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 important information that
leads to better decision making in public health. The first part of
the book addresses general issues related to epidemiology, GIS,
environmental studies, clustering, and ecological analysis. The
second part presents basic statistical methods used in spatial
epidemiology, including fundamental likelihood principles, Bayesian
methods, and testing and nonparametric approaches. With a focus on
special methods, the third part describes geostatistical models,
splines, quantile regression, focused clustering, mixtures,
multivariate methods, and much more. The final part examines
special problems and application areas, such as residential history
analysis, segregation, health services research, health surveys,
infectious disease, veterinary topics, and health surveillance and
clustering. Spatial epidemiology, also known as disease mapping,
studies the geographical or spatial distribution of health
outcomes. This handbook offers a wide-ranging overview of
state-of-the-art approaches to determine the relationships between
health and various risk factors, empowering researchers and policy
makers to tackle public health problems.
General
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