Markov chain Monte Carlo methods are used to estimate mortality rates under a Bayesian hierarchical model. Spatial correlations are introduced to examine spatial effects relative to both regional and regional changes over time by groups. A special feature of the models is the inclusion of longitudinal variables which will describe temporal trends in mortality or incidences for different populat...

D ementia due to Alzheimer's disease (AD) is becoming more frequent with the rapid growing of life expectancy and also with the continuous improvement of the clinical diagnosis 1. Neuropsychiatric symptoms are very common over the course of AD dementia, adding substantial burden for families and caregivers 2. These symptoms are usually fluctuating in intensity and are often difficult to be trea...

Markov chain Monte Carlo methods are used to estimate mortality rates under a Bayesian hierarchical model. Spatial correlations are introduced to examine spatial eeects relative to both regional and regional changes over time by groups. A special feature of the models is the inclusion of longitudinal variables which will describe temporal trends in mortality or incidences for diierent populatio...

UNLABELLED Domain mapping of disease mutations (DMDM) is a database in which each disease mutation can be displayed by its gene, protein or domain location. DMDM provides a unique domain-level view where all human coding mutations are mapped on the protein domain. To build DMDM, all human proteins were aligned to a database of conserved protein domains using a Hidden Markov Model-based sequence...

Cardiovascular magnetic resonance (CMR) is unique in its ability to noninvasively provide insights into cardiac morphology, myocardial architecture, blood flow, tissue perfusion, and function with high diagnostic accuracy and without needing ionizing radiation. In addition, CMR is also well suited to inform on the presence of subclinical disease and to unravel the complex pathophysiology of var...

In the past, and still today, people living in the developing world have been, and continue to be, repeatedly exposed to a number of endemic parasitic diseases which impose an intolerable economic, health and social burden on their societies (Stoll, 1947; Sachs and Malaney, 2002). Among the parasitic diseases, malaria due to Plasmodium falciparum inflicts the largest burden (Snow et al., 2005)....

Disease mapping is the field of spatial epidemiology interested in estimating the spatial pattern in disease risk across [Formula: see text] areal units. One aim is to identify units exhibiting elevated disease risks, so that public health interventions can be made. Bayesian hierarchical models with a spatially smooth conditional autoregressive prior are used for this purpose, but they cannot i...

Single nucleotide polymorphisms are the most important and basic form of variation in the genome, and they are responsible for genetic effects that produce susceptibility to most autoimmune diseases. The rapid development of databases containing very large numbers of single nucleotide polymorphisms, and the characterization of haplotypes and patterns of linkage disequilibrium throughout the gen...

Objective Uncertainty regarding the location of disease acquisition, as well as selective identification of cases, may bias maps of risk. We propose an extension to a distance-based mapping method (DBM) that incorporates weighted locations to adjust for these biases. We demonstrate this method by mapping potential drug-resistant tuberculosis (DRTB) transmission hotspots using programmatic data ...

Abstract Background The Advisor™ HD Grid Mapping Catheter (Abbott Technologies, Minneapolis, MN) has been recently introduced. Although the clinical use of mapping catheter is well described in adults with no congenital heart disease, there limited data on feasibility using multipolar to create voltage and activation disease. purpose this study was evaluate safety technical during ablation atri...