This paper considers the basic concepts and methods used in hierarchical modeling for data
arising in spatial epidemiology. Following discussion of basic statistical and epidemiological …

Background: Breast cancer is the most frequently diagnosed cancer in women and
estimating its relative risks and trends of incidence at the area-level is helpful for health …

Recreational fishing effort greatly fluctuates in space and time. Therefore, one of the most
relevant conceptual issues when managing recreational fishing is to understand the primary …

We outline a framework for evaluating food-and water-borne surveillance systems using
hospitalization records, and demonstrate the approach using data on salmonellosis …

Background: One of the important aspects of the epidemiologic study of SUICIDE and its
related behaviors is the identification of SUICIDE methods. This study aimed to investigate …

Among the many tools suited to detect local clusters in group-level data, Kulldorff–
Nagarwalla's spatial scan statistic gained wide popularity (Kulldorff and Nagarwalla in Stat …

Abstract Model-based geostatistics and Bayesian approaches are appropriate in the context
of Veterinary Epidemiology when point data have been collected by valid study designs. The …

The analysis of disease risk is often considered via relative risk. The comparison of relative
risk estimation methods with “true risk” scenarios has been considered on various …

Background: Road safety and traffic accidents change in time and space. Although, time
variations have always been considered the subject being focused by researchers, the effect …

Background and purpose: Due to the increasing information about illnesses and deaths,
classified map is of appropriate methods for analyzing this type of data. Standardized …