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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2017
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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. |
format | Online Article Text |
id | pubmed-5551173 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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