Project 465801

Discourse on COVID-19 and illicit drug toxicity on social media

465801

Discourse on COVID-19 and illicit drug toxicity on social media

$54,250
Project Information
Study Type: Unclear
Research Theme: Social / Cultural / Environmental / Population Health
Institution & Funding
Principal Investigator(s): AbuRaed, Ahmed G
Supervisor(s): Janjua, Naveed Z; Carenini, Giuseppe
Institution: B.C. Centre for Disease Control (Vancouver)
CIHR Institute: Population and Public Health
Program: Health System Impact Fellowships - PostDoc Western Canada 2-year
Peer Review Committee: Fellowship : Health System Impact Fellowships Post Doctoral Fellows (IHSPR FE)
Competition Year: 2022
Term: 2 yrs 0 mth
Abstract Summary

The illicit drug overdose crisis in North America has had a profound impact on individuals, families and communities, often leading to premature loss of life and lowering of life expectancy. Since 2016, British Columbia (BC) has been experiencing an epidemic of toxic drug supply leading to a large increase in the number of drug overdose events and related deaths. Coronavirus disease 2019 (COVID-19) and measures taken to limit the transmission of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the virus that causes COVID-19, have directly and indirectly disrupted access to healthcare and social services worldwide, including harm reduction and social support services. Since the beginning of the COVID-19 pandemic, BC witnessed large increases in drug overdose related deaths, with 2021 being the deadliest year. This requires scaling up of existing interventions and introducing new, targeted interventions to address the overdose crisis. The level and type of response is also affected by the perception of the population towards health issues and debate on intervention options. The information available on social media could help decision makers understand the public discourse about opioid use and intervention options. In this project, the overall aim is to understand public perceptions and discourse related to overdose in social media using Artificial Intelligence (AI) methods and techniques to inform the overdose response.

No special research characteristics identified

This project does not include any of the advanced research characteristics tracked in our database.

Keywords
Covid-19 Equitable Ai Information Extraction Machine Learning Natural Language Processing (Nlp) Overdose Population Health Social Media Text Analytics