In a bad year for flu, we can lose 20,000-25,000 people. With a largely vaccinated population, there are likely to be about 30,000 Covid-related deaths over the next 12 months, an average of about 80 deaths every day. This is about half of one per cent of the deaths we would normally expect to happen in that period.
And not all of these will be additional deaths. In many cases, Covid will just substitute for another respiratory infection.
Dr Susan Hopkins, an epidemiologist consultant in infectious diseases and microbiology from Public Health England, has pointed to the possibility we will suffer a bad flu season in 2021/22 because the level of population immunity has been pushed down by Covid restrictions in 2020/21.
A future independent inquiry into the handling of coronavirus is expected to scrutinise Sage and consider whether such a monolithic body should hold so much power. Members of Sage have themselves expressed concern that the group holds too much sway over ministerial thinking and prevents alternative views being given equal weight.
Foot and mouth disease (FMD) is a major threat, not only to countries whose economies rely on agricultural exports, but also to industrialised countries that maintain a healthy domestic livestock industry by eliminating major infectious diseases from their livestock populations. Traditional methods of controlling diseases such as FMD require the rapid detection and slaughter of infected animals, and any susceptible animals with which they may have been in contact, either directly or indirectly. During the 2001 epidemic of FMD in the United Kingdom (UK), this approach was supplemented by a culling policy driven by unvalidated predictive models. The epidemic and its control resulted in the death of approximately ten million animals, public disgust with the magnitude of the slaughter, and political resolve to adopt alternative options, notably including vaccination, to control any future epidemics. The UK experience provides a salutary warning of how models can be abused in the interests of scientiﬁc opportunism.
- COVID-19 is not a dread disease that will kill everyone.
- The initially high case fatality rate of COVID-19 was because the medical community didn’t know how to treat it.
- The fatality rate of flu is 0.1% (1 in every 1,000 who are infected end up dying).
- Ventilators are the wrong option if you do not have an obstructed airway disease.
- Prod. Ioannidis: The infection fatality ratio of COVID-19 is 0.15%. This is pretty much the same as the flu.
- We should just ask people to be careful but otherwise go about your daily life.
- These things pass every year. This is the first ‘social media pandemic.’
- The normal practice for intensive care beds in the NHS is to run them almost full. This is because a lot of intensive care bed assignment is planned.
- ICU use at the height of the pandemic was has very low because the NHS was run as light as possible to cope with a second wave.
- Respiratory viruses don’t do waves.
- This is not opinion but is basic understanding among experts in the field. It is supposrted by the highest quality science. Sir Patrick Vallance knows this.
- COVID-19 follows the Gompertz Curve.
- You have immunity after your body has fought off a respiratory virus. If that was not the case, you’d be dead. Immunity probably lasts decades based on evidence from other viruses.
- Gompertz Curve is identical in all heavily infection regions.
- Something awefull happened in the middle of the year: PCR swab test.
- It is not true that if you test more people you’ll save more lives. A certain percentage of the test will come up positive even if there’s no virus in you.
- False positive rate wasn’t released.
- Kate Barker wrote in a government document on June 3rd, 2020, to SAGE: test has an unknown false positive rate; based on similar tests it may be between 1%-2%. This is a big deal.
- Based on 1%: for every 1,000 people you test, 10 will come back positive, even if they don’t have the virus. If prevalence is only 0.1% as reported by ONS, only 1 in 1,000 will be genuine. This means 9 in 10–in other words 90%–are false.
- Pillar 2 testing would have caused of the most of the positives to be false.
- 1,700 people die normally every day in the UK. During the summer, only about 10 were dying per day of covid.
- More testing, more false positives. We’ll never escape covid if we keep testing because most of the positives will be false. This is immunology 101. Sir Patrick Vallance would have known this.
- Influenza is a high mutation-rate virus. Coronaviruses are relatively stable so once you’ve recovered, you are probably immune for decades.
- COVID-19 kills 0.15%-0.2%, slightly more lethal than the average flu. Once it’s gone through the population, it won’t come back.
- 99.94% survive COVID-19 and will be resistant for a long time.
- COVID-19 is 80% similar to SARS-COV-1.
- People who were exposed to SARS have T-cell immunity 17 years later. Evidence for COVID-19 all point in direction.
- Our bodies have many lines of defense, including innate immunity and T-cells. Antibodies are in the last line of defense.
- Study shows around 30% prior immunity to SARS-COV-2. It was due to exposure to common-cold coronaviruses.
- The claim made by Sir Patrick Vallance that more than 90% are susceptible is a lie.
- Mass testing of the well populating is the worst problem as it generates false positives, fear and control.
- If you’re immune, you can’t be infected or infectious. Herd immunity is already in play in London.
- If SAGE is correct, London should be ‘ablaze’ with deaths.
- Current testing methods are not forensically sound.
- Tests detect common cold and dead virus.
- SARS-COV-2 has never really been a public health emergency.
- We do not need the vaccine to return to normal. Most people are not in danger from COVID-19. More people are in danger from car crashes and we accept that risk.
- Best case scenario is that the vaccine is 50% effective. Natural immunity might be better.
- The most vulnerable often don’t respond well to vaccines and die anyway.
- SAGE is giving lethally wrong advice.
- The reason the pandemic is not over is because SAGE says it’s not.
When deciding whom to listen to in the covid-19 era, we should respect those who respect uncertainty, and listen in particular to those who acknowledge conflicting evidence on even their most strongly held views. Commentators who are utterly consistent, and see whatever new data or situation emerge through the lens of their pre-existing views—be it “Let it rip” or “Zero covid now”—would fail this test.
Professor Matt Keeling said he wished he ‘hadn’t put these numbers in the study’
Paper said about 107,000 Britons could die by January without a circuit breaker
Study’s findings already been used as ammunition by scientists and politicians
The academic behind a startling study which projected a two-week ‘circuit-breaker’ could save thousands of lives by New Year has today admitted his figures were wildly over-estimated.
Professor Keeling told the BBC Radio 4 Today programme this morning: ‘I really, really wish I hadn’t put these numbers in the paper because they were there for illustration.
The great 20th-century pandemics, comparable in so many ways to their 21st-century heir, accounted for myriad private tragedies. Yet, unlike this novel coronavirus, their public, political significance was negligible. They were treated as public-health challenges, problems for clinicians, virologists and epidemiologists. And there were arguments at the time that more should have been done to mitigate their harm. But there was no sense of a world ending. No talk of a new normal. No attempt, that is, to reorganise the entirety of societal life around the threat they posed.
As coronavirus cases rise in pretty much all other European countries, leading to fears of a second wave including in the UK, they have been sinking all summer in Sweden. On a per capita basis, they are now 90 per cent below their peak in late June and under Norway’s and Denmark’s for the first time in five months. Tegnell had told me the first time we spoke in the spring that it would be in the autumn when it became more apparent how successful each country had been.
Gupta, who is a professor of theoretical epidemiology at Oxford, told The Londoner that alongside huge social and educational benefits, the “evidence is mounting that early exposure to these various coronaviruses is what enables people to survive them”.
LOCKDOWN will come to be seen as a “monumental mistake on a global scale” and must never happen again, a scientist who advises the Government on infectious diseases says.
Mark Woolhouse said lockdown was a “panic measure” but admitted it was the only option at the time because “we couldn’t think of anything better to do”.
But it is a crude measure that takes no accounts of the risk levels to different individuals, the University of Edinburgh professor said, meaning that back in March the nation was “concentrating on schools when we should have been concentrating on care homes”.
Unlike previous epidemics, in addressing COVID-19 nearly all international health organizations and national health ministries have treated a single positive result from a PCR-based test as confirmation of infection, even in asymptomatic persons without any history of exposure. This is based on a widespread belief that positive results in these tests are highly reliable. However, data on PCR-based tests for similar viruses show that PCR-based testing produces enough false positive results to make positive results highly unreliable over a broad range of real-world scenarios. This has clinical and case management implications, and affects an array of epidemiological statistics, including the asymptomatic ratio, prevalence, and hospitalization and death rates. Steps should be taken to raise awareness of false positives, reduce their frequency, and mitigate their effects. In the interim, positive results in asymptomatic individuals that haven’t been confirmed by a second test should be considered suspect.
As professor of epidemiology at Yale School of Public Health, I have authored over 300 peer-reviewed publications and currently hold senior positions on the editorial boards of several leading journals. I am usually accustomed to advocating for positions within the mainstream of medicine, so have been flummoxed to find that, in the midst of a crisis, I am fighting for a treatment that the data fully support but which, for reasons having nothing to do with a correct understanding of the science, has been pushed to the sidelines. As a result, tens of thousands of patients with COVID-19 are dying unnecessarily. Fortunately, the situation can be reversed easily and quickly.
I am referring, of course, to the medication hydroxychloroquine. When this inexpensive oral medication is given very early in the course of illness, before the virus has had time to multiply beyond control, it has shown to be highly effective, especially when given in combination with the antibiotics azithromycin or doxycycline and the nutritional supplement zinc.
- As a result, tens of thousands of patients with COVID-19 are dying unnecessarily.
- An inexpensive and be highly effective treatment, especially when given early: Hydroxychloroquine in combination with the antibiotics azithromycin or doxycycline and zinc.
- The article, “Early Outpatient Treatment of Symptomatic, High-Risk COVID-19 Patients that Should be Ramped-Up Immediately as Key to the Pandemic Crisis” was published in the American Journal of Epidemiology (AJE). It analyzed five studies, demonstrating clear benefits and safety of this treatment.
- Other studies include:
- an additional 400 high-risk patients treated by Dr. Vladimir Zelenko, with zero deaths;
- four studies totaling almost 500 high-risk patients treated in nursing homes and clinics across the U.S., with no deaths;
- a controlled trial of more than 700 high-risk patients in Brazil, with significantly reduced risk of hospitalization and two deaths among 334 patients treated with hydroxychloroquine;
- and another study of 398 matched patients in France, also with significantly reduced hospitalization risk.
- “Natural experiments:” northern Brazil state of Pará used hydroxychloroquine to reduce deaths.
- Hydroxychloroquine has shown major success when used early in high-risk people but, as one would expect for an antiviral, much less success when used late in the disease course.
- Delays in waiting before starting the medications can reduce their efficacy.
- FDA concerns about the drug did not announce is that these adverse events were generated from tens of millions of patient uses of hydroxychloroquine for long periods of time, often for the chronic treatment of lupus or rheumatoid arthritis.
- The harms are minuscule compared to the mortality occurring right now in inadequately treated high-risk COVID-19 patients.
Dr. Harvey Risch, an epidemiology professor at Yale School of Public Health, said on Tuesday that he thinks hydroxychloroquine could save 75,000 to 100,000 lives if the drug is widely used to treat coronavirus.
“There are many doctors that I’ve gotten hostile remarks about saying that all the evidence is bad for it and, in fact, that is not true at all,” Risch told “Ingraham Angle,” adding that he believes the drug can be used as a “prophylactic” for front-line workers, as other countries like India have done.
Risch lamented that a “propaganda war” is being waged against the use of the drug for political purposes, not based on “medical facts.”
Researchers at the Henry Ford Health System in Southeast Michigan have found that early administration of hydroxychloroquine makes hospitalized patients substantially less likely to die.
The really concerning thing is that if all the deaths taking place during lockdown are put down as Covid-19 deaths, we are going to miss the fact that the lockdown policies have caused an increase in deaths from many other things. There has been a 50 per cent reduction in people turning up to A&E. It is clear that people just do not want to bother the doctors. And a number of these people will be dying. If we muddle the Covid-19 statistics in with the other statistics, we might think the lockdown has prevented a certain number of deaths, when it has actually caused a large number of deaths.
You hear this idea that all NHS staff have been working 20 times as hard as they have ever done. This is complete nonsense. An awful lot of people have been standing around wondering what the hell to do with themselves. A&E has never been so quiet.
The chances of children dying from COVID-19:
How many people aged 15 or under have died of Covid-19? Four. The chance of dying from a lightning strike is one in 700,000. The chance of dying of Covid-19 in that age group is one in 3.5million. And we locked them all down. Even among the 15- to 44-year-olds, the death rate is very low and the vast majority of deaths have been people who had significant underlying health conditions. We locked them down as well. We locked down the population that had virtually zero risk of getting any serious problems from the disease, and then spread it wildly among the highly vulnerable age group.
It is not clear that getting the virus actually makes you immune to it in the future, and it is not clear a vaccine would either.
Prolonged periods of lockdown cocooning the public from germs could leave people dangerously vulnerable to new viruses, a leading epidemiologist has warned.
Sunetra Gupta, professor of theoretical epidemiology at the University of Oxford, fears intense social distancing could actually weaken immune systems because people are not exposed to germs and so do not develop defences that could protect them against future pandemics.
Part 1: Exponential Growth is Terrifying
Part 2: Curve Fitting for Understanding
Part 3: COVID19 Never Grows Exponentially
Although R0 might appear to be a simple measure that can be used to determine infectious disease transmission dynamics and the threats that new outbreaks pose to the public health, the definition, calculation, and interpretation of R0 are anything but simple. R0 remains a valuable epidemiologic concept, but the expanded use of R0 in both the scientific literature and the popular press appears to have enabled some misunderstandings to propagate. R0 is an estimate of contagiousness that is a function of human behavior and biological characteristics of pathogens. R0 is not a measure of the severity of an infectious disease or the rapidity of a pathogen’s spread through a population. R0 values are nearly always estimated from mathematical models, and the estimated values are dependent on numerous decisions made in the modeling process. The contagiousness of different historic, emerging, and reemerging infectious agents cannot be fairly compared without recalculating R0 with the same modeling assumptions. Some of the R0 values commonly reported in the literature for past epidemics might not be valid for outbreaks of the same infectious disease today.
R0 can be misrepresented, misinterpreted, and misapplied in a variety of ways that distort the metric’s true meaning and value. Because of these various sources of confusion, R0 must be applied and discussed with caution in research and practice. This epidemiologic construct will only remain valuable and relevant when used and interpreted correctly.
Don’t Forget The Bubbles — a blog for medical professionals specializing in pediatrics — partnered with the UK Royal College of Pediatrics and Child Health to track and review studies on COVID-19 in children, according to its website. Using research from 78 of those studies, it released a 45-page report on April 22 that extracts early findings on the epidemiology, transmission and symptoms of the coronavirus in children.
The role of children in transmission is unclear, but it seems likely they do not play a significant role.
Johan Giesecke, a state epidemiologist who advises the World Health Organisation, said the UK’s death toll suggested instating harsh social restrictions was not the best method of tackling the pandemic.