ArticleScientific reports2018
What calls for service tell us about suicide: A 7-year spatio-temporal analysis of neighborhood correlates of suicide-related calls.
Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.
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Who cites it
13 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The application of spatial analysis to understanding the association between area-level socio-economic factors and suicide: a systematic review.Social psychiatry and psychiatric epidemiology · 2023Pooled it
- Geospatial clustering of suicide, mental health, sociodemographic and workforce features in Australia.Social psychiatry and psychiatric epidemiology · 2026Article
- Assessing the impact of social cohesion on suicide-related emergency calls: a spatial modeling approach.Social psychiatry and psychiatric epidemiology · 2026Article
- 911 calls for service and community context: associations between community safety needs and neighborhood environment.BMC public health · 2025Article
- Temporal trends in suicide related emergency calls by age group and gender from 2014 to 2023.Scientific reports · 2025Article
- The spatial overlap between risk of intimate partner violence against women and suicide-related emergency calls.European journal of public health · 2025Article
- Article
- Assessing access: Texting hotline app provides mental health crisis care for economically deprived youth.Social science & medicine (1982) · 2024Article
- The Spatio-Temporal Distribution of Suicide-related Emergency Calls in a European City: Age and Gender Patterns, and Neighborhood Influences.Psychosocial intervention · 2024Article
- Material hardship and suicidal behavior: Associations among parents and non-parents.Suicide & life-threatening behavior · 2021Article
- Opioid prescription rates and risk for substantiated child abuse and neglect: A Bayesian spatiotemporal analysis.Drug and alcohol dependence · 2019Article
- Connecting Child Maltreatment Risk With Crime and Neighborhood Disadvantage Across Time and Place: A Bayesian Spatiotemporal Analysis.Child maltreatment · 2019Article
- County-level socioeconomic and crime risk factors for substantiated child abuse and neglect.Child abuse & neglect · 2019Article
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4 authors.
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Abstract
Previous research has shown that neighborhood-level variables such as social deprivation, social fragmentation or rurality are related to suicide risk, but most of these studies have been conducted in the U.S. or northern European countries. The aim of this study was to analyze the spatio-temporal distribution of suicide in a southern European city (Valencia, Spain), and determine whether this distribution was related to a set of neighborhood-level characteristics. We used suicide-related calls for service as an indicator of suicide cases (n = 6,537), and analyzed the relationship of the outcome variable with several neighborhood-level variables: economic status, education level, population density, residential instability, one-person households, immigrant concentration, and population aging. A Bayesian autoregressive model was used to study the spatio-temporal distribution at the census block group level for a 7-year period (2010-2016). Results showed that neighborhoods with lower levels of education and population density, and higher levels of residential instability, one-person households, and an aging population had higher levels of suicide-related calls for service. Immigrant concentration and economic status did not make a relevant contribution to the model. These results could help to develop better-targeted community-level suicide prevention strategies.
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