Coronavirus

The Office for National Statistics (ONS) released the results of its latest Covid 19 Infection (Pilot) Survey on 2 October.  This involves random sampling of the population - so it’s similar to REACT, which we looked at in our last post. But does it highlight any key trends that tests of symptomatic people haven’t? And what is all this different data really telling us? 

Housing charity Shelter, and the Mayor of London, have both made an alarming prediction...Unless the government acts quickly, we could soon see a “tsunami” of Covid 19 related evictions.

The UK economy is now officially in recession, following a record breaking 20.4% slump in Q2 But, before this is all cast as Covid 19 related, it’s important to look back a little bit further. The downward trend in GDP is part of a pattern

The French Government is set to dispatch 40 million free reusable face coverings to 7m residents most in need. Health Minister, Oliver Veran, announced the move following widespread criticism of the financial burden of mandatory mask wearing.

The Government’s response to Covid 19 has confused everyone. Including its own Cabinet, it so often seems.  And the prime minister’s recent press conference has done very little to change that impression. 

The Covid 19 crisis has shone a spotlight on a whole range of issues. Including how we view, and use, shared resources. And this applies as much in the digital space, nowadays, as any other type of environment.

Leicester’s Covid 19 crisis continues to lead the headlines. And a report issued by Public Health England (PHE) makes it clear... The connection we’ve highlighted between new diagnoses and deprivation keeps getting stronger.

Leicester has become the first city in the UK to enter a local lockdown. And this appears to throw weight behind The Working Group's findings. 

COVID-19 disproportionately affects people who live in lower income areas. Those findings are clear from the latest Office for National Statistics (ONS) release.But we wanted to dig further into what various datasets tell us. And see whether any other contributing factors stood out.