ATTACH™ & VID-KIDS: Rapid User-Informed Web and Mobile Interface Development, Adaptation and Pilot Testing to Support Children’s Mental Health and Development.
Predicting the risk of developing mental and substance use disorders due to COVID-19: machine learning applied to health service utilization data to facilitate access to effective treatments.
Tracking the Prevalence and Incidence of Modifiable Suicide Risk Factors During the COVID‑19 Pandemic to Inform Targeted Suicide Prevention in British Columbia
Reducing Risk and Promoting Health Among Vulnerable Teens and their Families in the Context of COVID-19: A Multisite National and International Implementation and Evaluation Study