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Int. J. Environ. Res. Public Health 2017, 14(7), 735; doi:10.3390/ijerph14070735

Spatio-Temporal Analysis of Suicide-Related Emergency Calls

1
Department of Social Psychology, University of Valencia, Avda. Blasco Ibáñez, 21, 46010 Valencia, Spain
2
Department of Statistics and Operations Research, University of Valencia, Dr. Moliner, 50, 46100 Burjassot, Spain
*
Author to whom correspondence should be addressed.
Received: 31 May 2017 / Revised: 28 June 2017 / Accepted: 30 June 2017 / Published: 6 July 2017
(This article belongs to the Special Issue Spatial Modelling for Public Health Research)
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Abstract

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. View Full-Text
Keywords: bayesian modeling; disease mapping; police calls-for-service; seasonality; social epidemiology bayesian modeling; disease mapping; police calls-for-service; seasonality; social epidemiology
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Marco, M.; López-Quílez, A.; Conesa, D.; Gracia, E.; Lila, M. Spatio-Temporal Analysis of Suicide-Related Emergency Calls. Int. J. Environ. Res. Public Health 2017, 14, 735.

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