consistent with most reference guides, including cartographic categories such as atlases, dictionaries, gazetteers, handbooks, maps, plans, GIS data and other related material. Almost all of the resources listed in this guide are categorized by geography down to the county level, making efficient work of the type of material required to meet the information needs of those interested in researching place-specific cartographic-related resources. Additionally, this guide will help those interested in not only developing a comprehensive collection in these subject areas, but get an understanding of what materials are being collected and housed in specific map libraries, geospatial centers and their related websites. Of particular value are the sections that offer directories of cartographic and GIS libraries, as well as comprehensive lists of geospatial datasets down to the county level. This volume combines the traditional and historical collections of cartography with the modern applications of GIS-based maps and geospatial datasets.
Since the publication of the first edition, many new Bayesian tools and methods have been developed for space-time data analysis, the predictive modeling of health outcomes, and other spatial biostatistical areas. Exploring these new developments, Bayesian Disease Mapping: Hierarchical Modeling in Spatial Epidemiology, Second Edition provides an up-to-date, cohesive account of the full range of Bayesian disease mapping methods and applications. A biostatistics professor and WHO advisor, the author illustrates the use of Bayesian hierarchical modeling in the geographical analysis of disease through a range of real-world datasets. New to the Second Edition Three new chapters on regression and ecological analysis, putative hazard modeling, and disease map surveillance Expanded material on case event modeling and spatiotemporal analysis New and updated examples Two new appendices featuring examples of integrated nested Laplace approximation (INLA) and conditional autoregressive (CAR) models In addition to these new topics, the book covers more conventional areas such as relative risk estimation, clustering, spatial survival analysis, and longitudinal analysis. After an introduction to Bayesian inference, computation, and model assessment, the text focuses on important themes, including disease map reconstruction, cluster detection, regression and ecological analysis, putative hazard modeling, analysis of multiple scales and multiple diseases, spatial survival and longitudinal studies, spatiotemporal methods, and map surveillance. It shows how Bayesian disease mapping can yield significant insights into georeferenced health data. WinBUGS and R are used throughout for data manipulation and simulation.
Geographic information, spatial analysis and geospatial technologies play an important role in understanding changes in planetary health and in defining the drivers contributing to different health outcomes both locally and globally. Patterns influencing health outcomes and disease in the environment are complex and require an understanding of the ecology of the disease and how these interact in space and time. Knowing where and when diseases are prevalent, who is affected and what may be driving these outcomes is important for determining how to respond. In reality, we all would like to be healthy and live in healthy places. In this book, epidemiology and public health are integrated with spatial data science to examine health issues in dynamically changing environments. This is too broad a field to be completely covered in one book, and so, it has been necessary to be selective with the topics, methods and examples used to avoid overwhelming introductory readers while at the same time providing sufficient depth for geospatial experts interested in health and for health professionals interested in integrating geospatial elements for health analysis. A variety of geographic information (some novel, some volunteered, some authoritative, some big and messy) is used with a mix of methods consisting of spatial analysis, data science and spatial statistics to better understand health risks and disease outcomes. Key Features: Makes spatial data science accessible to health Integrates epidemiology and disease ecology with spatial data science Integrates theoretical geographic information science concepts Provides practical and applied approaches for examining and exploring health and disease risks Provides spatial data science skill development ranging from map making to spatial modelling
This new book explores the rapidly expanding applications of spatial analysis, GIS and remote sensing in the health sciences, and medical geography.