Spatial Epidemiological Approaches In Disease Mapping And Analysis
Download Spatial Epidemiological Approaches In Disease Mapping And Analysis full books in PDF, epub, and Kindle. Read online free Spatial Epidemiological Approaches In Disease Mapping And Analysis ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
| Author | : Poh-Chin Lai |
| Publisher | : CRC Press |
| Total Pages | : 206 |
| Release | : 2008-08-18 |
| Genre | : Mathematics |
| ISBN | : 1420045539 |
Containing method descriptions and step-by-step procedures, the Spatial Epidemiological Approaches in Disease Mapping and Analysis equips readers with skills to prepare health-related data in the proper format, process these data using relevant functions and software, and display the results as mapped or statistical summaries. Describing the wide r
| Author | : POH-CHIN. SO LAI (FUN-MUN. CHAN, KA-WING.) |
| Publisher | : CRC Press |
| Total Pages | : 204 |
| Release | : 2020-06-30 |
| Genre | : |
| ISBN | : 9780367577490 |
Use of GIS applications in the medical community is not a new concept by any means. But the ability to apply GIS technology on a wide scale is often hampered by the sophistication and complexity of the methodology and the limited access to affordable software. Spatial Epidemiological Approaches in Disease Mapping and Analysis illustrates the utilities of freeware using real-world data and leads users down the logical decision-making path toward developing spatial-statistical relationships. This internationally reputable guide brings instructional clarity to its treatment of spatial-statistical techniques, subjecting epidemiological data to statistical rigor and advanced methodological testing. With the help of a vivid color insert, this book illustrates the applications of GIS in examining non-contagious (asthma and dengue) and contagious (SARS) diseases, making it applicable to any public health condition on any scale. This example-filled resource: Documents how GIS can be applied in examining disease occurrences from the spatial perspective, Includes links to freeware so disease occurrence data can be examined for spatial randomness, dependencies, patterns, and trends, Allows for a variety of downloadable freeware to practice spatial analysis, like GeoDa, CrimeStaf, and Health Mapper, This landmark work follows a truly interdisciplinary model, capturing the complexity of GIS for the non-specialist in a ready-to-implement way and spotlighting the global challenge of analyzing public health concerns in a geographical context. Book jacket.
| Author | : Paul Elliott |
| Publisher | : |
| Total Pages | : 506 |
| Release | : 2000 |
| Genre | : Epidemiology |
| ISBN | : |
This is a new paperback edition of the well received text Spatial Epid emiology: Methods and Applications. It is an easy to read, clear and c oncise exploration of the field of geographical variations in diseases . Especially with respect to variations in environmental exposures at the small-area scale this book gives an authoriative account of curren t practice and developments. The recent and rapid expansion of the fie ld looks set to continue in line with growing public, governmental and media concern about environmental and health issues, and the scientif ic need to understand and explain the effects of environmental polluta nts on health.
| Author | : Andrew B. Lawson |
| Publisher | : John Wiley & Sons |
| Total Pages | : 302 |
| Release | : 2013-07-08 |
| Genre | : Medical |
| ISBN | : 1118723171 |
Spatial epidemiology is the description and analysis of the geographical distribution of disease. It is more important now than ever, with modern threats such as bio-terrorism making such analysis even more complex. This second edition of Statistical Methods in Spatial Epidemiology is updated and expanded to offer a complete coverage of the analysis and application of spatial statistical methods. The book is divided into two main sections: Part 1 introduces basic definitions and terminology, along with map construction and some basic models. This is expanded upon in Part II by applying this knowledge to the fundamental problems within spatial epidemiology, such as disease mapping, ecological analysis, disease clustering, bio-terrorism, space-time analysis, surveillance and infectious disease modelling. Provides a comprehensive overview of the main statistical methods used in spatial epidemiology. Updated to include a new emphasis on bio-terrorism and disease surveillance. Emphasizes the importance of space-time modelling and outlines the practical application of the method. Discusses the wide range of software available for analyzing spatial data, including WinBUGS, SaTScan and R, and features an accompanying website hosting related software. Contains numerous data sets, each representing a different approach to the analysis, and provides an insight into various modelling techniques. This text is primarily aimed at medical statisticians, researchers and practitioners from public health and epidemiology. It is also suitable for postgraduate students of statistics and epidemiology, as well professionals working in government agencies.
| Author | : Andrew B. Lawson |
| Publisher | : CRC Press |
| Total Pages | : 704 |
| Release | : 2016-04-06 |
| Genre | : Mathematics |
| ISBN | : 148225302X |
Handbook of Spatial Epidemiology explains how to model epidemiological problems and improve inference about disease etiology from a geographical perspective. Top epidemiologists, geographers, and statisticians share interdisciplinary viewpoints on analyzing spatial data and space-time variations in disease incidences. These analyses can provide imp
| Author | : Dirk U. Pfeiffer |
| Publisher | : OUP Oxford |
| Total Pages | : 154 |
| Release | : 2008-05-29 |
| Genre | : Medical |
| ISBN | : 0191523275 |
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.
| Author | : Dongmei Chen |
| Publisher | : John Wiley & Sons |
| Total Pages | : 496 |
| Release | : 2014-12-31 |
| Genre | : Medical |
| ISBN | : 1118629930 |
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.
| Author | : Craig Beam |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 242 |
| Release | : 2013-03-14 |
| Genre | : Medical |
| ISBN | : 1475735715 |
Biostatistics is defined as much by its application as it is by theory. This book provides an introduction to biostatistical applications in modern cancer research that is both accessible and valuable to the cancer biostatistician or to the cancer researcher, learning biostatistics. The topical areas include active areas of the application of biostatistics to modern cancer research: survival analysis, screening, diagnostics, spatial analysis and the analysis of microarray data. Biostatistics is an essential component of basic and clinical cancer research. The text, authored by distinguished figures in the field, addresses clinical issues in statistical analysis. The spectrum of topics discussed ranges from fundamental methodology to clinical and translational applications.
| Author | : Gavin Shaddick |
| Publisher | : CRC Press |
| Total Pages | : 383 |
| Release | : 2015-06-17 |
| Genre | : Mathematics |
| ISBN | : 1482237040 |
Teaches Students How to Perform Spatio-Temporal Analyses within Epidemiological StudiesSpatio-Temporal Methods in Environmental Epidemiology is the first book of its kind to specifically address the interface between environmental epidemiology and spatio-temporal modeling. In response to the growing need for collaboration between statisticians and
| Author | : Raj S. Bhopal |
| Publisher | : Oxford University Press |
| Total Pages | : 481 |
| Release | : 2016 |
| Genre | : Medical |
| ISBN | : 0198739680 |
First edition published in 2002. Second edition published in 2008.
