Requirements in terms of population data, disease incidence and mortality are considered and related to the scale at which a study is being carried out. Statistical methods are reviewed for large scale correlation studies, intermediate scale smoothing excercises, and small-scale clustering investigations, plus much more.
This book provides geographic perspectives and approaches for use in assessing the distribution of environmental health hazards and disease outcomes among disadvantaged population groups. Estimates suggest that about 40 per cent of the global burden of disease is attributable to exposures to biological and chemical pathogens in the physical environment. And with today's rapid rate of globalization, and these hazardous health effects are likely to increase, with low income and underrepresented communities facing even greater risks. In many places around the world, marginalized communities unwillingly serve as hosts of noxious facilities such as chemical industrial plants, extractive facilities (oil and mining) and other destructive land use activities. Others are being used as illegal dumping grounds for hazardous materials and electronic wastes resulting in air, soil and groundwater contamination. The book informs readers about the geography and emergent health risks that accompany the location of these hazards, with emphasis on vulnerable population groups. The approach is applications-oriented, illustrating the use of health data and geographic approaches to uncover the root causes, contextual factors and processes that produce contaminated environments. Case studies are drawn from the author's research in the United States and Africa, along with a literature review of related studies completed in Europe, Asia and South America. This comparative approach allows readers to better understand the manifestation of environmental hazards and inequities at different spatial scales with localized disparities evident in both developed and developing countries.
The United States is among the wealthiest nations in the world, but it is far from the healthiest. Although life expectancy and survival rates in the United States have improved dramatically over the past century, Americans live shorter lives and experience more injuries and illnesses than people in other high-income countries. The U.S. health disadvantage cannot be attributed solely to the adverse health status of racial or ethnic minorities or poor people: even highly advantaged Americans are in worse health than their counterparts in other, "peer" countries. In light of the new and growing evidence about the U.S. health disadvantage, the National Institutes of Health asked the National Research Council (NRC) and the Institute of Medicine (IOM) to convene a panel of experts to study the issue. The Panel on Understanding Cross-National Health Differences Among High-Income Countries examined whether the U.S. health disadvantage exists across the life span, considered potential explanations, and assessed the larger implications of the findings. U.S. Health in International Perspective presents detailed evidence on the issue, explores the possible explanations for the shorter and less healthy lives of Americans than those of people in comparable countries, and recommends actions by both government and nongovernment agencies and organizations to address the U.S. health disadvantage.
This book focuses on a range of geospatial applications for environmental health research, including environmental justice issues, environmental health disparities, air and water contamination, and infectious diseases. Environmental health research is at an exciting point in its use of geotechnologies, and many researchers are working on innovative approaches. This book is a timely scholarly contribution in updating the key concepts and applications of using GIS and other geospatial methods for environmental health research. Each chapter contains original research which utilizes a geotechnical tool (Geographic Information Systems (GIS), remote sensing, GPS, etc.) to address an environmental health problem. The book is divided into three sections organized around the following themes: issues in GIS and environmental health research; using GIS to assess environmental health impacts; and geospatial methods for environmental health. Representing diverse case studies and geospatial methods, the book is likely to be of interest to researchers, practitioners and students across the geographic and environmental health sciences. The authors are leading researchers and practitioners in the field of GIS and environmental health.
This completely updated edition of Exposure Assessment in Environmental Epidemiology offers a practical introduction to exposure assessment methodologies in environmental epidemiologic studies. In addition to methods for traditional methods -- questionnaires, biomonitoring -- this new edition is expanded to include geographic information systems, modeling, personal sensoring, remote sensing, and OMICs technologies. In addition, each of these methods is contextualized within a recent epidemiology study, maximizing illustration for students and those new to these to these techniques. With clear writing and extensive illustration, this book will be useful to anyone interested in exposure assessment, regardless of background.
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.
Environmental epidemiology is the study of disease and environmental determinants of disease in humans, for example air pollution, water contamination, pesticides and telephone masts. This book describes the methods of environmental epidemiology and provides practical guidance on how to conduct studies on environmental problems and health effects.
From the oceans to continental heartlands, human activities have altered the physical characteristics of Earth's surface. With Earth's population projected to peak at 8 to 12 billion people by 2050 and the additional stress of climate change, it is more important than ever to understand how and where these changes are happening. Innovation in the geographical sciences has the potential to advance knowledge of place-based environmental change, sustainability, and the impacts of a rapidly changing economy and society. Understanding the Changing Planet outlines eleven strategic directions to focus research and leverage new technologies to harness the potential that the geographical sciences offer.
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.