Model Based Geostatistics For Global Public Health

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Model-based Geostatistics for Global Public Health

Author : Peter J. Diggle
Publisher : CRC Press
ISBN 13 : 1351743279
Total Pages : 248 pages
Book Rating : 4.3/5 (517 download)

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Book Synopsis Model-based Geostatistics for Global Public Health by : Peter J. Diggle

Download or read book Model-based Geostatistics for Global Public Health written by Peter J. Diggle and published by CRC Press. This book was released on 2019-03-04 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt: Model-based Geostatistics for Global Public Health: Methods and Applications provides an introductory account of model-based geostatistics, its implementation in open-source software and its application in public health research. In the public health problems that are the focus of this book, the authors describe and explain the pattern of spatial variation in a health outcome or exposure measurement of interest. Model-based geostatistics uses explicit probability models and established principles of statistical inference to address questions of this kind. Features: Presents state-of-the-art methods in model-based geostatistics. Discusses the application these methods some of the most challenging global public health problems including disease mapping, exposure mapping and environmental epidemiology. Describes exploratory methods for analysing geostatistical data, including: diagnostic checking of residuals standard linear and generalized linear models; variogram analysis; Gaussian process models and geostatistical design issues. Includes a range of more complex geostatistical problems where research is ongoing. All of the results in the book are reproducible using publicly available R code and data-sets, as well as a dedicated R package. This book has been written to be accessible not only to statisticians but also to students and researchers in the public health sciences. The Authors Peter Diggle is Distinguished University Professor of Statistics in the Faculty of Health and Medicine, Lancaster University. He also holds honorary positions at the Johns Hopkins University School of Public Health, Columbia University International Research Institute for Climate and Society, and Yale University School of Public Health. His research involves the development of statistical methods for analyzing spatial and longitudinal data and their applications in the biomedical and health sciences. Dr Emanuele Giorgi is a Lecturer in Biostatistics and member of the CHICAS research group at Lancaster University, where he formerly obtained a PhD in Statistics and Epidemiology in 2015. His research interests involve the development of novel geostatistical methods for disease mapping, with a special focus on malaria and other tropical diseases. In 2018, Dr Giorgi was awarded the Royal Statistical Society Research Prize "for outstanding published contribution at the interface of statistics and epidemiology." He is also the lead developer of PrevMap, an R package where all the methodology found in this book has been implemented.

Model-based Geostatistics

Author : Peter Diggle
Publisher : Springer Science & Business Media
ISBN 13 : 0387485368
Total Pages : 232 pages
Book Rating : 4.3/5 (874 download)

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Book Synopsis Model-based Geostatistics by : Peter Diggle

Download or read book Model-based Geostatistics written by Peter Diggle and published by Springer Science & Business Media. This book was released on 2007-05-26 with total page 232 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume is the first book-length treatment of model-based geostatistics. The text is expository, emphasizing statistical methods and applications rather than the underlying mathematical theory. Analyses of datasets from a range of scientific contexts feature prominently, and simulations are used to illustrate theoretical results. Readers can reproduce most of the computational results in the book by using the authors' software package, geoR, whose usage is illustrated in a computation section at the end of each chapter. The book assumes a working knowledge of classical and Bayesian methods of inference, linear models, and generalized linear models.

Mapping Global Justice

Author : Arnaud Kurze
Publisher : Taylor & Francis
ISBN 13 : 1000655202
Total Pages : 273 pages
Book Rating : 4.0/5 (6 download)

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Book Synopsis Mapping Global Justice by : Arnaud Kurze

Download or read book Mapping Global Justice written by Arnaud Kurze and published by Taylor & Francis. This book was released on 2022-10-14 with total page 273 pages. Available in PDF, EPUB and Kindle. Book excerpt: Persistent international conflicts, increasing inequality in many regions or the world, and acute environmental and climate-related threats to humanity call for a better understanding of the processes, actors and tools available to face the challenges of achieving global justice. This book offers a broad and multidisciplinary survey of global justice, bridging the gap between theory and practice by connecting conceptual frameworks with a panoply of case studies and an in-depth discussion of practical challenges. Connecting these critical aspects to larger moral and ethical debates is essential for thinking about large, abstract ideas and applying them directly to specific contexts. Core content includes: Key debates in global justice from across philosophy, postcolonial studies, political science, sociology and criminology The origins of global justice and the development of the human rights agenda; peacekeeping and post-conflict studies Global poverty and sustainable development Global security and transnational crime Environmental justice, public health and well-being Rather than providing a blueprint for the practice of global justice, this text problematizes efforts to cope with many justice related issues. The pedagogical approach is designed to map the difficulties that exist between theory and praxis, encourage critical thinking and fuel debates to help seek alternative solutions. Bringing together perspectives from a wealth of disciplines, this book is essential reading for courses on global justice across criminology, sociology, political science, anthropology, philosophy and law.

Geospatial Health Data

Author : Paula Moraga
Publisher : CRC Press
ISBN 13 : 1000732150
Total Pages : 217 pages
Book Rating : 4.0/5 (7 download)

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Book Synopsis Geospatial Health Data by : Paula Moraga

Download or read book Geospatial Health Data written by Paula Moraga and published by CRC Press. This book was released on 2019-11-26 with total page 217 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Statistical Methods for Global Health and Epidemiology

Author : Xinguang Chen
Publisher : Springer Nature
ISBN 13 : 3030352609
Total Pages : 420 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis Statistical Methods for Global Health and Epidemiology by : Xinguang Chen

Download or read book Statistical Methods for Global Health and Epidemiology written by Xinguang Chen and published by Springer Nature. This book was released on 2020-04-13 with total page 420 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Geostatistical Functional Data Analysis

Author : Jorge Mateu
Publisher : John Wiley & Sons
ISBN 13 : 1119387841
Total Pages : 452 pages
Book Rating : 4.1/5 (193 download)

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Book Synopsis Geostatistical Functional Data Analysis by : Jorge Mateu

Download or read book Geostatistical Functional Data Analysis written by Jorge Mateu and published by John Wiley & Sons. This book was released on 2021-12-13 with total page 452 pages. Available in PDF, EPUB and Kindle. Book excerpt: Geostatistical Functional Data Analysis Explore the intersection between geostatistics and functional data analysis with this insightful new reference Geostatistical Functional Data Analysis presents a unified approach to modelling functional data when spatial and spatio-temporal correlations are present. The Editors link together the wide research areas of geostatistics and functional data analysis to provide the reader with a new area called geostatistical functional data analysis that will bring new insights and new open questions to researchers coming from both scientific fields. This book provides a complete and up-to-date account to deal with functional data that is spatially correlated, but also includes the most innovative developments in different open avenues in this field. Containing contributions from leading experts in the field, this practical guide provides readers with the necessary tools to employ and adapt classic statistical techniques to handle spatial regression. The book also includes: A thorough introduction to the spatial kriging methodology when working with functions A detailed exposition of more classical statistical techniques adapted to the functional case and extended to handle spatial correlations Practical discussions of ANOVA, regression, and clustering methods to explore spatial correlation in a collection of curves sampled in a region In-depth explorations of the similarities and differences between spatio-temporal data analysis and functional data analysis Aimed at mathematicians, statisticians, postgraduate students, and researchers involved in the analysis of functional and spatial data, Geostatistical Functional Data Analysis will also prove to be a powerful addition to the libraries of geoscientists, environmental scientists, and economists seeking insightful new knowledge and questions at the interface of geostatistics and functional data analysis.

Modern Biostatistical Methods for Evidence-Based Global Health Research

Author : Ding-Geng (Din) Chen
Publisher : Springer Nature
ISBN 13 : 3031110129
Total Pages : 489 pages
Book Rating : 4.0/5 (311 download)

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Book Synopsis Modern Biostatistical Methods for Evidence-Based Global Health Research by : Ding-Geng (Din) Chen

Download or read book Modern Biostatistical Methods for Evidence-Based Global Health Research written by Ding-Geng (Din) Chen and published by Springer Nature. This book was released on 2022-11-25 with total page 489 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an overview of the emerging topics in biostatistical theories and methods through their applications to evidence-based global health research and decision-making. It brings together some of the top scholars engaged in biostatistical method development on global health to highlight and describe recent advances in evidence-based global health applications. The volume is composed of five main parts: data harmonization and analysis; systematic review and statistical meta-analysis; spatial-temporal modeling and disease mapping; Bayesian statistical modeling; and statistical methods for longitudinal data or survival data. It is designed to be illuminating and valuable to both expert biostatisticians and to health researchers engaged in methodological applications in evidence-based global health research. It is particularly relevant to countries where global health research is being rigorously conducted.

Innovative Strategies, Statistical Solutions and Simulations for Modern Clinical Trials

Author : Mark Chang
Publisher : CRC Press
ISBN 13 : 1351214527
Total Pages : 218 pages
Book Rating : 4.3/5 (512 download)

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Book Synopsis Innovative Strategies, Statistical Solutions and Simulations for Modern Clinical Trials by : Mark Chang

Download or read book Innovative Strategies, Statistical Solutions and Simulations for Modern Clinical Trials written by Mark Chang and published by CRC Press. This book was released on 2019-03-20 with total page 218 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This is truly an outstanding book. [It] brings together all of the latest research in clinical trials methodology and how it can be applied to drug development.... Chang et al provide applications to industry-supported trials. This will allow statisticians in the industry community to take these methods seriously." Jay Herson, Johns Hopkins University The pharmaceutical industry's approach to drug discovery and development has rapidly transformed in the last decade from the more traditional Research and Development (R & D) approach to a more innovative approach in which strategies are employed to compress and optimize the clinical development plan and associated timelines. However, these strategies are generally being considered on an individual trial basis and not as part of a fully integrated overall development program. Such optimization at the trial level is somewhat near-sighted and does not ensure cost, time, or development efficiency of the overall program. This book seeks to address this imbalance by establishing a statistical framework for overall/global clinical development optimization and providing tactics and techniques to support such optimization, including clinical trial simulations. Provides a statistical framework for achieve global optimization in each phase of the drug development process. Describes specific techniques to support optimization including adaptive designs, precision medicine, survival-endpoints, dose finding and multiple testing. Gives practical approaches to handling missing data in clinical trials using SAS. Looks at key controversial issues from both a clinical and statistical perspective. Presents a generous number of case studies from multiple therapeutic areas that help motivate and illustrate the statistical methods introduced in the book. Puts great emphasis on software implementation of the statistical methods with multiple examples of software code (both SAS and R). It is important for statisticians to possess a deep knowledge of the drug development process beyond statistical considerations. For these reasons, this book incorporates both statistical and "clinical/medical" perspectives.

Community Participatory Involvement

Author : Linda M Whiteford
Publisher : Routledge
ISBN 13 : 1315431955
Total Pages : 163 pages
Book Rating : 4.3/5 (154 download)

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Book Synopsis Community Participatory Involvement by : Linda M Whiteford

Download or read book Community Participatory Involvement written by Linda M Whiteford and published by Routledge. This book was released on 2016-07-01 with total page 163 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book provides researchers, students, and practitioners in public health, anthropology, and related fields with a brief introduction to a health-care model, Community Participatory Involvement (CPI), which for 20 years has proved successful in fighting global health problems. CPI differs from other community-based models in that it involves a unique synergy of local, civil, and political authorities. Using a South American cholera epidemic as an example, the book -explains in step-by-step detail how the CPI model is used;-includes teaching activities, a list of important tools, and model workshops;-demonstrates how the CPI model can be replicated to deal with a diverse range of public concerns, from the control of infectious diseases to animal husbandry to teacher education.

GIS and Public Health

Author : Ellen K. Cromley
Publisher : Guilford Press
ISBN 13 : 1609187504
Total Pages : 529 pages
Book Rating : 4.6/5 (91 download)

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Book Synopsis GIS and Public Health by : Ellen K. Cromley

Download or read book GIS and Public Health written by Ellen K. Cromley and published by Guilford Press. This book was released on 2012-01-01 with total page 529 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Spatial Statistics and Geostatistics

Author : Yongwan Chun
Publisher : SAGE
ISBN 13 : 1446291626
Total Pages : 202 pages
Book Rating : 4.4/5 (462 download)

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Book Synopsis Spatial Statistics and Geostatistics by : Yongwan Chun

Download or read book Spatial Statistics and Geostatistics written by Yongwan Chun and published by SAGE. This book was released on 2013-01-11 with total page 202 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Ideal for anyone who wishes to gain a practical understanding of spatial statistics and geostatistics. Difficult concepts are well explained and supported by excellent examples in R code, allowing readers to see how each of the methods is implemented in practice" - Professor Tao Cheng, University College London Focusing specifically on spatial statistics and including components for ArcGIS, R, SAS and WinBUGS, this book illustrates the use of basic spatial statistics and geostatistics, as well as the spatial filtering techniques used in all relevant programs and software. It explains and demonstrates techniques in: spatial sampling spatial autocorrelation local statistics spatial interpolation in two-dimensions advanced topics including Bayesian methods, Monte Carlo simulation, error and uncertainty. It is a systematic overview of the fundamental spatial statistical methods used by applied researchers in geography, environmental science, health and epidemiology, population and demography, and planning. A companion website includes digital R code for implementing the analyses in specific chapters and relevant data sets to run the R codes.

Analyzing and Modeling Spatial and Temporal Dynamics of Infectious Diseases

Author : Dongmei Chen
Publisher : John Wiley & Sons
ISBN 13 : 1118629930
Total Pages : 496 pages
Book Rating : 4.1/5 (186 download)

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Book Synopsis Analyzing and Modeling Spatial and Temporal Dynamics of Infectious Diseases by : Dongmei Chen

Download or read book Analyzing and Modeling Spatial and Temporal Dynamics of Infectious Diseases written by Dongmei Chen and published by John Wiley & Sons. This book was released on 2014-12-31 with total page 496 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Spatiotemporal Analysis of Air Pollution and Its Application in Public Health

Author : Lixin Li
Publisher : Elsevier
ISBN 13 : 012816526X
Total Pages : 336 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Spatiotemporal Analysis of Air Pollution and Its Application in Public Health by : Lixin Li

Download or read book Spatiotemporal Analysis of Air Pollution and Its Application in Public Health written by Lixin Li and published by Elsevier. This book was released on 2019-11-13 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: Spatiotemporal Analysis of Air Pollution and Its Application in Public Health reviews, in detail, the tools needed to understand the spatial temporal distribution and trends of air pollution in the atmosphere, including how this information can be tied into the diverse amount of public health data available using accurate GIS techniques. By utilizing GIS to monitor, analyze and visualize air pollution problems, it has proven to not only be the most powerful, accurate and flexible way to understand the atmosphere, but also a great way to understand the impact air pollution has in diverse populations. This book is essential reading for novices and experts in atmospheric science, geography and any allied fields investigating air pollution. Introduces readers to the benefits and uses of geo-spatiotemporal analyses of big data to reveal new and greater understanding of the intersection of air pollution and health Ties in machine learning to improve speed and efficacy of data models Includes developing visualizations, historical data, and real-time air pollution in large geographic areas

Applied Spatial Statistics for Public Health Data

Author : Lance A. Waller
Publisher : Wiley-Interscience
ISBN 13 : 0471662674
Total Pages : 512 pages
Book Rating : 4.4/5 (716 download)

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Book Synopsis Applied Spatial Statistics for Public Health Data by : Lance A. Waller

Download or read book Applied Spatial Statistics for Public Health Data written by Lance A. Waller and published by Wiley-Interscience. This book was released on 2004-08-12 with total page 512 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Geostatistical Simulation

Author : Christian Lantuejoul
Publisher : Springer Science & Business Media
ISBN 13 : 3662048086
Total Pages : 262 pages
Book Rating : 4.6/5 (62 download)

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Book Synopsis Geostatistical Simulation by : Christian Lantuejoul

Download or read book Geostatistical Simulation written by Christian Lantuejoul and published by Springer Science & Business Media. This book was released on 2013-06-29 with total page 262 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book deals with the estimation of natural resources using the Monte Carlo methodology. It includes a set of tools to describe the morphological, statistical and stereological properties of spatial random models. Furthermore, the author presents a wide range of spatial models, including random sets and functions, point processes and object populations applicable to the geosciences. The text is based on a series of courses given in the USA and Latin America to civil, mining and petroleum engineers as well as graduate students in statistics. It is the first book to discuss the geostatistical simulation techniques in such a specific way.

Spatial Statistics and Computational Methods

Author : Jesper Møller
Publisher : Springer Science & Business Media
ISBN 13 : 0387218114
Total Pages : 217 pages
Book Rating : 4.3/5 (872 download)

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Book Synopsis Spatial Statistics and Computational Methods by : Jesper Møller

Download or read book Spatial Statistics and Computational Methods written by Jesper Møller and published by Springer Science & Business Media. This book was released on 2013-04-17 with total page 217 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume shows how sophisticated spatial statistical and computational methods apply to a range of problems of increasing importance for applications in science and technology. It introduces topics of current interest in spatial and computational statistics, which should be accessible to postgraduate students as well as to experienced statistical researchers.

Geographically Weighted Regression

Author : A. Stewart Fotheringham
Publisher : John Wiley & Sons
ISBN 13 : 0470855258
Total Pages : 282 pages
Book Rating : 4.4/5 (78 download)

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Book Synopsis Geographically Weighted Regression by : A. Stewart Fotheringham

Download or read book Geographically Weighted Regression written by A. Stewart Fotheringham and published by John Wiley & Sons. This book was released on 2003-02-21 with total page 282 pages. Available in PDF, EPUB and Kindle. Book excerpt: Geographical Weighted Regression (GWR) is a new local modelling technique for analysing spatial analysis. This technique allows local as opposed to global models of relationships to be measured and mapped. This is the first and only book on this technique, offering comprehensive coverage on this new 'hot' topic in spatial analysis. * Provides step-by-step examples of how to use the GWR model using data sets and examples on issues such as house price determinants, educational attainment levels and school performance statistics * Contains a broad discussion of and basic concepts on GWR through to ideas on statistical inference for GWR models * uniquely features accompanying author-written software that allows users to undertake sophisticated and complex forms of GWR within a user-friendly, Windows-based, front-end (see book for details).