More evidence of deliberate Omicron scaremongering, this time by the UK Health Security Agency (UKHSA)
What a load of tosh.
The estimate of 200,000 "infections" per day was released without showing the methodology behind the calculation.
So in other words, they released a scary "estimate" of the number of infections per day, together with a similarly nebulous "estimate" of the doubling time (1.9 days) but without anything to show how they worked these figures out.
A "useful snapshot to emphasise the scale at which Omicron was spreading" - my ****.
This was deliberately designed to panic the government, and also MPs, into
(a) voting for Plan B
(b) believing that more restrictions over and above Plan B were not only necessary, but inevitable.
If I was Sajid Javid or Boris Johnson, I would be giving Jenny Harries (the head of UKHSA) a right b********g for issuing such rubbish, and trying to pretend it had a basis in fact.
Note also the sentence in the article which suggests that, once again, Imperial College "modelling" is wide of the mark.
I am afraid that this familiar cycle of dodgy modelling being trotted out in order to scare the government into introducing restrictions, or to scare the government into believing that it is not safe to release restrictions, has been a feature of the entire pandemic, right from Professor Pantsdowns original "predictions" in March 2020.
The fact that the Prime Minister is congenitally stupid (he "doesn't do detail") means that all these modellers have been able to get away with it.
A spokesman said the figure (an estimated 200,000 Omicron infections per day) had given a “useful snapshot” to “emphasise the scale” at which omicron was spreading but argued that increased mask wearing and working from home had altered the forecast. The UKHSA could not give an up-to-date estimate of infections.
What a load of tosh.
The estimate of 200,000 "infections" per day was released without showing the methodology behind the calculation.
So in other words, they released a scary "estimate" of the number of infections per day, together with a similarly nebulous "estimate" of the doubling time (1.9 days) but without anything to show how they worked these figures out.
A "useful snapshot to emphasise the scale at which Omicron was spreading" - my ****.
This was deliberately designed to panic the government, and also MPs, into
(a) voting for Plan B
(b) believing that more restrictions over and above Plan B were not only necessary, but inevitable.
If I was Sajid Javid or Boris Johnson, I would be giving Jenny Harries (the head of UKHSA) a right b********g for issuing such rubbish, and trying to pretend it had a basis in fact.
Note also the sentence in the article which suggests that, once again, Imperial College "modelling" is wide of the mark.
Imperial warned that the risk of reinfection with the omicron variant is 5.4 times greater than that of the delta variant, although latest UKHSA real-world data suggests it is closer to three times.
I am afraid that this familiar cycle of dodgy modelling being trotted out in order to scare the government into introducing restrictions, or to scare the government into believing that it is not safe to release restrictions, has been a feature of the entire pandemic, right from Professor Pantsdowns original "predictions" in March 2020.
The fact that the Prime Minister is congenitally stupid (he "doesn't do detail") means that all these modellers have been able to get away with it.
Modelling behind Sajid Javid’s claim of 200,000 daily omicron infections ‘no longer valid’
Health officials admit it is now wrong to assume the doubling rate will remain constant, as new measures are slowing the spread of Covid-19
www.telegraph.co.uk
Sajid Javid’s 200,000 daily omicron cases claim ‘no longer valid’
Health officials say new measures are slowing the spread of Covid-19 as real-world data offers hope on the effectiveness of current vaccines
Modelling used to justify Sajid Javid’s claim that there were 200,000 omicron infections a day has been abandoned by health officials, who say it is ‘no longer valid’ because of behavioural changes.
On Monday, the Health Secretary caused widespread confusion by announcing the figure without releasing the methodology behind the calculation. The UK Health and Security Agency (UKHSA) consistently warned this week that omicron infections were doubling every 1.9 days.
But a methodology memo published quietly by the UKHSA on Thursday states it is now wrong to assume that the doubling rate will remain constant, and so should no longer be used.
A spokesman said the figure had given a “useful snapshot” to “emphasise the scale” at which omicron was spreading, but argued that increased mask wearing and working from home had altered the forecast. The UKHSA could not give an up-to-date estimate of infections.
It comes after a poll suggested that the public are tiring of restrictions. A YouGov survey for The Times newspaper found that a majority of people would not back pubs, restaurants or non-essential shops being shut or bans on meeting people from other households.
On Friday, new modelling by Imperial College was also criticised for failing to take into account real-world data from South Africa showing that omicron is causing fewer deaths and hospitalisations, and leading to shorter stays in hospital even for the oldest and most vulnerable.
Imperial warned that the risk of reinfection with the omicron variant is 5.4 times greater than that of the delta variant, although latest UKHSA real-world data suggests it is closer to three times.
The Imperial modelling suggests that in countries with high vaccination rates – such as Britain – an omicron wave could bring nearly 5,000 deaths a day – three times as many as the January wave. However, experts said this was unlikely.
Professor James Naismith, Director of the Rosalind Franklin Institute, said: “We can be confident that the double and especially triple vaccinated have protection against serious disease.
“As a result, the number of hospitalisations per 1000 infections of omicron will be significantly lower than the first wave. Better medicines and treatments will help too.”
The Imperial team, led by Professor Neil Ferguson, said there was little evidence to suggest that omicron was milder, in contrast to mounting real-world and laboratory data showing the opposite.
Imperial’s own data, which looked at more than 200,000 cases between November 29 and December 11 also showed that the risk of needing hospital attention from omicron was 0.15 per cent compared to 0.66 per cent compared to delta – four times less.
The Imperial model also states that a booster jab may only give 80 per cent protection against hospitalisation. However, models released last weekend by London School of Hygiene and Tropical Medicine state it could be anywhere between 84 per cent and 97 per cent.
‘Important not to over-interpret’
Commenting on the Imperial study, Dr Clive Dix, former chair of the UK Vaccine Taskforce, said: “It is important not to over-interpret this data. The conclusions made are based on making assumptions about omicron where we still don’t have sufficient data.
“For example, we have no data on the cellular immune response which is now probably driving the effectiveness of vaccines. This is a crucial missing assumption in the modelling.
“Some of their conclusions are different to the data emerging from South Africa in that the vaccines are holding up well against severe disease and death at present.
“There is a huge amount of uncertainty in these modelled estimates and we can only be confident about the impact of boosters against omicron when we have another month of real-world data on hospitalisation, ICU numbers and deaths.”
On Friday, health officials in South Africa confirmed that fewer people have died or required hospital treatment from omicron than in previous waves despite a record number of new infections.
Data from the city of Tshwane showed that the case fatality rate has plummeted for all age groups since the delta wave, even among the most elderly and vulnerable.
The death rate for over-80s is around 20 per cent compared to nearly 50 per cent in the delta wave. For 70 to 79-year-olds it has fallen from about 40 per cent to just 10 per cent.
‘Relatively small increases’
“The hospitalisations are not increasing at such a dramatic rate,” said Michelle Groome, the head of Public Health Surveillance at South Africa’s National Institute for Communicable Diseases (NICD).
“We are starting to see some increases, but relatively small increases in deaths.”
On Friday, the UK Government reported 93,045 new cases of Covid-19, the third day in a row that a record number of daily cases has been reached since the pandemic began.
Hospital admissions have also risen by eight per cent in a week, to 900, although the vast majority of these are caused by delta. Deaths are continuing to fall, with 111 reported on Thursday, down 4.5 per cent since last week.
Prof Polly Roy, professor of virology at the London School of Hygiene & Tropical Medicine, said: “There is a prevailing view that omicron represents a dramatically increased threat – but we don’t yet have all the evidence we need to know that.
“While continued spread of the virus does run the risk in reaching those who are vulnerable or unvaccinated, particularly in the winter months, the increased risk to the majority vaccinated population is probably marginal.
“While keeping up with your shots of the existing vaccine is good practice, lurching into precipitous social policies or change of vaccine are not.”