COVID-19 cases in Bracknell are predicted to rise in the coming weeks, but will remain lower than several Berkshire areas according to a 'Covid calculator'.
A trend in rising cases across the country, including in Berkshire, has been highlighted in the interactive map devised by Imperial College London.
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The tool predicts which parts of the country have the greatest probability of seeing coronavirus cases rise above 50 per 100,000, which it classes as a 'hotspot.'
The data says the "probability of more than 100 cases per week" is currently 46 per cent.
By Saturday, October 31, the map shows there is a 72 per cent probability of more than 100 cases per week.
Currently, Bracknell sits in the '25 - 50 per cent' category in terms of chances of becoming a hotspot location.
The tool models data from daily reported cases and weekly reported deaths to provide a projection as to where boroughs are heading.
The predictions assume current interventions will remain as in the area, for example lockdowns and school closures.
West Berkshire and Wokingham are both set to become hotspots in this time, becoming 50 - 75 per cent locations by next week.
The map also shows the change of infection rates across the country, and identifies Bracknell as an 'increasing' area with a 99 per cent of this happening.
Towns are categorised as either increasing, likely increasing, direction unclear, likely decreasing and decreasing.
Very few areas in the country have been deemed as anything other than increasing.
It comes as COVID cases continue to rise across the country.
As of 9am on Tuesday (October 20) in Bracknell Forest, 716 people had been confirmed as testing positive for Covid-19.
The rate of infection in Bracknell Forest now stands at 584 cases per 100,000 people, far lower than the England average of 1,150.
Across the UK, the number of recorded cases increased by 21,330 over the period, to 762,542.
Bracknell Forest's cases were among the 59,194 recorded across the South East, a figure which rose by 990 over the period.
Cumulative case counts include patients who are currently unwell, have recovered and those that have died.
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