Spatial and space-time clusters of suicides in the contiguous USA (2000–2019)

Amin, Raid; Guttmann, Rodney P.; Rivera-Muñiz, Bradly; Holley, Matthew; Uher, Misty

doi:10.1016/j.annepidem.2022.07.005

Cited by 6 publications

(5 citation statements)

References 15 publications

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“…My suggestion would be in line with the authors’ to incorporate socio-economic and cultural risk factors in spatiotemporal analysis for suicide. Other similar international studies such as in USA, 9 Brazil, 10 and Iran 11 successfully demonstrated the association of high-risk areas with other risk factors such as opioid use, marital status, race, and gender. Authors of the current study could center their effort in examining the risk factors in new and persistent hotspots of suicide, and thereby adjoin relevant specific suggestions to the policy makers to assist in attenuating the suicidal risk globally, in conjunction with the spatiotemporal patterns of suicide.…”

mentioning

confidence: 73%

Commentary: Spatiotemporal Patterns of Suicide in Korea from 2009 to 2019 Using Geographic Information Systems

Ken¹,

Guan²

2023

ALPHA PSYCHIATRY

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mentioning

confidence: 73%

Commentary: Spatiotemporal Patterns of Suicide in Korea from 2009 to 2019 Using Geographic Information Systems

Ken¹,

Guan²

2023

ALPHA PSYCHIATRY

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“…Although previous papers have studied the spatial and temporal determinants of suicide, they have mainly relied on mortality data and suicide-related health records (Amin et al, 2022;Congdon, 2011;Fontanella et al, 2018;Helbich et al, 2017;Jiang et al, 2021;Khademi et al, 2022;Qian et al, 2023). However, other valuable sources, such as emergency calls, have received limited attention in the research (Lersch, 2020b;Marco et al, 2018;Marco et al, 2017).…”

Section: The Present Studymentioning

confidence: 99%

The Spatio-Temporal Distribution of Suicide-related Emergency Calls in a European City: Age and Gender Patterns, and Neighborhood Influences

Marco,

López-Quílez,

Sánchez-Sáez

et al. 2024

Psychosocial Intervention

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“…Spatial scan statistics are amongst the most widely used and understood methods for the detection of geographic clusters in disease surveillance [21]. Using these methods to examine the spatial distribution of different substancerelated outcomes in different populations in the entire United States, studies have identified and quantified clusters in regions where drug-related outcomes occurred at higher than expected rates/proportions [22][23][24]. These studies were largely in agreement with each other and offer a comprehensive understanding of clustering and the distribution of disease across entire populations.…”

Section: Introductionmentioning

confidence: 99%

Spatiotemporal epidemiology of substance-related accidental acute toxicity deaths in Canada from 2016 to 2017

Howard-Azzeh,

Wasfi,

Kakkar

et al. 2024

BMC Public Health

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Objectives In Canada, substance-related accidental acute toxicity deaths (AATDs) continue to rise at the national and sub-national levels. However, it is unknown if, where, when, and to what degree AATDs cluster in space, time, and space–time across the country. The objectives of this study were to 1) assess for clusters of AATDs that occurred in Canada during 2016 and 2017 at the national and provincial/territorial (P/T) levels, and 2) examine the substance types detected in AATD cases within each cluster. Methods Two years of person-level data on AATDs were abstracted from coroner and medical examiner files using a standardized data collection tool, including the decedent's postal code and municipality information on the places of residence, acute toxicity (AT) event, and death, and the substances detected in the death. Data were combined with Canadian census information to create choropleth maps depicting AATD rates by census division. Spatial scan statistics were used to build Poisson models to identify clusters of high rates (p < 0.05) of AATDs at the national and P/T levels in space, time, and space–time over the study period. AATD cases within clusters were further examined for substance types most present in each cluster. Results Eight clusters in five regions of Canada at the national level and 24 clusters in 15 regions at the P/T level were identified, highlighting where AATDs occurred at far higher rates than the rest of the country. The risk ratios of identified clusters ranged from 1.28 to 9.62. Substances detected in clusters varied by region and time, however, opioids, stimulants, and alcohol were typically the most commonly detected substances within clusters. Conclusion Our findings are the first in Canada to reveal the geographic disparities in AATDs at national and P/T levels using spatial scan statistics. Rates associated with substance types within each cluster highlight which substance types were most detected in the identified regions. Findings may be used to guide intervention/program planning and provide a picture of the 2016 and 2017 context that can be used for comparisons of the geographic distribution of AATDs and substances with different time periods.

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Spatial and space-time clusters of suicides in the contiguous USA (2000–2019)

Cited by 6 publications

References 15 publications

Commentary: Spatiotemporal Patterns of Suicide in Korea from 2009 to 2019 Using Geographic Information Systems

Commentary: Spatiotemporal Patterns of Suicide in Korea from 2009 to 2019 Using Geographic Information Systems

The Spatio-Temporal Distribution of Suicide-related Emergency Calls in a European City: Age and Gender Patterns, and Neighborhood Influences

Spatiotemporal epidemiology of substance-related accidental acute toxicity deaths in Canada from 2016 to 2017

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