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Maps of epidemiological rates: a Bayesian approach

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TLDR
New statistical methods recently developed for the analysis of maps of disease rates when the geographic units have small populations at risk adopt the Bayesian approach and use intensive computational methods for estimating risk in each area.
Abstract
This article presents statistical methods recently developed for the analysis of maps of disease rates when the geographic units have small populations at risk. They adopt the Bayesian approach and use intensive computational methods for estimating risk in each area. The objective of the methods is to separate the variability of rates due to differences between regions from the background risk due to pure random fluctuation. Risk estimates have a total mean quadratic error smaller than usual estimates. We apply these new methods to estimate infant mortality risk in the municipalities of the State of Minas Gerais in 1994.

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Mortality and Case Fatality Due to Visceral Leishmaniasis in Brazil: A Nationwide Analysis of Epidemiology, Trends and Spatial Patterns

TL;DR: Despite ongoing control strategies, mortality related to VL in Brazil is increasing, and surveillance and control measures should be prioritized in high-risk clusters, with a major cluster of high mortality encompassing a wide geographic range in North and Northeast Brazil.
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[Homicide clusters and drug traffic in Belo Horizonte, Minas Gerais State, Brazil from 1995 to 1999].

TL;DR: The authors identify clusters of high mortality risk and relate them to areas with drug traffic and associated violence in Belo Horizonte according to the Minas Gerais Military Police records from 1995 to 1999.
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Relative risk of visceral leishmaniasis in Brazil: a spatial analysis in urban area.

TL;DR: The spatial analysis used in this study is useful for the identification of small-areas according to risk of human VL and presents operational applicability in control and surveillance program in an urban environment with an unequal spatial distribution of the disease.
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Spatial patterns of pulmonary tuberculosis incidence and their relationship to socio-economic status in Vitoria, Brazil

TL;DR: Investigating spatial patterns of the incidence of pulmonary tuberculosis and its relationship with socio-economic status in Vitoria, Espirito Santo, Brazil will help TB control programs to allocate TB resources to those populations most at risk of increasing TB rates and to target areas where TB control efforts need to be concentrated.
References
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Book

Statistics for spatial data

TL;DR: In this paper, the authors present a survey of statistics for spatial data in the field of geostatistics, including spatial point patterns and point patterns modeling objects, using Lattice Data and spatial models on lattices.
Book

Theory of point estimation

TL;DR: In this paper, the authors present an approach for estimating the average risk of a risk-optimal risk maximization algorithm for a set of risk-maximization objectives, including maximalaxity and admissibility.
Journal ArticleDOI

Bayesian image restoration, with two applications in spatial statistics

TL;DR: There has been much recent interest in Bayesian image analysis, including such topics as removal of blur and noise, detection of object boundaries, classification of textures, and reconstruction of two- or three-dimensional scenes from noisy lower-dimensional views as mentioned in this paper.
Journal Article

Rejoinder (Bayesian image restoration,with two applications in spatial statistics)

TL;DR: The present paper argues that many problems in the analysis of spatial data can be interpreted as problems of image restoration, since the amounts of data involved allow routine use of computer intensive methods, such as the Gibbs sampler, that are not yet practicable for conventional images.