Coronavirus: R number goes between 1.3-1.5 across the UK | UK News

SAGE has released its estimate of the R number

The most recent government figures showed that the number of coronavirus (R) proliferation in the United Kingdom rose slightly across the country.

According to the Government’s Emergency Scientific Advisory Group (SAGE), the R number is now between 1.3 and 1.5 – from 1.2 to 1.5 last week.

The number R is one of several indicators that scientists use to determine how fast Covid-19 The virus is spreading.

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An R number between 1.3 and 1.5 means that, on average, every 10 people who are infected will infect between 13 and 15 other people.

So a R number between 1.3 and 1.5 means, on average, that every 10 people infected with the virus will infect between 13 and 15 others.

If the reproduction rate is higher than one, this means that the number of cases will increase dramatically. But if it is less than one, the disease will eventually fade away.

Sage also reported an infection growth rate from + 4% to + 7%, which means the number of new infections is growing 4% to 7% every day.

The group said in “expert opinion” that it believed “this week’s estimates are reliable, and that there is still widespread growth of the epidemic across the country.”

Across the English language regions, the R is estimated as follows:

  • Eastern England: 1.3 to 1.5
  • London: 1.1 to 1.4
  • Midlands: 1.2 to 1.5
  • Northeast and Yorkshire: 1.3 to 1.4
  • Northwest: 1.3 to 1.5
  • Southeast: 1.3 to 1.5
  • Southwest: 1.3 to 1.6
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London is the region with the lowest and lowest appreciation, while the highest rated highest is in the southwest.

Prime Minister Boris Johnson previously said that having an R number less than one was important in managing the epidemic in the UK.

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These estimates come days after the government unveiled its new system for managing local outbreaks in England.

Large parts of the country fall into Levels 1 and 2, while the Liverpool and Lancashire city area is on its highest alert level, Level 3, after a huge spike in cases.

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