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Testing times

As referred to in an earliest post, it's been understood from the start of the epidemic that testing for Coronavirus is crucial for limiting its...

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Prior infection

  In an earlier post I referred to an Austrian study in which a random sample of the inhabitants of a region had been tested for the...

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A/B test

A/B test

  In an earlier post I showed how a comparison of two different, though similar, provinces of Italy which had adopted different approaches to...

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Coronavirus statistics

Coronavirus statistics

  I was thinking of writing a post giving a kind of glossary of various statistical terms and tools that are relevant for interpreting reports...

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Relative risk

  One issue that's constantly pushed by the media about the effects of COVID-19 is that it's much more deadly for older people than for younger...

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Random sampling

  A recurrent theme in the COVID-19 posts to this blog is the difficulty in interpreting data and analyses due to the way data are collected....

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Seasonal effects

  There's been plenty of speculation (here, here, here,...) that the novel Coronavirus might be seasonal, meaning that transmission rates will...

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Risky talk

In a previous post I referenced a book by the eminent statistician David Spiegelhalter. Since earlier this year, Davis has also been producing a...

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Scales

The graph above is the latest (as of 5th April) update from the FT showing a 7-day rolling average of the number of new COVID-19 confirmed cases...

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A changing world

  In an earlier post, I discussed the 'stringency index', which has recently been developed as a way of measuring how severe - stringent - a...

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Sex and the Coronavirus

  Actually, not in that sense, but you can find relevant information here. For good and for bad, the Coronavirus epidemic is generating a large...

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