Related Experiment Video
Updated: Mar 24, 2026

A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data
Published on: December 9, 2015
Exploring spatial patterns of sarcoidosis mortality in Spain between 2009 and 2023
Lucia Cayuela1, Anna Michela Gaeta2, Victoria Achaval Rodríguez1
1Department of Internal Medicine, Hospital Universitario Severo Ochoa, Leganés, Spain.
Objectives:
To describe temporal trends and spatial distribution of sarcoidosis-related mortality in mainland Spain between 2009 and 2023, with a focus on sex-specific differences and high-risk clusters.
Methods:
An ecological study was conducted using mortality data from the Spanish National Statistics Institute (INE) for deaths coded as ICD-10 D86. Age-adjusted mortality rates were calculated using direct standardization to the European Standard Population 2013. Temporal trends were assessed with joinpoint regression, and spatial patterns were analyzed at the provincial level using standardized mortality ratios (SMRs), Bayesian-smoothed relative risks (RRs), and posterior probabilities via the Besag-York-Mollié model. Global and local clustering was evaluated with spatial scan statistics, Moran's I, and Local Indicators of Spatial Association (LISA).
Results:
Between 2009 and 2023, 709 sarcoidosis-related deaths were recorded (417 women, 292 men). Mortality increased significantly in men (average annual percentage change (AAPC) 4.5%, 95% CI 1.6-7.4%) but not in women (AAPC 1.0%, 95% CI -1.3-3.5%). Geographic analysis revealed persistent high-risk clusters in northwestern provinces, particularly Galicia and Castilla y León, whereas central and Mediterranean provinces exhibited lower-than-expected mortality. Sex-specific clustering patterns were evident, with women showing more widespread high-risk regions. Bayesian-smoothed relative risks and posterior probabilities corroborated these findings, indicating true excess risk rather than random variation.
Conclusions:
Sarcoidosis mortality in mainland Spain demonstrates marked geographic heterogeneity and sex-specific patterns, with persistent high-risk clusters in the northwest. These results are suggestive of the interplay of genetic, environmental, and healthcare-related factors, providing a foundation for targeted surveillance, preventive strategies, and resource allocation.
Related Concept Videos
Prevalence and Incidence
Prevalence indicates the proportion of individuals in a population who have a specific disease or health...
Infectious Diseases and Their Occurrence
Bias in Epidemiological Studies
Causality in Epidemiology
Actuarial Approach
Consider the example of a high-risk surgical procedure with significant early-stage mortality. A two-year clinical study is conducted,...
Statistical Methods for Analyzing Epidemiological Data

