6533b86dfe1ef96bd12cab6d
RESEARCH PRODUCT
Spatio-Temporal Analysis of Suicide-Related Emergency Calls
Marisol LilaMiriam MarcoEnrique GraciaDavid ConesaAntonio López-quílezsubject
Injury controlAccident preventionComputer scienceHealth Toxicology and Mutagenesisdisease mappingPoison controllcsh:Medicinebayesian modelingBayesian inference01 natural sciencesSuicide preventionArticle010104 statistics & probability03 medical and health sciences0302 clinical medicineSpatio-Temporal AnalysismedicineHumans030212 general & internal medicine0101 mathematicspolice calls-for-serviceseasonalitySpatio-Temporal Analysislcsh:RPublic Health Environmental and Occupational HealthEmergency Medical Dispatchmedicine.diseasesocial epidemiologybayesian modeling; disease mapping; police calls-for-service; seasonality; social epidemiologySuicideAutoregressive modelMedical emergencySeasonsCartographydescription
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.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2017-07-06 | International Journal of Environmental Research and Public Health |