Statistical Methods In Spatial Epidemiology

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Statistical Methods in Spatial Epidemiology

Author : Andrew B. Lawson
Publisher : John Wiley & Sons
Page : 302 pages
File Size : 49,9 Mb
Release : 2013-07-08
Category : Medical
ISBN : 9781118723173

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Statistical Methods in Spatial Epidemiology by Andrew B. Lawson Pdf

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.

Handbook of Spatial Epidemiology

Author : Andrew B. Lawson,Sudipto Banerjee,Robert P. Haining,Maria Dolores Ugarte
Publisher : CRC Press
Page : 704 pages
File Size : 53,5 Mb
Release : 2016-04-06
Category : Mathematics
ISBN : 9781482253023

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Handbook of Spatial Epidemiology by Andrew B. Lawson,Sudipto Banerjee,Robert P. Haining,Maria Dolores Ugarte Pdf

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

Spatial Epidemiology

Author : Paul Elliott
Publisher : Unknown
Page : 506 pages
File Size : 51,6 Mb
Release : 2000
Category : Epidemiology
ISBN : CORNELL:31924102043506

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Spatial Epidemiology by Paul Elliott Pdf

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.

Spatial Analysis in Epidemiology

Author : Dirk U. Pfeiffer,Timothy P. Robinson,Mark Stevenson,Kim B. Stevens,David J. Rogers,Archie C.A. Clements
Publisher : Oxford University Press
Page : 171 pages
File Size : 54,5 Mb
Release : 2008-05-29
Category : Computers
ISBN : 9780198509882

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Spatial Analysis in Epidemiology by Dirk U. Pfeiffer,Timothy P. Robinson,Mark Stevenson,Kim B. Stevens,David J. Rogers,Archie C.A. Clements Pdf

Providing a practical, comprehensive and up-to-date overview of the use of spatial statistics in epidemiology, this book examines spatial analytical methods in conjunction with GIS and remotely sensed data to provide insights into the patterns and processes that underlie disease transmission.

Spatial Epidemiological Approaches in Disease Mapping and Analysis

Author : Poh-Chin Lai,Fun-Mun So,Ka-Wing Chan
Publisher : CRC Press
Page : 206 pages
File Size : 43,5 Mb
Release : 2008-08-18
Category : Mathematics
ISBN : 9781420045536

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Spatial Epidemiological Approaches in Disease Mapping and Analysis by Poh-Chin Lai,Fun-Mun So,Ka-Wing Chan Pdf

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

Handbook of Spatial Statistics

Author : Alan E. Gelfand,Peter Diggle,Peter Guttorp,Montserrat Fuentes
Publisher : CRC Press
Page : 622 pages
File Size : 49,6 Mb
Release : 2010-03-19
Category : Mathematics
ISBN : 9781420072884

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Handbook of Spatial Statistics by Alan E. Gelfand,Peter Diggle,Peter Guttorp,Montserrat Fuentes Pdf

Assembling a collection of very prominent researchers in the field, the Handbook of Spatial Statistics presents a comprehensive treatment of both classical and state-of-the-art aspects of this maturing area. It takes a unified, integrated approach to the material, providing cross-references among chapters.The handbook begins with a historical intro

Statistical Methods for Disease Clustering

Author : Toshiro Tango
Publisher : Springer Science & Business Media
Page : 240 pages
File Size : 53,5 Mb
Release : 2010-01-09
Category : Mathematics
ISBN : 9781441915726

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Statistical Methods for Disease Clustering by Toshiro Tango Pdf

This book is intended to provide a text on statistical methods for detecting clus ters and/or clustering of health events that is of interest to ?nal year undergraduate and graduate level statistics, biostatistics, epidemiology, and geography students but will also be of relevance to public health practitioners, statisticians, biostatisticians, epidemiologists, medical geographers, human geographers, environmental scien tists, and ecologists. Prerequisites are introductory biostatistics and epidemiology courses. With increasing public health concerns about environmental risks, the need for sophisticated methods for analyzing spatial health events is immediate. Further more, the research area of statistical tests for disease clustering now attracts a wide audience due to the perceived need to implement wide ranging monitoring systems to detect possible health related bioterrorism activity. With this background and the development of the geographical information system (GIS), the analysis of disease clustering of health events has seen considerable development over the last decade. Therefore, several excellent books on spatial epidemiology and statistics have re cently been published. However, it seems to me that there is no other book solely focusing on statistical methods for disease clustering. I hope that readers will ?nd this book useful and interesting as an introduction to the subject.

Applied Spatial Statistics for Public Health Data

Author : Lance A. Waller,Carol A. Gotway
Publisher : Wiley-Interscience
Page : 520 pages
File Size : 51,5 Mb
Release : 2004-07-15
Category : Mathematics
ISBN : 0471387711

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Applied Spatial Statistics for Public Health Data by Lance A. Waller,Carol A. Gotway Pdf

An application-based introduction to the statistical analysis of spatially referenced health data Sparked by the growing interest in statistical methods for the analysis of spatially referenced data in the field of public health, Applied Spatial Statistics for Public Health Data fills the need for an introductory, application-oriented text on this timely subject. Written for practicing public health researchers as well as graduate students in related fields, the text provides a thorough introduction to basic concepts and methods in applied spatial statistics as well as a detailed treatment of some of the more recent methods in spatial statistics useful for public health studies that have not been previously covered elsewhere. Assuming minimal knowledge of spatial statistics, the authors provide important statistical approaches for assessing such questions as: Are newly occurring cases of a disease "clustered" in space? Do the cases cluster around suspected sources of increased risk, such as toxic waste sites or other environmental hazards? How do we take monitored pollution concentrations measured at specific locations and interpolate them to locations where no measurements were taken? How do we quantify associations between local disease rates and local exposures? After reviewing traditional statistical methods used in public health research, the text provides an overview of the basic features of spatial data, illustrates various geographic mapping and visualization tools, and describes the sources of publicly available spatial data that might be useful in public health applications.

Statistics for Spatial Data

Author : Noel Cressie
Publisher : John Wiley & Sons
Page : 931 pages
File Size : 49,9 Mb
Release : 2015-03-18
Category : Mathematics
ISBN : 9781119115182

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Statistics for Spatial Data by Noel Cressie Pdf

The Wiley Classics Library consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation. With these new unabridged softcover volumes, Wiley hopes to extend the lives of these works by making them available to future generations of statisticians, mathematicians, and scientists. Spatial statistics — analyzing spatial data through statistical models — has proven exceptionally versatile, encompassing problems ranging from the microscopic to the astronomic. However, for the scientist and engineer faced only with scattered and uneven treatments of the subject in the scientific literature, learning how to make practical use of spatial statistics in day-to-day analytical work is very difficult. Designed exclusively for scientists eager to tap into the enormous potential of this analytical tool and upgrade their range of technical skills, Statistics for Spatial Data is a comprehensive, single-source guide to both the theory and applied aspects of spatial statistical methods. The hard-cover edition was hailed by Mathematical Reviews as an "excellent book which will become a basic reference." This paper-back edition of the 1993 edition, is designed to meet the many technological challenges facing the scientist and engineer. Concentrating on the three areas of geostatistical data, lattice data, and point patterns, the book sheds light on the link between data and model, revealing how design, inference, and diagnostics are an outgrowth of that link. It then explores new methods to reveal just how spatial statistical models can be used to solve important problems in a host of areas in science and engineering. Discussion includes: Exploratory spatial data analysis Spectral theory for stationary processes Spatial scale Simulation methods for spatial processes Spatial bootstrapping Statistical image analysis and remote sensing Computational aspects of model fitting Application of models to disease mapping Designed to accommodate the practical needs of the professional, it features a unified and common notation for its subject as well as many detailed examples woven into the text, numerous illustrations (including graphs that illuminate the theory discussed) and over 1,000 references. Fully balancing theory with applications, Statistics for Spatial Data, Revised Edition is an exceptionally clear guide on making optimal use of one of the ascendant analytical tools of the decade, one that has begun to capture the imagination of professionals in biology, earth science, civil, electrical, and agricultural engineering, geography, epidemiology, and ecology.

Spatial Analysis in Epidemiology

Author : Dirk U. Pfeiffer,Timothy P. Robinson,Mark Stevenson,Kim B. Stevens,David J. Rogers,Archie C. A. Clements
Publisher : OUP Oxford
Page : 154 pages
File Size : 49,7 Mb
Release : 2008-05-29
Category : Medical
ISBN : 9780191523274

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Spatial Analysis in Epidemiology by Dirk U. Pfeiffer,Timothy P. Robinson,Mark Stevenson,Kim B. Stevens,David J. Rogers,Archie C. A. Clements Pdf

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.

Applied Spatial Statistics for Public Health Data

Author : Lance A. Waller,Carol A. Gotway
Publisher : John Wiley & Sons
Page : 522 pages
File Size : 45,9 Mb
Release : 2004-07-29
Category : Mathematics
ISBN : 9780471662679

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Applied Spatial Statistics for Public Health Data by Lance A. Waller,Carol A. Gotway Pdf

While mapped data provide a common ground for discussions between the public, the media, regulatory agencies, and public health researchers, the analysis of spatially referenced data has experienced a phenomenal growth over the last two decades, thanks in part to the development of geographical information systems (GISs). This is the first thorough overview to integrate spatial statistics with data management and the display capabilities of GIS. It describes methods for assessing the likelihood of observed patterns and quantifying the link between exposures and outcomes in spatially correlated data. This introductory text is designed to serve as both an introduction for the novice and a reference for practitioners in the field Requires only minimal background in public health and only some knowledge of statistics through multiple regression Touches upon some advanced topics, such as random effects, hierarchical models and spatial point processes, but does not require prior exposure Includes lavish use of figures/illustrations throughout the volume as well as analyses of several data sets (in the form of "data breaks") Exercises based on data analyses reinforce concepts

Statistical Analysis of Spatial Point Patterns

Author : Peter Diggle
Publisher : Hodder Education
Page : 159 pages
File Size : 41,9 Mb
Release : 2003
Category : Mathematics
ISBN : 0340740701

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Statistical Analysis of Spatial Point Patterns by Peter Diggle Pdf

This is a new edition of the classic monograph, published in 1983, that described those statistical methods that are used to analyse spatial data. This edition has been entirely updated with the latest developments in the analysis of spatial data which have grown to become a large area of concern in environmental and epidemiological research. There is a website connected with the volume that contains additional data sets and a new chapter on spatial epidemiology. It is appropriate for graduate level statisticians in various disciplines.

Geospatial Health Data

Author : Paula Moraga
Publisher : CRC Press
Page : 217 pages
File Size : 41,8 Mb
Release : 2019-11-26
Category : Medical
ISBN : 9781000732153

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Geospatial Health Data by Paula Moraga Pdf

Geospatial health data are essential to inform public health and policy. These data can be used to quantify disease burden, understand geographic and temporal patterns, identify risk factors, and measure inequalities. Geospatial Health Data: Modeling and Visualization with R-INLA and Shiny describes spatial and spatio-temporal statistical methods and visualization techniques to analyze georeferenced health data in R. The book covers the following topics: Manipulate and transform point, areal, and raster data, Bayesian hierarchical models for disease mapping using areal and geostatistical data, Fit and interpret spatial and spatio-temporal models with the Integrated Nested Laplace Approximations (INLA) and the Stochastic Partial Differential Equation (SPDE) approaches, Create interactive and static visualizations such as disease maps and time plots, Reproducible R Markdown reports, interactive dashboards, and Shiny web applications that facilitate the communication of insights to collaborators and policy makers. The book features fully reproducible examples of several disease and environmental applications using real-world data such as malaria in The Gambia, cancer in Scotland and USA, and air pollution in Spain. Examples in the book focus on health applications, but the approaches covered are also applicable to other fields that use georeferenced data including epidemiology, ecology, demography or criminology. The book provides clear descriptions of the R code for data importing, manipulation, modeling and visualization, as well as the interpretation of the results. This ensures contents are fully reproducible and accessible for students, researchers and practitioners.

Spatial Epidemiological Approaches in Disease Mapping and Analysis

Author : POH-CHIN. SO LAI (FUN-MUN. CHAN, KA-WING.),Fun-Mun So,Ka-Wing Chan
Publisher : CRC Press
Page : 204 pages
File Size : 49,8 Mb
Release : 2020-06-30
Category : Electronic
ISBN : 0367577496

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Spatial Epidemiological Approaches in Disease Mapping and Analysis by POH-CHIN. SO LAI (FUN-MUN. CHAN, KA-WING.),Fun-Mun So,Ka-Wing Chan Pdf

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.

Statistical Methods for Global Health and Epidemiology

Author : Xinguang Chen,(Din) Ding-Geng Chen
Publisher : Springer Nature
Page : 420 pages
File Size : 41,9 Mb
Release : 2020-04-13
Category : Medical
ISBN : 9783030352608

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Statistical Methods for Global Health and Epidemiology by Xinguang Chen,(Din) Ding-Geng Chen Pdf

This book examines statistical methods and models used in the fields of global health and epidemiology. It includes methods such as innovative probability sampling, data harmonization and encryption, and advanced descriptive, analytical and monitory methods. Program codes using R are included as well as real data examples. Contemporary global health and epidemiology involves a myriad of medical and health challenges, including inequality of treatment, the HIV/AIDS epidemic and its subsequent control, the flu, cancer, tobacco control, drug use, and environmental pollution. In addition to its vast scales and telescopic perspective; addressing global health concerns often involves examining resource-limited populations with large geographic, socioeconomic diversities. Therefore, advancing global health requires new epidemiological design, new data, and new methods for sampling, data processing, and statistical analysis. This book provides global health researchers with methods that will enable access to and utilization of existing data. Featuring contributions from both epidemiological and biostatistical scholars, this book is a practical resource for researchers, practitioners, and students in solving global health problems in research, education, training, and consultation.