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Dynamic Simulation Models of Suicide and Suicide-Related Behaviors: Systematic Review
Genevieve Gariepy1, Rifat Zahan2, Nathaniel D Osgood2,3
1Centre for Surveillance and Applied Research, Public Health Agency of Canada, Ottawa, ON, Canada.
JMIR Public Health and Surveillance
|December 2, 2024
Summary
Dynamic simulation models offer a powerful approach to understanding and preventing suicide. This review highlights their growing utility in analyzing complex interventions and informing public health strategies for suicide prevention.
Area of Science:
- Public Health
- Computational Epidemiology
- Health Systems Modeling
Background:
- Suicide is a global public health crisis, claiming over 700,000 lives annually and disproportionately affecting young adults.
- Traditional research methods struggle to capture the intricate interplay of factors contributing to suicide.
- Dynamic simulation modeling is increasingly recognized for its potential in informing suicide prevention strategies.
Conclusions:
- Dynamic modeling of suicide is an emerging and rapidly expanding field, adaptable to diverse research questions and contexts.
- While reporting quality is generally adequate, transparency and reproducibility require improvement in some studies.
- Dynamic modeling holds significant potential as a decision-support tool for understanding and mitigating suicide and related behaviors.
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