Infodemiology, Misinformation, and COVID-19 Forecasting
Project overview · AI in public health
People on This Project
- Principal Investigator: Zahid Butt
- Lead: Abu Yousha Mohammad Abdullah
Infodemiology, Misinformation, and COVID-19 Forecasting
This project examines how government COVID-19 policies, public sentiment, and misinformation interact to shape pandemic outcomes in Canada. Using data from social media platforms together with epidemiological indicators and the Oxford COVID-19 Government Response Tracker, the study analyzes how policy stringency relates to public reactions and disease trends. The project combines natural language processing, misinformation detection, sentiment analysis, and time-series forecasting to better understand how infodemics influence public health response. The findings aim to support more effective risk communication, policy evaluation, and pandemic preparedness.