One of the things I’ve written about on this blog quite frequently is how important the treatment of uncertainty is in science, both in the application of the scientific method itself and in the communication of results to a wider audience. This blog post makes a similar point about the presentation of results from modelling the spread of Covid-19.
Yesterday, a group in Oxford released a paper that implied that a signifcant fraction of those in the UK may already have been infected. This was quickly picked up by numerous media outlets who highlighted that coronavirus could already have infected half the British population. James Annan has already discussed it in a couple of post, but I thought I would comment briefly myself.
To be clear, I certainly have no expertise in epidemiology, but I do have expertise in computational modelling. So, I coded up their model, which is described in Equations 1-4 in their paper. They were also doing a parameter estimation, while I’m simply going to run the model with their parameters.
The key parameter is $latex rho$, which is the proportion of the population that is at risk of severe disease, a fraction of whom will die (14%). They explicitly assume that only…
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In the Dark 