Making the most of spatial information in health: a tutorial in Bayesian disease mapping for areal data
Disease maps are effective tools for explaining and predicting patterns of disease outcomes
across geographical space, identifying areas of potentially elevated risk, and formulating …
across geographical space, identifying areas of potentially elevated risk, and formulating …
An overview of geospatial methods used in unintentional injury epidemiology
Background Injuries are a leading cause of death and disability around the world. Injury
incidence is often associated with socio-economic and physical environmental factors. The …
incidence is often associated with socio-economic and physical environmental factors. The …
Spatial analysis of the association of alcohol outlets and alcohol-related pedestrian/bicyclist injuries in New York City
Background Pedestrian and bicyclist injury is an important public health issue. The retail
environment, particularly the presence of alcohol outlets, may contribute the the risk of …
environment, particularly the presence of alcohol outlets, may contribute the the risk of …
[图书][B] GIS in public health practice
M Craglia, R Maheswaran - 2016 - taylorfrancis.com
Significant advances in the evaluation and use of geographic information have had a major
effect on key elements of public health. Strides in mapping technology as well as the …
effect on key elements of public health. Strides in mapping technology as well as the …
A Gaussian random field model for similarity-based smoothing in Bayesian disease mapping
Conditionally specified Gaussian Markov random field (GMRF) models with adjacency-
based neighbourhood weight matrix, commonly known as neighbourhood-based GMRF …
based neighbourhood weight matrix, commonly known as neighbourhood-based GMRF …
Spatial patterns of ischemic heart disease in Shenzhen, China: A Bayesian multi-disease modelling approach to inform health planning policies
Incorporating the information of hypertension, this paper applies Bayesian multi-disease
analysis to model the spatial patterns of Ischemic Heart Disease (IHD) risks. Patterns of …
analysis to model the spatial patterns of Ischemic Heart Disease (IHD) risks. Patterns of …
Geographic variation in condom availability and accessibility
E Shacham, EJ Nelson, L Schulte, M Bloomfield… - AIDS and Behavior, 2016 - Springer
Identifying predictors that contribute to geographic disparities in sexually transmitted
infections (STIs) is necessary in order to reduce disparities. This study assesses the spatial …
infections (STIs) is necessary in order to reduce disparities. This study assesses the spatial …
Spatial autocorrelation of disease prevalence in South Korea using 2012 Community Health Survey data
WS Oh, CH Nguyen, SM Kim, JW Sohn… - Journal of the Korean …, 2016 - koreascience.kr
As a basic research to investigate geographical variations of diseases, this study analyzes
and compares spatial patterns of 24 different diseases in South Korea using prevalence rate …
and compares spatial patterns of 24 different diseases in South Korea using prevalence rate …
Spatial Bayesian surveillance for small area case event data
C Rotejanaprasert, A Lawson… - … methods in medical …, 2016 - journals.sagepub.com
There has been little development of surveillance procedures for epidemiological data with
fine spatial resolution such as case events at residential address locations. This is often due …
fine spatial resolution such as case events at residential address locations. This is often due …
The bivariate combined model for spatial data analysis
To describe the spatial distribution of diseases, a number of methods have been proposed
to model relative risks within areas. Most models use Bayesian hierarchical methods, in …
to model relative risks within areas. Most models use Bayesian hierarchical methods, in …