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 a pandemic model – something Dionne Aleman, a researcher in the University of Toronto’s Faculty of Applied Science & Engineering, has first-hand experience in building.
Aleman, an associate professor in the department of mechanical and industrial engineering, is an expert in the field of operations research, focusing primarily on applications in human health. Ten years ago, she created a model of a hypothetical pandemic and used it to explore how factors such as demographic variations in transmission rates or mitigation strategies affected the demand on health-care services.
Full article at: Press Release Point (March 20: U of T News; March 23: Education News Canada, King Firth Health and Fitness, Medical Xpress)
- „Frühe und mutige Interventionen sind am besten‘: Forscher auf der Simulation einer Pandemie Antwort – ‘Early and brave interventions are best’: Researchers on simulating a pandemic response (March 23: NaturMedizinVideos)