ArticlePloS one2013
Application of scan statistics to detect suicide clusters in Australia.
Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.
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Who cites it
22 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Quantitative Methods to Detect Suicide and Self-Harm Clusters: A Systematic Review.International journal of environmental research and public health · 2022Pooled it
- Geospatial clustering of suicide, mental health, sociodemographic and workforce features in Australia.Social psychiatry and psychiatric epidemiology · 2026Article
- Australian Youth Self-Harm Atlas: spatial modelling and mapping of self-harm prevalence and related risk and protective factors to inform youth suicide prevention strategies.Epidemiology and psychiatric sciences · 2024Article
- An exploratory study on spatiotemporal clustering of suicide in Korean adolescents.Child and adolescent psychiatry and mental health · 2024Article
- Background and Rationale - CDC Guidance for Communities Assessing, Investigating, and Responding to Suicide Clusters, United States, 2024.MMWR supplements · 2024Article
- Using SaTScan to identify and map nightlife areas in Philadelphia, PA.Journal of maps · 2024Article
- Association between mental health workforce supply and clusters of high and low rates of youth suicide: An Australian study using suicide mortality data from 2016 to 2020.The Australian and New Zealand journal of psychiatry · 2023Article
- Spatial-temporal analysis of suicide clusters for suicide prevention in Hong Kong: a territory-wide study using 2014-2018 Hong Kong Coroner's Court reports.The Lancet regional health. Western Pacific · 2023Article
- Space-time self-harm and suicide clusters in two cities in Taiwan.Epidemiology and psychiatric sciences · 2023Article
- A Broad Safety Assessment of the Recombinant Herpes Zoster Vaccine.American journal of epidemiology · 2022Article
- The development and validation of a dashboard prototype for real-time suicide mortality data.Frontiers in digital health · 2022Article
- Spatial and spatio-temporal analysis of malaria cases in Zimbabwe.Infectious diseases of poverty · 2020Article
- Understanding the characteristics and mechanisms underlying suicide clusters in Australian youth: a comparison of cluster detection methods.Epidemiology and psychiatric sciences · 2020Article
- Epidemiological and aetiological characteristics of hand, foot, and mouth disease in Sichuan Province, China, 2011-2017.Scientific reports · 2020Article
- Spatiotemporal clustering of suicides in the US from 1999 to 2016: a spatial epidemiological approach.Social psychiatry and psychiatric epidemiology · 2019Article
- Detection of Spatiotemporal Prescription Opioid Hot Spots With Network Scan Statistics: Multistate Analysis.JMIR public health and surveillance · 2019Article
- Spatial overlaps in the distribution of HIV/AIDS and malaria in Zimbabwe.BMC infectious diseases · 2018Article
- Clusters of suicides and suicide attempts: detection, proximity and correlates.Epidemiology and psychiatric sciences · 2017Article
- Spatial suicide clusters in Australia between 2010 and 2012: a comparison of cluster and non-cluster among young people and adults.BMC psychiatry · 2016Article
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5 authors.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundSuicide clustering occurs when multiple suicide incidents take place in a small area or/and within a short period of time. In spite of the multi-national research attention and particular efforts in preparing guidelines for tackling suicide clusters, the broader picture of epidemiology of suicide clustering remains unclear. This study aimed to develop techniques in using scan statistics to detect clusters, with the detection of suicide clusters in Australia as example. METHODS AND
findingsScan statistics was applied to detect clusters among suicides occurring between 2004 and 2008. Manipulation of parameter settings and change of area for scan statistics were performed to remedy shortcomings in existing methods. In total, 243 suicides out of 10,176 (2.4%) were identified as belonging to 15 suicide clusters. These clusters were mainly located in the Northern Territory, the northern part of Western Australia, and the northern part of Queensland. Among the 15 clusters, 4 (26.7%) were detected by both national and state cluster detections, 8 (53.3%) were only detected by the state cluster detection, and 3 (20%) were only detected by the national cluster detection.
conclusionsThese findings illustrate that the majority of spatial-temporal clusters of suicide were located in the inland northern areas, with socio-economic deprivation and higher proportions of indigenous people. Discrepancies between national and state/territory cluster detection by scan statistics were due to the contrast of the underlying suicide rates across states/territories. Performing both small-area and large-area analyses, and applying multiple parameter settings may yield the maximum benefits for exploring clusters.
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