The scientific literature and publishing scientists have been rapidly and massively infected by COVID-19 creating opportunities and challenges. There is evidence for hyper-prolific productivity.
Results While model 1 found that lockdown was the most effective measure in the original 11 countries, model 2 showed that lockdown had little or no benefit as it was typically introduced at a point when the time-varying reproductive number was already very low. Model 3 found that the simple banning of public events was beneficial, while lockdown had no consistent impact. Based on Bayesian metrics, model 2 was better supported by the data than either model 1 or model 3 for both time horizons.
Conclusions Inferences on effects of NPIs are non-robust and highly sensitive to model specification. Claimed benefits of lockdown appear grossly exaggerated.
- We have experience of SARS in 2003 and MERS in 2012, while in the UK there are at least four known strains of coronavirus which cause the common cold.
- Many individuals who’ve been infected by other coronaviruses have immunity to closely related ones such as the Covid-19 virus.
- Multiple research groups in Europe and the US have shown that around 30 per cent of the population was likely already immune to Covid-19 before the virus arrived – something which Sage continues to ignore.
- Prof. John Ioannidis, professor of epidemiology at Stanford University in California, have concluded that the mortality rate is closer to 0.2 per cent – 1 in 500 infected die.
- Around 45,000 Covid deaths in the UK
- Approximately 22.5million people have been infected – 33.5 per cent of our population – not Sage’s 7 per cent calculation.
- Not every infected individual produces antibodies.
- The human immune system has several lines of defence:
- Innate immunity which is comprised of the body’s physical barriers to infection and protective secretions (the skin and its oils, the cough reflex, tears etc);
- Inflammatory response (to localise and minimise infection and injury), and the production of non-specific cells (phagocytes) that target an invading virus/bacterium.
- Antibodies that protect against a specific virus or bacterium (and confer immunity) and T-cells (a type of white blood cell) that are also specific.
- T-cells that are crucial in our body’s response to respiratory viruses such as Covid-19.
- World Health Organisation says 750million people have been infected by the virus as of October and almost none have been reinfected.
- Mortality in 2020 so far ranks eighth out of the last 27 years.
- The death rate at present is also normal for the time of year – the number of respiratory deaths is actually low for late October.
- Not only is the virus less dangerous than we are being led to believe, with almost three quarters of the population at no risk of infection.
- I am convinced this so-called second wave of rising infections and, sadly, deaths will fizzle out without overwhelming the NHS.
- 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.
I included 61 studies (74 estimates) and eight preliminary national estimates. Seroprevalence estimates ranged from 0.02% to 53.40%. Infection fatality rates ranged from 0.00% to 1.63%, corrected values from 0.00% to 1.54%. Across 51 locations, the median COVID-19 infection fatality rate was 0.27% (corrected 0.23%): the rate was 0.09% in locations with COVID-19 population mortality rates less than the global average (< 118 deaths/million), 0.20% in locations with 118–500 COVID-19 deaths/million people and 0.57% in locations with > 500 COVID-19 deaths/million people. In people < 70 years, infection fatality rates ranged from 0.00% to 0.31% with crude and corrected medians of 0.05%.
The infection fatality rate of COVID-19 can vary substantially across different locations and this may reflect differences in population age structure and case-mix of infected and deceased patients and other factors. The inferred infection fatality rates tended to be much lower than estimates made earlier in the pandemic.
- As of October 2020, there are >1 million documented deaths with COVID‐19.
- Many early deaths may have been due to suboptimal management, malfunctional health systems, hydroxychloroquine, sending COVID‐19 patients to nursing homes, and nosocomial infections; such deaths are partially avoidable moving forward.
- About 10% of the global population may be infected by October 2020.
- Global infection fatality rate is 0.15‐0.20%
- Global infection fatality rate in those younger than 70 years old is 0.03‐0.04%.
- Targeted, precise management of the pandemic and avoiding past mistakes would help minimize mortality.
Many clinical research studies, even in the major general medical journals, do not satisfy the identifiable features that make them useful. These features include:
- problem base;
- context placement;
- information gain;
- patient centeredness;
- value for money;
Most clinical research findings false. Further, most of the true findings do not result in huge human benefit. Reform and improvement in the clinical research are overdue.
See also: Peer review: a flawed process at the heart of science and journals by Richard Smith at the Journal of the Royal Society of Medicine
Quoted summary points
Blue-sky research cannot be easily judged on the basis of practical impact, but clinical research is different and should be useful. It should make a difference for health and disease outcomes or should be undertaken with that as a realistic prospect.
Many of the features that make clinical research useful can be identified, including those relating to problem base, context placement, information gain, pragmatism, patient centeredness, value for money, feasibility, and transparency.
Many studies, even in the major general medical journals, do not satisfy these features, and very few studies satisfy most or all of them. Most clinical research therefore fails to be useful not because of its findings but because of its design.
The forces driving the production and dissemination of nonuseful clinical research are largely identifiable and modifiable.
Reform is needed. Altering our approach could easily produce more clinical research that is useful, at the same or even at a massively reduced cost.
Stanford University study founds antibodies in 50 to 85 times more people than previously thought in Santa Clara County, California. Covid-19 lethality of 0.12% to 0.2% which is in the range of severe influenza.
CONCLUSIONS: People <65 years old have very small risks of COVID-19 death even in pandemic epicenters and deaths for people <65 years without underlying predisposing conditions are remarkably uncommon. Strategies focusing specifically on protecting high-risk elderly individuals should be considered in managing the pandemic.
COVID-19 is largely harmless to the general population under 65 with no pre-existing conditions, who are more likely to die in a road accident.
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- 00:50-Dr. Ioannidis summarizes his article titled “A fiasco in the making? As the coronavirus pandemic takes hold, we are making decisions without reliable data” (linked below)
- 03:47-The truth about COVID-19’s death rate
- 06:21-What makes COVID-19 different than the Swine Flu 08:43-How do we get accurate data on COVID-19?
- 09:47-The Diamond Princess Cruise Quarantine
- 15:12-Should everyone be tested?
- 16:47-Italy & COVID-19
- 23:06-Is self-isolation the best cure?
- 27:06-Medical supplies shortage in New York
- 29:48-But wait, what is a coronavirus?
- 34:00-What is this pandemic’s outcome? 36:26-Identifying COVID-19 cases
- 38:59-Why is COVID-19 putting a stress on the medical system?
- 41:22-The “New Normal” in the face of COVID-19
- 43:36-Is the cure worse than the disease?
- 46:55-Are we over-preparing for the affects of COVID-19?
- 47:55-The role of politics in the United States’ COVID-19 response
- 49:23-Are the current isolation orders creating a bigger problem?
- 52:20-High risk populations
- 53:39-Biases in our COVID-19 response
- 56:11-The World Health Organization’s role
- 57:40-What can we learn from this pandemic?
- 1:01:33-How long will the COVID-19 lockdown last?