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• W2730894723 endingPage "735" @default.
• W2730894723 startingPage "735" @default.
• W2730894723 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." @default.
• W2730894723 created "2017-07-14" @default.
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• W2730894723 date "2017-07-06" @default.
• W2730894723 modified "2023-09-29" @default.
• W2730894723 title "Spatio-Temporal Analysis of Suicide-Related Emergency Calls" @default.
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• W2730894723 doi "https://doi.org/10.3390/ijerph14070735" @default.
• W2730894723 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/5551173" @default.
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• W2730894723 hasPublicationYear "2017" @default.
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