The phenomenon of suicide clustering is poorly understood. One leading theory is that the incidence of suicide leads to perceptions that it is a normative behaviour among peers. Shifts in normative perceptions then correspond with increased risk across a social group or community.
Using administrative data (a database called the Integrated Data Infrastructure), we can investigate causes of death and understand how risk changes over time for a community.
This project will involve careful spatiotemporal modelling and data engineering using R and SQL.
Supervisors
Primary Supervisor: Taylor Winter
Key qualifications and skills
R, SQL
Does the project come with funding
No - Student must be self-funded
Final date for receiving applications
Ongoing
How to apply
By email to the primary supervisor
Keywords
Suicide; spatiotemporal modelling; gis; epidemiology; social psychology
