on the epidemiology of cancer, there are no completely unrelated or independent entities and events. In Japan an old proverb says that when the wind blows, a cooper will flourish. Japan is famous for her windy days. It was believed in olden times that when the wind blew, blind persons increased in number. The blind used to earn their living by playing a sort of string instrument that was made o...

BACKGROUND A retrospective case-control study was undertaken to examine the spatial risk factors for human brucellosis in Kampala, Uganda. METHODS Information on age, sex and month of diagnosis was derived from records from plate agglutination tests undertaken at Mulago Hospital, Kampala. Information on Parishes (LC2s) where patients reside was sourced from the outpatient registration book. I...

Medical geography and epidemiology share the common goal of understanding disease processes and improving methods of health interventions. While they share a common history, the fields have diverged and developed different, often complementary, approaches to the same types of problems. Medical geography differs from epidemiology in its underlying focus on applying the concepts and methods of ge...

conclusions it is proposed that the needed research be conducted at national and regional levels in coordination and cooperation with international organizations active in the field of traffic crashes in various parts of the world, especially in asian, african and latin american developing countries, where a greater proportion of pedestrian traffic crashes occur. results a review of the studies...

In some environmental epidemiology studies, the locations of exposure data and health assessments do not coincide. To overcome the misalignment problem, the health effects analysis often use the predictions from an exposure model, which contains some measurement error as predicted value but is unequal with the true exposures. Gryparis et al. (2009) focus on the framework for spatial measurement...

An increasing amount of geo-referenced mobile phone data enables the identification of behavioral patterns, habits and movements of people. With this data, we can extract the knowledge potentially useful for many applications including the one tackled in this study - understanding spatial variation of epidemics. We explored the datasets collected by a cell phone service provider and linked them...

The principles behind the interface to continuous domain spatial models in the RINLA software package for R are described. The Integrated Nested Laplace Approximation (INLA) approach proposed by Rue, Martino, and Chopin (2009) is a computationally effective alternative to MCMC for Bayesian inference. INLA is designed for latent Gaussian models, a very wide and flexible class of models ranging f...

A spatial time series dataset [18, 19] is a collection of time series [3], each referencing a location in a common spatial framework [17]. Finding highly correlated time series from spatial time series datasets collected by satellites, sensor nets, retailers, mobile device servers, and medical instruments on a daily basis is important for many application domains such as epidemiology, ecology, ...

This retrospective population-based study was conducted to analyze spatial patterns of tuberculosis (TB) incidence in Si Sa Ket province, Thailand. TB notification data from 2004 to 2008 collected from TB clinics throughout the province was used along with population data to reveal a descriptive epidemiology of TB incidences. Global clustering patterns of the occurrence were assessed by using g...