Real-time suicide surveillance: Comparison of international surveillance systems and recommended best practice

Objective: Some countries have implemented systems to monitor suicides in real-time. These systems differ because of the various ways in which suicides are identified and recorded. The main objective of this study was to conduct an international comparison of major real-time suicide mortality surveillance systems to identify joint strengths, challenges, and differences, and thereby inform best-practice […]

Impact of the COVID-19 pandemic on self-harm and self-harm/suicide ideation: Population-wide data linkage study and time series analysis

Background The COVID-19 pandemic and associated lockdowns were predicted to have a major impact on suicidal behaviour, including self-harm. However, current studies have produced contradictory findings with limited trend data. Aims Nine years of linked individual-level administrative data were utilised to examine changes in hospital-presenting self-harm and ideation (thoughts of self-harm or suicide) before and […]

Association rule mining of real-world data: Uncovering links between race, glycemic control, lipid profiles, and suicide attempts in individuals with diabetes

Aims: The increased risk of suicide among individuals with diabetes is a significant public health concern. However, few studies have focused on understanding the relationship between suicide attempts and diabetes. Association rule mining (ARM) is a data  mining technique to discover a set of high-risk factors of a given disease. Therefore, this study aimed to […]

Analyzing trends in suicide attempts among the pediatric population in the United States: A study using CDC’s Youth Risk Behavior Surveillance System (YRBSS) database

Background: Suicide is a significant public health concern among the pediatric population in the United States. This study aims to comprehensively analyze suicide attempts among adolescents using data from the Youth Risk Behavior Surveillance System (YRBSS) maintained by the Centers for Disease Control and Prevention (CDC). Methods: The pediatric population of grades 9-12 students (13-17 […]

Five healthcare trajectories in the year before suicide andwhat they tell us about opportunities for prevention: A population level case series study

Background Suicide prevention requires a shift from relying on an at-risk individual to engage with the healthcare system. Understanding patterns of healthcare engagement by people who have died by suicide may provide alternative directions for suicide prevention. Methods This is a population-based case-series study of all suicide decedents (n = 3895) in New South Wales (NSW), Australia […]

Big data on the prevalence of injury deaths among 187 488 elderly Chinese in the past 20 years (2000-2020): A systematic review and meta-analysis

Background: This study systematically reviewed injury death and causes in the elderly population in China from 2000 to 2020, to prevent or reduce the occurrence of injuries and death. Methods: The CNKI, VIP, Wan Fang, MEDLINE, Embase, SinoMed, and Web of Science databases were searched to collect epidemiological characteristics of injury death among elderly over 60 years […]

Toward automatic risk assessment to support suicide prevention

Background: Suicide has been considered an important public health issue for years and is one of the main causes of death worldwide. Despite prevention strategies being applied, the rate of suicide has not changed substantially over the past decades. Suicide risk has proven extremely difficult to assess for medical specialists, and traditional methodologies deployed have been […]

A systems science approach to identifying data gaps in national data sources on adolescent suicidal ideation and suicide attempt in the United States

Background Suicide is currently the second leading cause of death among adolescents ages 10–14, and third leading cause of death among adolescents ages 15–19 in the United States (U.S). Although we have numerous U.S. based surveillance systems and survey data sources, the coverage offered by these data with regard to the complexity of youth suicide […]

Preparatory studies to a population-based survey of suicide-bereaved parents in Sweden

Background: There is a need for evidence-based guidelines on how professionals should act following a suicide. In an effort to provide empiric knowledge, we designed a nationwide population-based study including suicide-bereaved parents. Aim: To describe the process from creating hypotheses through interviews to the development of a population-based questionnaire. Method: We used interviews, qualitative analysis and various means […]

A nation-wide evidence-based data analysis of repeated suicide attempts

Background: Taiwan is a high-risk area for suicide. Repeated suicide attempts are an important factor of suicide mortality. Yet there has been little research on the factors associated with repeated suicidal behavior in Taiwan. Aims: To explore the characteristics of repeated suicide attempts. Methods: Data were obtained from the National Health Insurance Research Database for 2005 to 2008. […]

Geospatial mapping of suicide-related tweets and sentiments among Malaysians during the COVID-19 pandemic

The government enacted the Movement Control Order (MCO) to curb the spread of the COVID-19 pandemic in Malaysia, restricting movement and shutting down several commercial enterprises around the nation. The crisis, which lasted over two years and featured a few MCOs, had an impact on Malaysians’ mental health. This study aimed to understand the context […]

A systems science approach to identifying data gaps in national data sources on adolescent suicidal ideation and suicide attempt in the United States

Background Suicide is currently the second leading cause of death among adolescents ages 10–14, and third leading cause of death among adolescents ages 15–19 in the United States (U.S). Although we have numerous U.S. based surveillance systems and survey data sources, the coverage offered by these data with regard to the complexity of youth suicide […]

Review on data mining and data analysis method for adolescent suicide problem

This paper suggested that both positive and negative family factors can impact adolescent suicide rates. Supportive relationships with parents, siblings, and other family members can provide a sense of belonging, connection, and  emotional support that can help to protect adolescents from suicidal thoughts and behaviors. Studies have found that adolescents who are exposed to these […]

Understanding suicide over the life course using data science tools within a triangulation framework

Suicide and suicidal behaviors are important global health concerns. Preventing suicide requires a nuanced understanding of the nature of suicide risk, both acutely during periods of crisis and broader variation over the lifespan. However, current knowledge of the sources of variation in suicide risk is limited due to methodological and conceptual challenges. New methodological approaches […]

Collaborative methods foster better data: Insights from suicide data linkage project in North Carolina

The linking of surveillance data sets has increasingly become an essential public health activity. We compared a traditional method in North Carolina (NC) with a newer collaborative approach when linking Hospital Discharge Data (HDD) and NC Violent Death Reporting System (NC-VDRS) data. We found the collaborative approach to be superior, enabling wider ownership combined with […]

Examining the use of police and ambulance data in suicide research: A systematic scoping review of data linkage studies

Background: Police and paramedics are often the first to respond to individuals in suicide crisis and have an important role to play in facilitating optimal care pathways. Yet, little evidence exists to inform these responses. Data linkage provides one approach to examining this knowledge gap. Aim: We identified studies that examined suicide behaviors and linked to police or […]

Implementing real-time data suicide surveillance systems

In this editorial, we would like to inspire policy makers to support the real-time monitoring of suicide. Using real-time data to understand the spatiotemporal variability of suicides will allow policy makers evaluate interventions they have invested in and enable them to intervene in a timely manner in situations when an increase in suicides in any […]

Proportion of individuals with past-year suicidal ideation who attempted suicide over the past 10 years in the United States, and the influence of age and sex

Background: In recent years, the rate of death by suicide has been increasing disproportionately among females and young adults in the United States. Presumably this trend has been mirrored by the proportion of individuals with suicidal ideation who attempted suicide. Aim: We aimed to investigate whether the proportion of individuals in the United States with suicidal ideation who […]

A call to clarify fuzzy sets

U.S. Youth Suicide Rate Increased 56% in Decade, CDC Says (Wall Street Journal, November 12, 2019; https://www.wsj.com/articles/youth-suicide-rate-rises-56-in-decade-​cdc-says-11571284861) Suicide Rates for Young Australians Highest in 10 Years (https://www.abc.net.au/news/2016-11-30/system-​for-suicide-prevention-rates-highest-10-years/8076780) Suicide Rate Rises Among Young People in England and Wales (The Guardian, September 4, 2018; https://www.the​guardian.com/society/2018/sep/04/suicide-rate-rises-​among-young-people-in-england-and-wales) Headlines such as these have dominated the consciousness of these three high-income, Westernized nations […]

Leveraging data science to enhance suicide prevention research: A literature review

Objective The purpose of this research is to identify how data science is applied in suicide prevention literature, describe the current landscape of this literature and highlight areas where data science may be useful for future injury prevention research. Design We conducted a literature review of injury prevention and data science in April 2020 and January 2021 […]

A comprehensive review of computer-aided diagnosis of major mental and neurological disorders and suicide: A biostatistical perspective on data mining

The World Health Organization (WHO) suggests that mental disorders, neurological disorders, and suicide are growing causes of morbidity. Depressive disorders, schizophrenia, bipolar disorder, Alzheimer’s disease, and other dementias account for 1.84%, 0.60%, 0.33%, and 1.00% of total Disability Adjusted Life Years (DALYs). Furthermore, suicide, the 15th leading cause of death worldwide, could be linked to […]