Integrating AI with disease transmission dynamics models for informed prevention and control of outbreaks in indoor and mass gathering settings
Project overview: Developing novel computational platforms that integrate machine learning, computational fluid dynamics within agent-based simulations, and disease transmission modelling, with epidemiology to support public health practice and decision making to control and prevent viral infections in the indoor environments and special settings.
Advanced mathematical technologies for respiratory infection risk assessment and pharmaceutical intervention scenario analysis
Project overview: Providing evidence-based and data-driven strategic direction and enhanced research capacity around respiratory infectious diseases relevant to vaccine product pipeline and optimal use of vaccinations in Canada and globally. The project utilizes mathematical modelling, neural network-based data analytics, and health economics for rapid outbreak response, and for prospective and retrospective evaluation of control and prevention programs.