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NHS risks collapse from twin threat of strikes and flu, says Streeting
Flu admissions rose 55% last week with 2,660 daily hospitalisations, risking NHS overload as resident doctors plan a five-day strike amid disputes on pay and training.
- This month the NHS warned of a worst-case scenario from an unprecedented wave of superflu as resident doctors plan a five-day strike starting Wednesday, with the BMA vote closing Monday.
- The UK Health Security Agency identified H3N2 subclade K with less natural immunity, while the British Medical Association demands a 26 per cent pay rise amid over 30,000 applicants for 10,000 places this year.
- NHS figures showed flu admissions jumped 55% in a week to an average 2,660 patients per day last week, with 2,781 patients since Sunday including 108 in critical care.
- Trusts have declared a critical incident and reinstated mask mandates in clinical departments, while ministers warn staff Christmas leave and cancelled operations could follow amid 50,468 people waiting 12 hours or more in November.
- The Government offered emergency reforms including 4,000 training posts and reimbursement of Royal College exam fees, while health officials warned `time is running out` for vaccination for Christmas Day protection.
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'Super flu' surge and planned strikes could collapse NHS ...
·London, United Kingdom
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Malay MailReposted by 
AlKhaleej Today
AlKhaleej TodayUK faces unprecedented wave of super flu as NHS warns of worst-case scenario ahead of Christmas
LONDON, Dec 12 — The UK is facing an “unprecedented wave of super flu”, a health chief warned today as the health minister urged doctors to call off a threatened five-day strike ahead of Christmas.Wes Streeting said the state-funded National Health Service (NHS) was in an “incredibly precarious situation” as flu cases mounted, and was facing a “challenge unlike any it has seen since the pandemic”.NHS figures published on Thursday showed flu case…
·Selangor, Malaysia
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Coverage Details
Total News Sources47
Leaning Left3Leaning Right3Center32Last UpdatedBias Distribution84% Center
Bias Distribution
- 84% of the sources are Center
84% Center
C 84%
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