Discovery Lecture - Suicide Clusters presented by Katherine Keyes скачать в хорошем качестве

Discovery Lecture - Suicide Clusters presented by Katherine Keyes

This lecture, "Suicide Clusters: Spatial and Temporal Correlations and Their Environmental and Social Determinants in the United States," discusses suicide and the occurrence of suicides historically. This content could be sensitive to viewers. If someone you know is experiencing emotional distress, we encourage you to receive support through the 988 Suicide and Crisis Lifeline. Call or text 988 or visit 988lifeline.org. Suicide clusters, where multiple deaths occur within specific geographic areas and time periods at rates significantly higher than expected by chance, comprise an estimated 10-15 percent of suicide deaths. Clusters are becoming more concentrated and frequent across the US, resulting in suicide rates that are increasingly discordant between high and low suicide areas. They are also unequally distributed by age and birth cohort, with high-risk cohorts emerging as particularly vulnerable, and evidence is emerging that economic and social risk factors precipitate cluster formation. Prediction modeling and forecasting tools can be leveraged for early intervention, including during high-risk periods such as high-profile media reporting of suicide events. Emerging evidence is also developing to describe how internet-mediated exposure and AI-generated content may amplify traditional contagion pathways and create novel vectors for cluster formation. Taken together, the social and temporal landscape of suicide in the United States indicates that a spatial approach to suicide prevention and intervention is needed, moving beyond individual-risk factors to consider community-wide exposure and intervention. Katherine Keyes is professor of Epidemiology at Columbia University’s Mailman School of Public Health. Her research focuses on psychiatric and substance use epidemiology across the lifecourse, including cross-generational cohort effects on substance use, mental health, and injury outcomes of suicide and overdose. She is particularly focused on methodological challenges in estimating age, period, and cohort effects, as well as using mathematical models to inform public health and policy interventions. She is the author of more than 500 peer-reviewed publications, and two textbooks published by Oxford University Press. Her work is funded by the National Institute of Drug Abuse, National Institution of Alcohol Abuse and Alcoholism, National Institute of Mental Health, Centers for Disease Control and Prevention, and Columbia University.