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Author: Paula Moraga
Publisher: CRC Press
ISBN: 1000732150
Category : Medical
Languages : en
Pages : 216
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Book Description
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.
Author: Paula Moraga
Publisher: CRC Press
ISBN: 1000732150
Category : Medical
Languages : en
Pages : 216
Get Book Here
Book Description
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.
Author: Alan L. Melnick
Publisher: Jones & Bartlett Learning
ISBN: 9780834218789
Category : Computers
Languages : en
Pages : 324
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Book Description
This clear and accessible text helps public health students and officials gain a solid understanding of geographic information systems technology. Using examples drawn from public health practice, the author shows how to best harness the opportunities of this exciting technological development.
Author: Francis P. Boscoe
Publisher: CABI
ISBN: 1780640897
Category : Medical
Languages : en
Pages : 229
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Book Description
Focussing on proven techniques for most real-world data sets, this book presents an overview of the analysis of health data involving a geographic component, in a way that is accessible to any health scientist or student comfortable with large data sets and basic statistics, but not necessarily with any specialized training in geographic information systems (GIS). Providing clear, straightforward explanations with worldwide examples and solutions, the book describes applications of GIS in disaster response.
Author: David O'Sullivan
Publisher:
ISBN:
Category : Mathematics
Languages : en
Pages : 440
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Book Description
Geographic Information Analysis provides up-to-date coverage of the foundations of spatial data analysis through visualization and maps. This book covers key spatial concepts, including point pattern, line objects and networks, area objects, and continuous fields, as well as such new subjects as local statistics. With crucial methods for analyzing geographical information, this is an essential reference for professionals as well as a useful text for the classroom.
Author: Gerard Rushton
Publisher: CRC Press
ISBN: 0849384338
Category : Mathematics
Languages : en
Pages : 258
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Book Description
In the past, disease pattern mapping depended on census tracts based on political units, such as states and counties. However, with the advent of geographic information systems (GIS), researchers can now achieve a new level of precision and flexibility in geographic locating. This emerging technology allows the mapping of many different kinds of ge
Author: Kang-Tsung Chang
Publisher:
ISBN: 9780072382112
Category : Technology & Engineering
Languages : en
Pages : 374
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Book Description
Author: Institute of Medicine
Publisher: National Academies Press
ISBN: 030918570X
Category : Medical
Languages : en
Pages : 210
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Book Description
In early 2007, the Institute of Medicine convened the Roundtable on Health Disparities to increase the visibility of racial and ethnic health disparities as a national problem, to further the development of programs and strategies to reduce disparities, to foster the emergence of leadership on this issue, and to track promising activities and developments in health care that could lead to dramatically reducing or eliminating disparities. The Roundtable's first workshop, Challenges and Successes in Reducing Health Disparities, was held in St. Louis, Missouri, on July 31, 2007, and examined (1) the importance of differences in life expectancy within the United States, (2) the reasons for those differences, and (3) the implications of this information for programs and policy makers.
Author: Harvey J. Miller
Publisher: Oxford University Press, USA
ISBN: 9780195123944
Category : Science
Languages : en
Pages : 474
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Book Description
GIS data and tools are revolutionizing transportation research and decision making, allowing transportation analysts and professionals to understand and solve complex transportation problems that were previously impossible. Here, Miller and Shaw present a comprehensive discussion of fundamental geographic science and the applications of these principles using GIS and other software tools. By providing thorough and accessible discussions of transportation analysis within a GIS environment, this volume fills a critical niche in GIS-T and GIS literature.
Author: David W. S. Wong
Publisher: John Wiley & Sons
ISBN:
Category : Mathematics
Languages : en
Pages : 472
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Book Description
CD-ROM contains complete set of ArcView Extensions used in text and accompanying datasets.
Author: Institute of Medicine
Publisher: National Academies Press
ISBN: 0309085195
Category : Medical
Languages : en
Pages : 215
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Book Description
The Agency for Healthcare Research Quality commissioned the Institute of Medicine establish a committee to provide guidance on the National Healthcare Disparities Report is of access to health care, utilization of services, and the services received. The committee was asked to con population characteristics as race and ethnicity, society status, and geographic location. It was also asked to examine factors that included possible data sources and types of measures for the report.
