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Home›Wokingham›More than half of Reading sees Covid cases increasing week to week on cluster map

More than half of Reading sees Covid cases increasing week to week on cluster map

By Lisa Scuderi
September 27, 2021
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More than half of Reading has seen cases increase week to week – and one area has seen a particular increase.

This is after the number of clusters that saw an increase in cases the previous week rose from 431 a week ago to 463 in the most recent update.

And Caversham Heights climbed to first place in the single group with the highest weekly cases, registering 42 – up 13 from the previous week, up from 29 last Tuesday.

Lower Earley North continues to be the area with the highest number of combined cases, with a total of 50, up 29 from last Tuesday.

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At the other end of the scale, the central reading area has grown from 38 to 27 cases, seeing small progress in reducing Covid cases.

The 10 clusters showing weekly increases were: Caversham Heights (42 vs. 13), Battle & Caversham Bridge (27, up 1), Caversham Emmer Green (20, up 9), Southampton Street & Redlands Road (30, up 2), Southcote (35, up 6), Coley Park (25, up 13), Tilehurst North (29, up 4) Burghfield Common, (16, up 3), Kennet Island & Green Park (35 par 13), Wokingham Road (22 par 2).

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Figures refer to those recorded in the seven-day period leading up to Monday, September 27 of this week, the most recent data available.

During that time, Reading as a whole recorded a total of 463 positive test results, 32 more than the week before.

It marked a 7.15% increase – the first weekly increase in cases Readubg has seen in a few weeks during the Chronicle’s bi-weekly cluster map updates.

The case rate is now an average of 288.8 cases per 100,000 population, which is an increase from 293.5 cases per 100,000 last Tuesday.

The map shows positive cases by “average super exit area” – the name the government gives to the break-up of large towns and clusters of neighboring towns and villages, with clusters covering a larger area than others. .

The minimum population in each area is 5,000 and the average is 7,200.

Clusters are only displayed when there are three or more new cases reported at any one time.

Anywhere between zero and two cases appear in white to “protect the privacy of individuals and prevent disclosure,” the accompanying information indicates.


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