Oliver Johnson

How worried should we be about a second wave?

(Photo: Getty)

Now that we are two months past the peak of the UK coronavirus epidemic, many fear the emergence of a second wave of the disease and remain anxious about any evidence that reopening the country has gone too far. For this reason media headlines like ‘Germany’s R number rockets again – from 1.79 to 2.88’ (Sky News) and ‘UK coronavirus cases no longer falling, ONS figures show’ (the Times) are amplified very quickly. But how worried should we really be by these headlines?

By now, we have become familiar with the R number (the average number of people that each infected person will themselves infect) and are alert to the danger of it being greater than 1. However, we have likely spent less time thinking about how the value is found. It is important to understand that we cannot directly measure R, like temperature on a thermometer. Simply put, it is impossible to be sure how many people are infected at any given time, let alone who infected them. For this reason, we have to infer the value of R indirectly.

One way to do this is to count daily positive tests and track the rate at which they are growing or shrinking. But positive tests are an imperfect proxy for the number of infections in the population. If several people display symptoms in a single workplace, it makes sense to test the entire workforce there. As a result, more positive tests will occur, as asymptomatic people or those with mild symptoms are also discovered. It is not necessarily that infections have become more common, but rather we know where to look for them.

When we were close to the peak, discovering a few hundred such extra cases would make very little difference to our estimate of R.

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