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Spatio-Temporal Analysis of Suicide-Related Emergency Calls

Considerable effort has been devoted to incorporate temporal trends in disease mapping. In this line, this work describes the importance of including the effect of the seasonality in a particular setting related with suicides. In particular, the number of suicide-related emergency calls is modeled b...

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Detalles Bibliográficos
Autores principales: Marco, Miriam, López-Quílez, Antonio, Conesa, David, Gracia, Enrique, Lila, Marisol
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5551173/
https://www.ncbi.nlm.nih.gov/pubmed/28684714
http://dx.doi.org/10.3390/ijerph14070735
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author Marco, Miriam
López-Quílez, Antonio
Conesa, David
Gracia, Enrique
Lila, Marisol
author_facet Marco, Miriam
López-Quílez, Antonio
Conesa, David
Gracia, Enrique
Lila, Marisol
author_sort Marco, Miriam
collection PubMed
description Considerable effort has been devoted to incorporate temporal trends in disease mapping. In this line, this work describes the importance of including the effect of the seasonality in a particular setting related with suicides. In particular, the number of suicide-related emergency calls is modeled by means of an autoregressive approach to spatio-temporal disease mapping that allows for incorporating the possible interaction between both temporal and spatial effects. Results show the importance of including seasonality effect, as there are differences between the number of suicide-related emergency calls between the four seasons of each year.
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spelling pubmed-55511732017-08-11 Spatio-Temporal Analysis of Suicide-Related Emergency Calls Marco, Miriam López-Quílez, Antonio Conesa, David Gracia, Enrique Lila, Marisol Int J Environ Res Public Health Article Considerable effort has been devoted to incorporate temporal trends in disease mapping. In this line, this work describes the importance of including the effect of the seasonality in a particular setting related with suicides. In particular, the number of suicide-related emergency calls is modeled by means of an autoregressive approach to spatio-temporal disease mapping that allows for incorporating the possible interaction between both temporal and spatial effects. Results show the importance of including seasonality effect, as there are differences between the number of suicide-related emergency calls between the four seasons of each year. MDPI 2017-07-06 2017-07 /pmc/articles/PMC5551173/ /pubmed/28684714 http://dx.doi.org/10.3390/ijerph14070735 Text en © 2017 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Marco, Miriam
López-Quílez, Antonio
Conesa, David
Gracia, Enrique
Lila, Marisol
Spatio-Temporal Analysis of Suicide-Related Emergency Calls
title Spatio-Temporal Analysis of Suicide-Related Emergency Calls
title_full Spatio-Temporal Analysis of Suicide-Related Emergency Calls
title_fullStr Spatio-Temporal Analysis of Suicide-Related Emergency Calls
title_full_unstemmed Spatio-Temporal Analysis of Suicide-Related Emergency Calls
title_short Spatio-Temporal Analysis of Suicide-Related Emergency Calls
title_sort spatio-temporal analysis of suicide-related emergency calls
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5551173/
https://www.ncbi.nlm.nih.gov/pubmed/28684714
http://dx.doi.org/10.3390/ijerph14070735
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