As the UK anxiously awaits another government tier update, a number of Yorkshire suburbs have flared up as coronavirus hotspots.
Although the county's infection rate is nowhere near as high as London and the South East - where several postcodes have an infection rate of over 1,000 - there are some areas of Yorkshire with troubling statistics.
It comes as government advisors are reportedly considering implementing a brand new Tier 5 for England, in scenes that would replicate the draconian March lockdown. It is understood that school closures are being considered as part of the proposals.
The quick spread of Covid-19 is being attributed to a new variant of the disease, which is said to be up to 70 per cent more transmissible. Although it is concentrated in London and the South East, experts have discovered that it has reached Yorkshire too.
It is not yet known exactly which areas of the county it is prevalent in, but the six worst-affected suburbs of Yorkshire are listed below:
- Rudby & Ingleby - 519.4
- Poppleton, Rufforth & Askham - 470.7
- Ilkley & Ben Rhydding - 470.4
- Churwell - 424.6
- Whitby South & East - 404
- Swinton South - 403
None of the areas above are anywhere close to the most infected region of England. Brentwood, Essex, has a staggering infection rate of 1,477.5 - almost three times higher than Yorkshire's most infected postcode.
What will trouble health experts most is that the most recent data does not include the number of new infections over the festive period.
Millions of families were allowed to visit one another on December 25 as part of the 24-hour Christmas bubble rules, which saw a relaxation of coronavirus restrictions, allowing up to three households to meet indoors in Tiers 1, 2 and 3.
However, the figures above are only for the seven days to December 22.
With doctors warning the Christmas bubble rules were "a disaster waiting to happen", it is highly likely that more parts of Yorkshire will see their infection rates creep above 400 in the coming days.
Seven–day rates are expressed per 100,000 of the population and are calculated by dividing the seven-day count by the area population and multiplying by 100,000. All the figures are taken from the government's publicly-available interactive Covid-19 dashboard.
https://news.google.com/__i/rss/rd/articles/CBMiXWh0dHBzOi8vd3d3LmV4YW1pbmVybGl2ZS5jby51ay9uZXdzL2xvY2FsLW5ld3MveW9ya3NoaXJlLWNvcm9uYXZpcnVzLWhvdHNwb3RzLXRpZXItNS0xOTUyOTg2NNIBYWh0dHBzOi8vd3d3LmV4YW1pbmVybGl2ZS5jby51ay9uZXdzL2xvY2FsLW5ld3MveW9ya3NoaXJlLWNvcm9uYXZpcnVzLWhvdHNwb3RzLXRpZXItNS0xOTUyOTg2NC5hbXA?oc=5
2020-12-29 05:00:00Z
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