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.

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.

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.

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.

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

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.

This volume is designed to be a comprehensive resource on GIS for students, researchers and practitioners who are interested in asking spatial questions, assessing landscapes, building geodatabases and envisioning a world of integrated geospatial technologies.

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.

In the United States, some populations suffer from far greater disparities in health than others. Those disparities are caused not only by fundamental differences in health status across segments of the population, but also because of inequities in factors that impact health status, so-called determinants of health. Only part of an individual's health status depends on his or her behavior and choice; community-wide problems like poverty, unemployment, poor education, inadequate housing, poor public transportation, interpersonal violence, and decaying neighborhoods also contribute to health inequities, as well as the historic and ongoing interplay of structures, policies, and norms that shape lives. When these factors are not optimal in a community, it does not mean they are intractable: such inequities can be mitigated by social policies that can shape health in powerful ways. Communities in Action: Pathways to Health Equity seeks to delineate the causes of and the solutions to health inequities in the United States. This report focuses on what communities can do to promote health equity, what actions are needed by the many and varied stakeholders that are part of communities or support them, as well as the root causes and structural barriers that need to be overcome.

This best-selling non-technical, reader-friendly introduction to GIS makes the complexity of this rapidly growing high-tech field accessible to beginners. It uses a “learn-by-seeing” approach that features clear, simple explanations, an abundance of illustrations and photos, and generic practice labs for use with any GIS software.What Is a GIS? GIS's Roots in Cartography. Maps as Numbers. Getting the Map into the Computer. What Is Where? Why Is It There? Making Maps with GIS. How to Pick a GIS. GIS in Action. The Future of GIS.For anyone interested in a hands-on introduction to Geographic Information Systems.