There is a lot of discussion about what we can expect from the ongoing pandemic. Many scientists try to predict the future and decide upon what preventive measures to take in order to mitigate the spread of the Covid-19 infection. But what is R_0 and how do you estimate it? What about #flattenthecurve? How does the math behind all this work and what does the statistical models look like? In this talk professor Britton explains all this.
Tom is one of the invited speakers of Pi-day 2020 at Tekniska museet in Stockholm. We are happy to share this talk online since all large social gatherings in Sweden are now cancelled to reduce the spread – one of the preventive measures a society can decide to implement.
Errata: Please observe that the combined effect of preventive measure that reduces R_0 with a factor c is not the same c as the number of contacts. This is explained 23 min into the talk.
We are sorry for this ambiguity.
Thumbnail: Av NIAID – Novel Coronavirus SARS-CoV-2, CC BY 2.0, https://commons.wikimedia.org/w/index.php?curid=87960923
#coronavirus #covid19 #mathematics #outbreak #pandemic #science