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

Fuente: arXiv
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Autori principali: Escobar-Hernández, P., López-Quílez, A., Palmí-Perales, F., Marco, M.
Natura: Preprint
Pubblicazione: 2024
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author Escobar-Hernández, P.
López-Quílez, A.
Palmí-Perales, F.
Marco, M.
author_facet Escobar-Hernández, P.
López-Quílez, A.
Palmí-Perales, F.
Marco, M.
contents 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).
format Preprint
id arxiv_https___arxiv_org_abs_2410_21227
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Spatial Risk Patterns-ANOVA: Multivariate Analysis Of Suicide-Related Emergency Calls
Escobar-Hernández, P.
López-Quílez, A.
Palmí-Perales, F.
Marco, M.
Applications
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).
title Spatial Risk Patterns-ANOVA: Multivariate Analysis Of Suicide-Related Emergency Calls
topic Applications
url https://arxiv.org/abs/2410.21227