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Evening Standard
Evening Standard
National
Kit Heren

New 'heat map' shows which areas are most likely to stick to coronavirus lockdown rules

People in Ryedale are most likely to stick to coronavirus "stay at home" rules when showing symptoms of Covid-19, survey data collected by a health app has suggested.

More than 98 per cent of people in the North Yorkshire district are following the guidance, according to information from the Evergreen Life app that tracks Covid-19 symptoms in the UK, which was last updated on Sunday.

Other areas where residents are sticking to the rules include Wandsworth in south London and Adur in West Sussex, with nearly 98 per cent of people with symptoms staying at home.

Evergreen collected the data from more than 25,000 people who use the app to help scientists track the spread of the disease through the UK.

Evergreen Life's coronavirus app shows where in the UK people are sticking to self-isolation rules when they have coronavirus symptoms. (Evergreen Life)

Key workers, such as NHS staff or supermarket employees, are not included in the study.

Most areas showed that more than 90 percent of people who may have coronavirus are keeping to lockdown rules, but some dipped lower.

Middlesbrough showed that 25 per cent of people with symptoms have left the house. Around 18 per cent of people in Hertfordshire and Burnley have done the same.

People with coronavirus symptoms are supposed to self-isolate for seven days, even if their symptoms go away, according to Government rules.

If you are in the same household as someone with symptoms, you should stay at home for 14 days.

The data is being shared with scientists from the universities of Manchester and Liverpool, who are analysing the information.

Dr Ian Hall, from the University of Manchester, said: “Respondents are supporting a better understanding of the local experience of Covid-19 disease through sharing their data, which will be incredibly useful to national and local planning.

“This is an exciting emerging data stream and I look forward to helping interpret the data, with colleagues in Manchester and Liverpool, as it provides situational awareness to users and policy makers alike."

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