News Item – The inexact science involved in predicting the likely path of COVID-19

Modelling may be imperfect, but policy makers would basically be operating blind without them, says Dionne Aleman, an industrial engineering professor and CHE affiliate at the University of Toronto.

She notes these educated guesses can help answer big questions dogging many hospitals: When will the surge of COVID-19 patients arrive? Do we have enough intensive care beds? How many patients will need ventilators? Are there enough nurses?

Full article at: Canadian Press

Related posts:

  • 冠狀病毒:專家告誡COVID-19建模的“不精確科學” – Coronavirus: Experts warn about “inaccurate science” of COVID-19 modelling (April 4: CoronavirusNewsLive.com)