Spatial Risk Patterns-ANOVA: Multivariate Analysis Of Suicide-Related Emergency Calls

TL;DR

This paper introduces a new multivariate spatial analysis method to compare risk patterns across subgroups, demonstrated through suicide-related emergency calls in Spain.

Contribution

It presents a novel approach for comparing spatial risk patterns between populations, enhancing social epidemiology analysis.

Findings

Identified distinct spatial risk patterns for different subgroups.

Demonstrated the method using suicide emergency call data.

Provided insights into regional suicide risk variations.

Abstract

Multivariate spatial disease mapping has become a pivotal part of everyday practice in social epidemiology. Despite the existence of several specifications for the relation between different outcomes, there is still a need for a new strategy that focuses on comparing the spatial risk patterns of different subgroups of the population. This paper introduces a new approach for detecting differences in spatial risk patterns between different populations at risk, using suicide-related emergency calls to study suicide risks in the Valencian Community (Spain).