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COVID-19 pandemic: U of T Engineering stories

Professor Dionne Aleman’s (MIE) research uses agent-based data to simulate a pandemic outbreak in urban areas. (Photo: Clay Banks / Unsplash)

COVID-19 and the ‘what if machine’: How simulations and models help predict pandemic spread

As the global response to COVID-19 unfolds in real time, public health officials are urging unprecedented measures in order to “flatten the curve.” But how do we know which actions are likely to slow the spread, and by how much? The answer is pandemic models, and U of T Engineering professor Dionne Aleman (MIE) has first-hand experience in building these. Aleman is an expert in the field of...


Fahad Pinto
Communications & Media Relations Strategist