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More or Less

False negatives, testing capacity and pheasants

More or Less

BBC

News Commentary, Science, Mathematics, News

4.63.7K Ratings

🗓️ 3 June 2020

⏱️ 28 minutes

🧾️ Download transcript

Summary

As lockdowns begin to lift the government is relying on testing and contact tracing programmes to prevent a second wave of Covid-19 infections. But how accurate are the swab tests used to diagnose the disease? The UK Statistics Authority has criticised the government for the way it reports testing figures, saying it’s not surprising that these numbers “are so widely criticised and often mistrusted.” We take a look at how the government achieved its target of developing a daily testing capacity of 200,000 by the end of May. Can we really have only 60 harvests left in the world? Plus, the very pleasant Hugh Fearnley Whittingstall has a pleasant pheasant question for us.

Transcript

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0:00.0

BBC Sounds, Music, Radio, Podcasts

0:05.6

Hello and welcome to More or Less, the show that sneezes, suspects, statistics into the

0:10.4

cook of an analytical elbow. I'm Tim Haafard. This week is all the soil in the world disappearing

0:17.0

or is it only all the soil in Sheffield. The very pleasant, hue-ferno-witting stall has

0:21.9

a pleasant, pleasant question for us and the answer to last week's Roman numerals puzzle.

0:27.6

First, as lockdown begins to lift, albeit in different ways and at different speeds in

0:32.4

different parts of the UK, the government is relying on testing and contact tracing programs

0:37.7

to prevent a second wave of Covid-19 infections. In England, the programme is called Test,

0:43.2

Track and Trace and it says that anyone with suspected coronavirus symptoms should isolate

0:48.7

for seven days, unless their test comes back negative in which case they can leave isolation.

0:55.1

So that approach relies on the tests being able to identify whether you're infected or

0:58.9

not, so how accurate are they? Jessica Watson is a GP and also a doctoral research fellow

1:05.2

at Bristol University, where she studies the use of diagnostic tests. So if I have Covid

1:11.4

symptoms and then I have a test to see if I've got the virus and the test comes back negative,

1:18.9

I think the natural assumption is, oh well I was mistaken and in fact I don't have it,

1:24.4

but it's not as straightforward as that is it? No exactly, it's never really quite that straightforward

1:29.2

with tests, so no tests are perfect. There's always the chance that the test might be falsely

1:38.2

reassuring or raising a false alarm as it were and with these coronavirus swabs, the particular

1:45.0

concern is the sort of false reassurance that sometimes occurs because we know that some people

1:53.2

who do have coronavirus will be missed by the swab tests. So do we know how often that happens?

1:59.8

If I've got a hundred people who actually have coronavirus and they all have this swab test,

2:05.0

do we know how many will falsely come back negative? It's a really good question, it's actually

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