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Spatial Analysis in Epidemiology
2008This book provides an 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,
Pfeiffer, D +5 more
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2001
Abstract This book explores the field of geographical variations in disease. Especially with respect to variations in environmental exposures at the small-area scale, the book gives an account of current practice and developments. The recent and rapid expansion of the field looks set to continue in line with growing public, governmental,
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Abstract This book explores the field of geographical variations in disease. Especially with respect to variations in environmental exposures at the small-area scale, the book gives an account of current practice and developments. The recent and rapid expansion of the field looks set to continue in line with growing public, governmental,
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Statistical Methods in Spatial Epidemiology Spatial Cluster Modelling
Annals of the Association of American Geographers, 2003Andrew B. Lawson. Chichester, U.K.: John Wiley and Sons, Ltd, 2001. 298 pp. $94.50 cloth (ISBN 0-471-97572-9). Andrew B. Lawson and David G. T. Denison. Boca Raton, FL: Chapman and Hall/CRC, 2002.
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Hierarchical modeling in spatial epidemiology
WIREs Computational Statistics, 2014This paper considers the basic concepts and methods used in hierarchical modeling for data arising in spatial epidemiology. Following discussion of basic statistical and epidemiological concepts relevant to small‐area health studies, the paper reviews the different approaches to model formulation, parameter estimation, and also software resources ...
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Statistical Methods in Spatial Epidemiology
2018Most studies evaluating relationships between neighborhood characteristics and health neglect to examine and account for the spatial dependency across neighborhoods, that is, how neighboring areas are related to each other, although the possible presence of spatial effects (e.g., spatial dependency, spatial heterogeneity) can potentially influence the ...
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Spatial models in epidemiological applications
2003Abstract Spatial models have been at the heart of the early development of Bayesian hierarchical models and associated computation techniques. In varied fields such as image analysis, agriculture, ecology, and disease mapping, standard analysis techniques proved inadequate.
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[Bayesian statistics in spatial epidemiology].
Zhejiang da xue xue bao. Yi xue ban = Journal of Zhejiang University. Medical sciences, 2010Through the multi-stage hierarchical Bayesian model and Markov Chain Monte Carlo methods, Bayesian statistics can be used in dependent spatial data analysis, including disease mapping in small areas, disease clustering, and geographical correlation studies.
Wei-jun, Zheng, Xiu-yang, Li, Kun, Chen
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Spatial Heterogeneity in Epidemiological Models
2015This chapter focuses on spatial heterogeneity of epidemic models. In the first part of this chapter, metapopulation epidemic modeling is discussed. Models with Lagrangian and Eulerian movement patterns are introduced and studied. In the second part of this chapter, spatial heterogeneity is modeled with diffusion.
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