Coronavirus: There may be up to 6000 cases a day

New coronavirus cases could reach 6,000 a day in England, with “clear evidence” of increased positive testing in people under 35, according to the Office for National Statistics.

The Office for National Statistics found infection rates were higher in the Northwest and London, based on random testing of thousands of people in homes.

The numbers are for the week ending September 10.

Measures could soon be taken at the New England level to reduce the issues.

This follows The number of new daily laboratory confirmed cases in the UK rises to 3,395 Over the past two weeks and persistent problems with the government testing and tracking program have made it difficult for people to access the tests.

The virus cases and hospital admissions for Covid-19 are now believed to double every seven to eight days in the UK.

Covid Symptom Study App, Which tracks the health of four million people in the UK, and estimates there have been around 7,500 new cases of Covid per day over the past two weeks.

Their latest figures show a spike in cases in London for the first time since June.

It is a “disturbing picture”, said Professor Tim Spector, professor of genetic epidemiology at Kings College London and the founder of the app, adding that it appeared to be “the beginning of a second wave”.

ONS infection clearedWhich has produced weekly estimates of virus cases since April, has been testing people whether or not they have symptoms.

This makes it one of the most accurate images of infection levels in England and Wales, although it still has a large margin of uncertainty.

Its latest figures are based on more than 200,000 swab tests taken over the past six weeks.

Of the 136 tests positive, children ages 2 to 11 and young adults ages 17 to 34 had the highest rates of infection.

Data from Wales suggests that the Covid-19 case there is currently “relatively stable” – with an estimated 1 in 2,000 infected.

But the Office for National Statistics said the results in Wales should be interpreted with caution due to the small number of tests in the sample.