The purpose of this systematic review and meta-analysis is to determine the effect of lockdowns, also referred to as ‘Covid restrictions’, ‘social distancing measures’ etc., on COVID-19 mortality based on available empirical evidence. We define lockdowns as the imposition of at least one compulsory, non-pharmaceutical intervention (NPI). We employ a systematic search and screening procedure in which 19,646 studies are identified that could potentially address the purpose of our study. After three levels of screening, 32 studies qualified. Of those, estimates from 22 studies could be converted to standardised measures for inclusion in the metaanalysis.
Throughout the course of the pandemic, officials and ministers wrestled with how to ensure the public complied with ever-changing lockdown restrictions. One weapon in their arsenal was fear.
“We frighten the pants off everyone,” Matt Hancock suggested during one WhatsApp message with his media adviser.
The then health secretary was not alone in his desire to scare the public into compliance. The WhatsApp messages seen by The Telegraph show how several members of Mr Hancock’s team engaged in a kind of “Project Fear”, in which they spoke of how to utilise “fear and guilt” to make people obey lockdown.
Matt Hancock wanted to “deploy” a new Covid variant to “frighten the pants off” the public and ensure they complied with lockdown, leaked messages seen by The Telegraph have revealed.
The Lockdown Files – more than 100,000 WhatsApp messages sent between ministers, officials and others – show how the Government used scare tactics to force compliance and push through lockdowns.
A senior Pfizer executive has admitted that the drug company did not know whether its Covid vaccine prevented transmission of the virus when it began rolling out the shots globally.
Janine Small, Pfizer’s president of international developed markets, was testifying before the European Union Parliament on Monday when she was asked the question by Dutch MEP Rob Roos…
“Millions of people worldwide felt forced to get vaccinated because of the myth that ‘you do it for others’,” he said in the video, which has been viewed more than five million times.
“Now this turned out to be a cheap lie. This should be exposed.”
See commentary by Off-Guardian here.
‘We’d been quite careful for most of the pandemic, wearing masks and avoiding many big events. But I was pretty confident that, if I did get it, I would be fine because I’d had my jabs. But I couldn’t get out of bed for days and it took almost a month for me to fully recover.’
Imperial College’s death estimates over the years have some things in common: flawed modeling, hair-raising predictions of disaster that missed the mark, and no lessons learned.
The defining event in the history of Western Covid lockdowns occurred on March 16, 2020, with the publication of the now infamous Imperial College London Covid report, which predicted that in the “absence of any control measures or spontaneous changes in individual behaviour,” there would be 510,000 Covid deaths in Great Britain and 2.2 million in the United States. This prediction sent shock waves around the world. The next day, the U.K. media announced that the country was going into lockdown.
Speaking this week on The Mail on Sunday’s Medical Minefield podcast, Prof Woolhouse said: ‘I think that lockdown will be viewed by history as a monumental mistake on a global scale, for a number of reasons.
‘The obvious one is the immense harm the lockdown, more than any other measure, did in terms of the economy, mental health and on the wellbeing of society.
…[A study published in Science in February 2021] also found something intriguing: lockdowns could, in a worst-case scenario, actually increase transmission of the virus by up to five per cent.
…As Dr Ali puts it: ‘Some people say lockdowns were beneficial, others that they were really terrible.
‘The reality actually is much closer to the idea that it didn’t make much difference either way.’
For those who made painful sacrifices, that won’t be an easy truth to swallow.
A senior epidemiologist who advised the government during the coronavirus pandemic claims he was told to “correct” his views after he criticised what he thought was an “implausible” graph shown at an official briefing.
Professor Mark Woolhouse has also apologised to his daughter, whose generation “has been so badly served by mine”, and believes that closing schools was “morally wrong”.
The Edinburgh University academic is deeply critical of the use of lockdown measures and says “plain common sense” was a “casualty of the crisis”.
Speaking to Sky News, Prof Woolhouse seemed concerned about a possible “big-brother” approach to the control of information about COVID.
He says he was told to watch what he was saying following a briefing given by Chief Scientific Adviser (CSA) Sir Patrick Vallance on 21 September 2020.
Scientists did not have accurate Covid case numbers, and were unsure of hospitalisation and death rates when they published models suggesting that more than 500,000 people could die if Britain took no action in the first wave of the pandemic, it has emerged.
On March 16 2020, Imperial College published its “Report 9” paper suggesting that failing to take action could overwhelm the NHS within weeks and result in hundreds of thousands of deaths.
Before the paper, the UK coronavirus strategy was to flatten the peak rather than suppress the wave, but after the modelling was made public, the Government made a rapid u-turn, which eventually led to lockdown on March 23.
However SPI-M (Scientific Pandemic Influenza Group on Modelling) minutes released to the Telegraph under a Freedom of Information request show that by March 16, modellers were still “uncertain” of case numbers “due to data limitations”.
The minutes show that members were waiting for comprehensive mortality data from Public Health England (PHE) and said that current best estimates for the infection fatality rate, hospitalisation rates, and the number of people needing intensive care were still uncertain.
They also believed that modelling only showed “proof of concept” that lockdowns could help, and warned that “further work would be required”.
It is more than a rebuke to Medley and the modellers though. This pandemic began, for many, with an announcement from Imperial College, whose study predicted 500,000 deaths if we did nothing. We locked down and never tested the prediction.
This time, in the face of what the public saw as dire predictions, we didn’t lock down and the apocalypse never came. The unspoken — and sometimes spoken — implication is clear: are we all fools?
Cross-reactive immune responses to SARS-CoV-2 have been observed in pre-pandemic cohorts and proposed to contribute to host protection. Here we assess 52 COVID-19 household contacts to capture immune responses at the earliest timepoints after SARS-CoV-2 exposure. Using a dual cytokine FLISpot assay on peripheral blood mononuclear cells, we enumerate the frequency of T cells specific for spike, nucleocapsid, membrane, envelope and ORF1 SARS-CoV-2 epitopes that cross-react with human endemic coronaviruses. We observe higher frequencies of cross-reactive (p = 0.0139), and nucleocapsid-specific (p = 0.0355) IL-2-secreting memory T cells in contacts who remained PCR-negative despite exposure (n = 26), when compared with those who convert to PCR-positive (n = 26); no significant difference in the frequency of responses to spike is observed, hinting at a limited protective function of spike-cross-reactive T cells. Our results are thus consistent with pre-existing non-spike cross-reactive memory T cells protecting SARS-CoV-2-naïve contacts from infection, thereby supporting the inclusion of non-spike antigens in second-generation vaccines.
People with high levels of T cells from common colds are less likely to catch COVID, according to a new peer-reviewed study.
Researchers said the findings could help provide the blueprint for the production of new vaccines which give longer-lasting immunity and would protect against current and future coronavirus variants such as Omicron and Delta.
The Covid modellers at Imperial College have begun to back down. About time too. Over the past few weeks, they have made extreme claims about the omicron variant that cannot be fully justified by fundamental science, let alone by clinical observation.
Part of the rush to dismiss women on the basis of little to no evidence comes – no doubt – from a well-meaning, but ultimately misguided effort to reduce vaccine hesitancy in young women, although if anything will drive hesitancy it is surely exactly this kind of medical gaslighting. More broadly, being disbelieved and dismissed by the medical establishment is nothing new for women, who are used to being, for example, prescribed antidepressants when they present to doctors in pain (men who present with similar symptoms are more likely to be prescribed painkillers). Women are simply not considered to be reliable narrators of their own bodies.
No10’s Test and Trace system has had barely any impact on thwarting the spread of Covid, according to official estimates.
The controversial £37billion scheme has been heavily criticised over the past year for being ineffective at breaking the chains of transmission.
New Government modelling found the programme – which critics have described as being the biggest ever waste of taxpayer money – may have only slashed cases by as little as six per cent.
The overall risk of children becoming severely ill or dying from Covid is extremely low, a new analysis of Covid infection data confirms.
Scientists from University College London, and the Universities of York, Bristol and Liverpool say their studies of children are the most comprehensive yet anywhere in the world.
They checked England’s public health data and found most of the young people who had died of Covid-19 had underlying health conditions:
Around 15 had life-limiting or underlying conditions, including 13 living with complex neuro-disabilities
Six had no underlying conditions recorded in the last five years – though researchers caution some illnesses may have been missed
A further 36 children had a positive Covid test at the time of their death but died from other causes, the analysis suggests
Though the overall risks were still low, children and young people who died were more likely to be over the age of 10 and of Black and Asian ethnicity.
Researchers estimate that 25 deaths in a population of some 12 million children in England gives a broad, overall mortality rate of 2 per million children.
25 CYP died of SARS-CoV-2 during the first pandemic year in England, equivalent to an infection fatality rate of 5 per 100,000 and a mortality rate of 2 per million. Most had an underlying comorbidity, particularly neurodisability and life-limiting conditions. The CYP who died were mainly >10 years and of Asian and Black ethnicity, compared to other causes of the death, but their absolute risk of death was still extremely low.
Modelling that helped persuade the Government to delay the June 21 reopening was overly pessimistic and the lockdown lifting should “possibly” have gone ahead on time, a government adviser has admitted.
Dr Mike Tildesley, an epidemiologist from Warwick University, said Britain had been in a “much better situation than we thought” when his group released models suggesting third wave deaths could hit 72,000.
As Sarah Knapton has revealed in these pages, the brutal postponement of Freedom Day coincided with the release of a bunch of alarmist models predicting a huge new wave of deaths. The most pessimistic, inevitably from Imperial College, forecast 203,824 deaths over the next year. It did so by assuming just a 77-87 per cent reduction in hospitalisations following two vaccinations, despite the fact that real world data shows two vaccinations to be between 92 per cent (AstraZeneca) and 96 per cent (Pfizer) effective in preventing hospitalisation. That would cut the Imperial forecast of deaths by a gob-smacking 90 per cent to 26,854.
This keeps happening. In April the modellers assumed a 30 per cent effectiveness for the vaccine at preventing the spread of the virus. This was described as “a pessimistic view – but it is plausible, it’s not extreme”, by Professor Graham Medley, chairman of the SPI-M sub-group of Sage. It turns out it was far from plausible. At the end of March the BBC’s favourite modeller, Imperial College’s Neil Ferguson, was forecasting that by June 21, even with “optimistic” assumptions, less than half of Britain would be protected against severe disease by vaccination. The true figure is over 80 per cent.