Seyed Moghadas’ research develops evidence-based decision models for protecting vulnerable Canadian populations from emerging infectious diseases. So far, it has yielded modelling software and a smartphone game system. http://abm-lab.yorku.ca/index.html
This project will develop a practical agent-based modelling-based decision support tool for infectious disease spread, which could ultimately serve as evidence-based decision support for public health. This project has two major modelling and simulation goals; one aim is to investigate pharmaceutical interventions and the other is to investigate social distancing public health interventions in remote northern communities. Compute Canada infrastructure is used to perform extensive simulations that would otherwise require years of compute time on desktop computers. Our work is increasingly recognized by public health in Canada, as well as being cited in a bulletin by the Centers for Disease Control in the U.S. The impact of infectious disease, for example, the SARS outbreak in 2003, can cost Canada billions of dollars in economic damage as well as impact the lives of individual Canadians. This research has the capability to model public-health interventions in a more explicit and more closely analogous manner to actual embodiments of public health policy than with previous approaches. This research would not be possible without Compute Canada infrastructure because we would not be able to perform simulations in time to have the most impact in informing public health policy in Canada.