This paper is in the following e-collection/theme issue:

General Articles on Innovation and Technology in Public Health (82) Depression and Mood Disorders; Suicide Prevention (1532) Intentional Self-Harm (113) Anxiety and Stress Disorders (1201) Mental Health Issues in Adolescence (539) Mental Health Surveillance and Epidemiology (77) Decision Support for Health Professionals (1359) Public (e)Health, Digital Epidemiology and Public Health Informatics (871)

Published on in Vol 10 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/52773, first published .
Predicting the Population Risk of Suicide Using Routinely Collected Health Administrative Data in Quebec, Canada: Model-Based Synthetic Estimation Study

Predicting the Population Risk of Suicide Using Routinely Collected Health Administrative Data in Quebec, Canada: Model-Based Synthetic Estimation Study

Predicting the Population Risk of Suicide Using Routinely Collected Health Administrative Data in Quebec, Canada: Model-Based Synthetic Estimation Study

Authors of this article:

JianLi Wang1 Author Orcid Image ;   Fatemeh Gholi Zadeh Kharrat2 Author Orcid Image ;   Geneviève Gariépy3 Author Orcid Image ;   Christian Gagné2 Author Orcid Image ;   Jean-François Pelletier4 Author Orcid Image ;   Victoria Kubuta Massamba5 Author Orcid Image ;   Pascale Lévesque5 Author Orcid Image ;   Mada Mohammed1 Author Orcid Image ;   Alain Lesage4 Author Orcid Image
Article Authors Cited by (1) Tweetations Metrics

Journals

  1. Petit P, Vuillerme N. Leveraging Administrative Health Databases to Address Health Challenges in Farming Populations: Scoping Review and Bibliometric Analysis (1975-2024). JMIR Public Health and Surveillance 2025;11:e62939 View