Disease Mapping And Risk Assessment For Public Health

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Disease Mapping and Risk Assessment for Public Health

Author : Andrew B. Lawson,Annibale Biggeri,Dankmar Böhning,Emmanuel Lesaffre,Jean-Fran Viel,Roberto Bertollini
Publisher : Wiley
Page : 0 pages
File Size : 50,5 Mb
Release : 1999-07-09
Category : Mathematics
ISBN : 0471986348

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Disease Mapping and Risk Assessment for Public Health by Andrew B. Lawson,Annibale Biggeri,Dankmar Böhning,Emmanuel Lesaffre,Jean-Fran Viel,Roberto Bertollini Pdf

Offers an in-depth report on advanced statistical tools for public health disease surveillance, which is the result of a prestigious World Health Organisation (WHO) and EU Biomed programme initiative. Traditionally, the role of public health disease surveillance has been to identify and evaluate morbidity and mortality but increasingly, more sophisticated methods are being applied as the authorities extend their studies to include control and prevention of disease. This book brings together leading experts to discuss complex methodologies for the statistical evaluation of disease mapping and risk assessment. It includes a broad variety of statistical techniques and where appropriate, examples are included on topical issues such as the analysis of putative health hazards. For easy reference the text is presented in five distinct sections, each with an introductory review: * Disease Mapping * Clustering of Disesase * Ecological Analysis * Risk Assessment for Putative Sources of Hazard * Public Health Applications and Case Studies Representative of the most pertinent issues within disease surveillance and mapping, this book will provide an accessible overview for statisticians and epidemiologists.

Using R for Bayesian Spatial and Spatio-Temporal Health Modeling

Author : Andrew B. Lawson
Publisher : CRC Press
Page : 300 pages
File Size : 50,5 Mb
Release : 2021-04-28
Category : Mathematics
ISBN : 9781000376708

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Using R for Bayesian Spatial and Spatio-Temporal Health Modeling by Andrew B. Lawson Pdf

Progressively more and more attention has been paid to how location affects health outcomes. The area of disease mapping focusses on these problems, and the Bayesian paradigm has a major role to play in the understanding of the complex interplay of context and individual predisposition in such studies of disease. Using R for Bayesian Spatial and Spatio-Temporal Health Modeling provides a major resource for those interested in applying Bayesian methodology in small area health data studies. Features: Review of R graphics relevant to spatial health data Overview of Bayesian methods and Bayesian hierarchical modeling as applied to spatial data Bayesian Computation and goodness-of-fit Review of basic Bayesian disease mapping models Spatio-temporal modeling with MCMC and INLA Special topics include multivariate models, survival analysis, missing data, measurement error, variable selection, individual event modeling, and infectious disease modeling Software for fitting models based on BRugs, Nimble, CARBayes and INLA Provides code relevant to fitting all examples throughout the book at a supplementary website The book fills a void in the literature and available software, providing a crucial link for students and professionals alike to engage in the analysis of spatial and spatio-temporal health data from a Bayesian perspective using R. The book emphasizes the use of MCMC via Nimble, BRugs, and CARBAyes, but also includes INLA for comparative purposes. In addition, a wide range of packages useful in the analysis of geo-referenced spatial data are employed and code is provided. It will likely become a key reference for researchers and students from biostatistics, epidemiology, public health, and environmental science.

Disease Mapping with WinBUGS and MLwiN

Author : Andrew B. Lawson,William J. Browne,Carmen L. Vidal Rodeiro
Publisher : John Wiley & Sons
Page : 292 pages
File Size : 54,7 Mb
Release : 2003-10-31
Category : Mathematics
ISBN : 9780470856055

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Disease Mapping with WinBUGS and MLwiN by Andrew B. Lawson,William J. Browne,Carmen L. Vidal Rodeiro Pdf

Disease mapping involves the analysis of geo-referenced disease incidence data and has many applications, for example within resource allocation, cluster alarm analysis, and ecological studies. There is a real need amongst public health workers for simpler and more efficient tools for the analysis of geo-referenced disease incidence data. Bayesian and multilevel methods provide the required efficiency, and with the emergence of software packages – such as WinBUGS and MLwiN – are now easy to implement in practice. Provides an introduction to Bayesian and multilevel modelling in disease mapping. Adopts a practical approach, with many detailed worked examples. Includes introductory material on WinBUGS and MLwiN. Discusses three applications in detail – relative risk estimation, focused clustering, and ecological analysis. Suitable for public health workers and epidemiologists with a sound statistical knowledge. Supported by a Website featuring data sets and WinBUGS and MLwiN programs. Disease Mapping with WinBUGS and MLwiN provides a practical introduction to the use of software for disease mapping for researchers, practitioners and graduate students from statistics, public health and epidemiology who analyse disease incidence data.

GIS and Public Health

Author : Ellen K. Cromley,Sara McLafferty
Publisher : Guilford Press
Page : 529 pages
File Size : 43,7 Mb
Release : 2012-01-01
Category : Science
ISBN : 9781609187507

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GIS and Public Health by Ellen K. Cromley,Sara McLafferty Pdf

Authoritative and comprehensive, this is the leading text and professional resource on using geographic information systems (GIS) to analyze and address public health problems. Basic GIS concepts and tools are explained, including ways to access and manage spatial databases. The book presents state-of-the-art methods for mapping and analyzing data on population, health events, risk factors, and health services, and for incorporating geographical knowledge into planning and policy. Numerous maps, diagrams, and real-world applications are featured. The companion Web page provides lab exercises with data that can be downloaded for individual or course use. New to This Edition *Incorporates major technological advances, such as Internet-based mapping systems and the rise of data from cell phones and other GPS-enabled devices. *Chapter on health disparities. *Expanded coverage of public participation GIS. *Companion Web page has all-new content. *Goes beyond the United States to encompass an international focus.

Assessment of Population Health Risks of Policies

Author : Gabriel Guliš,Odile Mekel,Balázs Ádám,Liliana Cori
Publisher : Springer Science & Business Media
Page : 282 pages
File Size : 51,9 Mb
Release : 2013-10-17
Category : Medical
ISBN : 9781461485971

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Assessment of Population Health Risks of Policies by Gabriel Guliš,Odile Mekel,Balázs Ádám,Liliana Cori Pdf

Assessment of Population Health Risks of Policies Gabriel Guliš, Odile Mekel, Balázs Ádám, and Liliana Cori, editors Public health continues to evolve as professionals work not only to prevent disease and promote well-being but also to reduce health disparities and protect the environment. To a greater extent, policy is intimately linked to this process, a reality that is gaining traction in the public health sector. With this understanding in mind, Assessment of Population Health Risks of Policies introduces an international set of guidelines, Risk Assessment from Policies to Impact Dimension (RAPID). In keeping with widely recognized models of public health operations, this innovative methodology factors in social, environmental, and economic health determinants to predict adverse outcomes to populations arising from large-scale policy decisions. Case studies from across the European Union illustrate both the intricacies of risk quantification and other components of assessment and possible relationships between policy and health outcomes. And contributors suggest how international health standards may be implemented despite significant cultural and political differences among nations. Included in the coverage: Public health, policy analysis, risk assessment and impact assessment Risk assessment, impact assessment and evaluation Top-down versus bottom-up policy risk assessment Quantification of health risks Application of RAPID guidance on an international policy Use of policy risk assessment results in political decision making Assessment of Population Health Risks of Policies is an essential and proactive read for researchers and practitioners in impact assessment, public policy, public health, and epidemiology.

GIS in Public Health Practice

Author : Massimo Craglia,Ravi Maheswaran
Publisher : CRC Press
Page : 322 pages
File Size : 46,8 Mb
Release : 2016-04-19
Category : Medical
ISBN : 9780203720349

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GIS in Public Health Practice by Massimo Craglia,Ravi Maheswaran Pdf

Significant advances in the evaluation and use of geographic information have had a major effect on key elements of public health. Strides in mapping technology as well as the availability and accuracy of health information enable public health practitioners to link and analyze data in new ways at international, regional, and even street levels. Th

Bayesian Disease Mapping

Author : Andrew B. Lawson
Publisher : CRC Press
Page : 464 pages
File Size : 43,7 Mb
Release : 2018-05-20
Category : Mathematics
ISBN : 9781351271752

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Bayesian Disease Mapping by Andrew B. Lawson Pdf

Since the publication of the second 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, Third Edition provides an up-to-date, cohesive account of the full range of Bayesian disease mapping methods and applications. In addition to the new material, the book also 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. The target audience for this text is public health specialists, epidemiologists, and biostatisticians who need to work with geo-referenced health data.

Handbook of Spatial Epidemiology

Author : Andrew B. Lawson,Sudipto Banerjee,Robert P. Haining,Maria Dolores Ugarte
Publisher : CRC Press
Page : 704 pages
File Size : 49,9 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

GIS for Emergency Preparedness and Health Risk Reduction

Author : David J. Briggs,Pip Forer,Lars Järup,Richard Stern
Publisher : Springer Science & Business Media
Page : 329 pages
File Size : 46,7 Mb
Release : 2012-12-06
Category : Science
ISBN : 9789401006163

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GIS for Emergency Preparedness and Health Risk Reduction by David J. Briggs,Pip Forer,Lars Järup,Richard Stern Pdf

Geographical Information Systems (GIS) have developed rapidly in recent years and now provide powerful tools for the capture, manipulation, integration, interrogation, modelling, analysis and visualisation of data - tools that are already used for policy support in a wide range of areas at almost all geographic and administrative levels. This holds especially for emergency preparedness and health risk reduction, which are all essentially spatial problems. To date, however, many initiatives have remained disconnected and uncoordinated, leading to less powerful, less compatible and less widely implemented systems than might otherwise have been the case. The important matters discussed here include the probabilistic nature of most environmental hazards and the semi-random factors that influence interactions between these and human exposures; the effects of temporal and spatial scales on hazard assessment and imputed risk; the effects of measurement error in risk estimation and the stratification of risks and their impacts according to socioeconomic characteristics; and the quantification of socioeconomic differences in vulnerability and susceptibility to environmental hazards.

Geospatial Analysis of Public Health

Author : Gouri Sankar Bhunia,Pravat Kumar Shit
Publisher : Springer
Page : 228 pages
File Size : 51,5 Mb
Release : 2018-12-29
Category : Science
ISBN : 9783030016807

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Geospatial Analysis of Public Health by Gouri Sankar Bhunia,Pravat Kumar Shit Pdf

This book is specifically designed to serve the community of postgraduates and researchers in the fields of epidemiology, health GIS, medical geography, and health management. It starts with the basic concepts and role of remote sensing, GIS in Kala-azar diseases. The book gives an exhaustive coverage of Satellite data, GPS, GIS, spatial and attribute data modeling, and geospatial analysis of Kala-azar diseases. It also presents the modern trends of remote sensing and GIS in health risk assessment with an illustrated discussion on its numerous applications.

Stochastic Medical Reasoning and Environmental Health Exposure

Author : George Christakos,Jinfeng Wang,Jiaping Wu
Publisher : World Scientific
Page : 356 pages
File Size : 49,7 Mb
Release : 2014
Category : Medical
ISBN : 9781908977502

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Stochastic Medical Reasoning and Environmental Health Exposure by George Christakos,Jinfeng Wang,Jiaping Wu Pdf

The validity of certain critical reasoning steps carried out during or on the sidelines of the environmental science, public health survey, medical experiment, population risk assessment, or disease spaceOCotime mapping under conditions of in situ uncertainty and spaceOCotime heterogeneity, is often not given sufficient attention and may even be out of the investigator''s line of thought. For example, the technical complexity of an environmental exposure experiment may overshadow the logical assumptions made when moving from one phase of the experiment to the next, or the study of population risk assessment may focus on analytical and computational matters, whereas methodological and cultural factors are neglected. This book helps health investigators structure their thinking so that they avoid logical mistakes and argument pitfalls, and also gain new insights about reality, improve their awareness of the environment and context within which one''s thinking takes place. Sample Chapter(s). Chapter 1: Medical Sciences in the Age of Synthesis (439 KB). Contents: Medical Sciences in the Age of Synthesis; Reasoning Amidst Uncertainty; The Role of Probability; SpaceOCoTime Medical Mapping and Causation Modeling; Looking Ahead. Readership: Practitioners and researchers in environmental and health sciences.

Public Health in Europe

Author : Wilhelm Kirch
Publisher : Springer Science & Business Media
Page : 376 pages
File Size : 53,5 Mb
Release : 2012-12-06
Category : Medical
ISBN : 9783642188268

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Public Health in Europe by Wilhelm Kirch Pdf

With the background of the 10 years' existence of the European Public Health Association (EUPHA) the present book deals with the developments and results of European Public Health in Science and Practice. The contributions involve actual aspects and issues of different topics in Public Health: - Health care management and quality assurance in various settings - Health promotion and prevention for different population groups - Health related information and communication - Health care policy and science.

Bayesian Disease Mapping

Author : Andrew B. Lawson
Publisher : CRC Press
Page : 398 pages
File Size : 46,6 Mb
Release : 2013-03-18
Category : Mathematics
ISBN : 9781466504813

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Bayesian Disease Mapping by Andrew B. Lawson Pdf

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.

Bayesian Disease Mapping

Author : Andrew B. Lawson
Publisher : Chapman & Hall/CRC
Page : 464 pages
File Size : 45,7 Mb
Release : 2018
Category : Mathematics
ISBN : 1351271768

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Bayesian Disease Mapping by Andrew B. Lawson Pdf

Since the publication of the second 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, Third Edition provides an up-to-date, cohesive account of the full range of Bayesian disease mapping methods and applications. In addition to the new material, the book also 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. The target audience for this text is public health specialists, epidemiologists, and biostatisticians who need to work with geo-referenced health data.

Statistical Methods in Spatial Epidemiology

Author : Andrew B. Lawson
Publisher : John Wiley & Sons
Page : 302 pages
File Size : 48,6 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.