Our long-term mission is to develop an advanced avian influenza surveillance system that empowers emergency responders, epidemiologists, researchers, stakeholders, and policy makers to detect and respond to avian influenza viruses promptly, implement effective control measures, and prevent regional outbreaks. The website is intended to showcase our research in the area of avian influenza monitoring and prediction.
Through dedicated efforts, our team is committed to improving decision-making processes for monitoring and prevention of avian influenza outbreaks, effectively managing and mitigating associated risks. The collaborative work of our researchers aims to make a positive impact on public health and the future, safeguarding human and poultry populations from the impacts of avian influenza.
Our team of researchers leverages statistical modeling and data science expertise to predict and visualize the transmission of avian influenza. This collaborative endeavor involves Dr. Rozita Dara, a distinguished professor in the School of Computer Science, and her team, in conjunction with Dr. Shayan Sharif's laboratory at the Department of Pathobiology, Ontario Veterinary College. Dr. Dara's Data Management and Privacy Governance lab specializes in data analytics, focusing on big/small data analytics utilizing machine learning methods such as deep learning and data mining. Their highly collaborative projects involve subject matter experts in applied machine learning and decision support systems facilitating reliable decision-making for infectious disease modeling, precision agriculture, and food analytics.
The overarching objective is to provide valuable insights to authorities for disease prevention, response, and policymaking, with a specific emphasis on avian influenza, an area that has received less attention in online surveillance compared to human influenza. Dr. Sharif's lab, with over a decade of experience, employs systematic approaches to combat avian diseases in poultry and enhance immune responsiveness in chickens. Their current research projects concentrate on disease modeling systems focused on avian influenza virus transmission in chickens, shedding light on potential routes of its spread within poultry populations.
emaier@uoguelph.ca
Bachelor of Medical Sciences, Western University
Master of Bioinformatics, University of Guelph
abushaah@uoguelph.ca Bachelor of Computer Science, University of Guelph