Citation

Marco M, López-Quílez A, Conesa D, Gracia E, Lila M. Int. J. Environ. Res. Public Health 2017; 14(7): e14070735.

Affiliation

Department of Social Psychology, University of Valencia, Avda. Blasco Ibáñez, 21, 46010 Valencia, Spain. marisol.lila@uv.es.

Copyright

(Copyright © 2017, MDPI: Multidisciplinary Digital Publishing Institute)

DOI

10.3390/ijerph14070735

PMID

28684714

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.

Language: en

Keywords

bayesian modeling; disease mapping; police calls-for-service; seasonality; social epidemiology