Testing the informativeness and analytic capacity a samplefree synthetic data to inform mental health and addictions policy makers in Canada

Western Canada is facing an opioid related health epidemic. Canadians are dying and experiencing mental health problems characterised by chronic drug and alcohol use. The overdose, misuse, and abuse of drugs/opioids leading to deaths is happening in the backdrop of significant medical, social, psychological, and economic causes. Income inequality and ill-balanced labour forced participation are factors which could be reasons behind this crisis. Health authorities the lack data which is needed to find root causes of the problem and to formulate new health policies. The aim of this work is to generate the synthetic data using existing data as a reference. The goal of this research is to broaden information-sharing and support public health stakeholders and policymakers to find ways that can be adopted to uproot this lethal epidemic.

Faculty Supervisor:

Piper Jackson

Student:

Partner:

Approach Analytics Inc

Discipline:

Computer science

Sector:

Information and cultural industries; Professional, scientific and technical services

University:

Thompson Rivers University

Program: