Combined with other studies, these data indicate that vaccinated and unvaccinated individuals infected with the Delta variant might transmit infection. Importantly, we show that infectious SARS-CoV-2 is frequently found even in vaccinated persons when specimen Ct values are low.
Note: Commentary on this document by Dr. Naomi Wolf can be found here: FDA document admits “covid” PCR test was developed without isolated covid samples for test calibration, effectively admitting it’s testing something else
Since no quantified virus isolates of the 2019-nCoV were available for CDC use at the time the test was developed and this study conducted, assays designed for detection of the 2019-nCoV RNA were tested with characterized stocks of in vitro transcribed full length RNA (N gene; GenBank accession: MN908947.2) of known titer (RNA copies/µL) spiked into a diluent consisting of a suspension of human A549 cells and viral transport medium (VTM) to mimic clinical specimen.
Dr Bauer of the Francis Crick Institute explains that the Pfizer vaccine produces 5-6 times fewer neutralising antibodies that play a key role in protecting us from the Indian variant. He suggests that booster Pfizer jabs will be essential.
Levels of antibodies in the blood of vaccinated people that are able to recognise and fight the new SARS-CoV-2 Delta variant first discovered in India (B.1.617.2) are on average lower than those against previously circulating variants in the UK, according to new laboratory data from the Francis Crick Institute and the National Institute for Health Research (NIHR) UCLH Biomedical Research Centre, published today (Thursday) as a Research letter in The Lancet.
The results also show that levels of these antibodies are lower with increasing age and that levels decline over time, providing additional evidence in support of plans to deliver a vaccination boost to vulnerable people in the Autumn.
In the case of single-dose recipients, our data show that NAbTs are significantly lower against B.1.617.2 and B.1.351 VOCs relative to B.1.1.7, implying that although a single dose might still afford considerably more protection than no vaccination, single-dose recipients are likely to be less protected against these SARS-CoV-2 variants. These data therefore suggest that the benefits of delaying the second dose, in terms of wider population coverage and increased individual NAbTs after the second dose,7 must now be weighed against decreased efficacy in the short-term, in the context of the spread of B.1.617.2. Worldwide, our data highlight the ongoing need to increase vaccine supply to allow all countries to extend second-dose protection as quickly as possible.
In the longer term, we note that both increased age and time since the second dose of BNT162b2 significantly correlate with decreased NAb activity against B.1.617.2 and B.1.351—both of which are also characteristic of the population in the UK at highest risk of severe COVID-19 (ie, older and vaccinated earlier), independent of other existing factors such as compromised immune status or comorbidity, or geographic-specific responses to vaccination.
The CDC has put new policies in place which effectively created a tiered system of diagnosis. Meaning, from now on, unvaccinated people will find it much easier to be diagnosed with Covid19 than vaccinated people.
Person A has not been vaccinated. They test positive for Covid using a PCR test at 40 cycles and, despite having no symptoms, they are officially a “covid case”.
Person B has been vaccinated. They test positive at 28 cycles, and spend six weeks bedridden with a high fever. Because they never went into a hospital and didn’t die they are NOT a Covid case.
Person C, who was also vaccinated, did die. After weeks in hospital with a high fever and respiratory problems. Only their positive PCR test was 29 cycles, so they’re not officially a Covid case either.
We identified virtually no evidence for mass screening of asymptomatic individuals using rapid antigen tests in people with no known exposure. A small study screening travellers returning from high‐risk countries (Cerutti 2020), identified only five SARS‐CoV‐2 infections (prevalence of 3%) with a reported sensitivity of antigen testing for detecting infection of 40%. However, important larger studies have been published since the end of our search, as mentioned above.
Scientists are trying to work out why coronavirus cases in India are falling when at one point it looked like the country might overtake the US as the worst-hit nation.
In September the country was reporting some 100,00 new cases per day, but that went into decline in October and is now sitting at around 10,000 per day – leaving experts struggling to explain why.
While the Indian government has been keen to put the apparent success down to its mask-wearing and social distancing laws, few believe these measures alone are responsible for the dip.
Instead, experts believe it may be down to the fact that India’s largest cities have reached herd immunity, meaning the virus has moved to rural areas where it spreads slower and where cases and deaths are far less likely to be tested and logged.
The truth is that there was never a question of whether this Government would impose another lockdown on the UK in 2021. Lockdown isn’t a consequence of the failure of coronavirus-justified programmes and regulations: it’s the product of their success in implementing the UK biosecurity state. After a brief summer recess under the system of tiered restrictions, the following winter will see the lockdown of the UK imposed again under newly notifiable diseases from new viruses and new strains, new protocols for certification and new criteria for deaths, the new medical categorisation of new cases which, like the present ones, present little or no threat to public health, but which like it will be used to enforce new technologies, new programmes and new regulations. This is the ‘New Normal’ we were promised, and it’s being built on a foundation of lies, damned lies and statistics.
Ivor Cummins aka the Fat Emperor – gives James the lowdown on why you can’t trust anything our governments tell us about Covid-19. If you want the facts on Coronavirus – how deadly is it? do lockdowns and masks work? how does it compare with previous pandemics? – you’ve come to the right place
Please support the Delingpod:
Mirror archives are available below if this video is removed from YouTube.
The unprecedented measures of universal lockdowns, tight institutional lockdowns of care homes, universal masking of the general population, obsession with surfaces and hands, and the accelerated vaccine deployment are contrary to known science, and contrary to recent leading studies. There has been government recklessness by action and negligence by omission. Institutional measures have been needed for a long time to stem corruption in both medicine and public health policy.
The question is whether lockdowns worked to control the virus in a way that is scientifically verifiable. Based on the following studies, the answer is no and for a variety of reasons: bad data, no correlations, no causal demonstration, anomalous exceptions, and so on. There is no relationship between lockdowns (or whatever else people want to call them to mask their true nature) and virus control.
Perhaps this is a shocking revelation, given that universal social and economic controls are becoming the new orthodoxy. In a saner world, the burden of proof really should belong to the lockdowners, since it is they who overthrew 100 years of public-health wisdom and replaced it with an untested, top-down imposition on freedom and human rights. They never accepted that burden. They took it as axiomatic that a virus could be intimidated and frightened by credentials, edicts, speeches, and masked gendarmes.
The pro-lockdown evidence is shockingly thin, and based largely on comparing real-world outcomes against dire computer-generated forecasts derived from empirically untested models, and then merely positing that stringencies and “nonpharmaceutical interventions” account for the difference between the fictionalized vs. the real outcome. The anti-lockdown studies, on the other hand, are evidence-based, robust, and thorough, grappling with the data we have (with all its flaws) and looking at the results in light of controls on the population.
The PCR verdict cannot tell these individuals whether they need to self-isolate or whether they might need treatment – the things that really matter to them and society.
n some cases, for example, viral RNA might be present in such very low quantities that an individual is not at all infectious and poses zero danger. In other cases, the swabs might pick up RNA which is so old it is completely dead, as people continue shedding material from the virus up to 80 days after the initial infection.
I believe these people are testing positive time and time again.
Young children account for only a small percentage of COVID-19 infections — a trend that has puzzled scientists. Now, a growing body of evidence suggests why: kids’ immune systems seem better equipped to eliminate SARS-CoV-2 than are adults’.
“Children are very much adapted to respond — and very well equipped to respond — to new viruses,” says Donna Farber, an immunologist at Columbia University in New York City. Even when they are infected with SARS-CoV-2, children are most likely to experience mild or asymptomatic illness.
Another clue that children’s response to the virus differs from that of adults is that some children develop COVID-19 symptoms and antibodies specific to SARS-CoV-2 but never test positive for the virus on a standard RT-PCR test. In one study, three children under ten from the same family developed SARS-CoV-2 antibodies — and two of them even experienced mild symptoms — but none tested positive on RT-PCR, despite being tested 11 times over 28 days while in close contact with their parents, who had tested positive.
WHO has received user feedback on an elevated risk for false SARS-CoV-2 results when testing specimens using RT-PCR reagents on open systems.
As with any diagnostic procedure, the positive and negative predictive values for the product in a given testing population are important to note. As the positivity rate for SARS-CoV-2 decreases, the positive predictive value also decreases. This means that the probability that a person who has a positive result (SARS-CoV-2 detected) is truly infected with SARS-CoV-2 decreases as positivity rate decreases, irrespective of the assay specificity. Therefore, healthcare providers are encouraged to take into consideration testing results along with clinical signs and symptoms, confirmed status of any contacts, etc.
Professor Bhakdi’s videos have been censored in the past. A backup mirror can be viewed below if the YouTube video is offline.
And that, ladies and gentlemen, is why PCR positive cases are a very poor indicator of how prevalent covid is in the population, and why we should instead be basing decisions on the rates of hospitalization, ICU admission, and death. If we just look at the PCR tests, we will continue to believe that the disease is widespread in the population indefinitely, even as it becomes less and less common in reality. And that is assuming the rate of testing doesn’t increase. If we combine this built-in problem with accuracy, with a massive increase in testing (as has happened in most countries over the course of the pandemic), then we can create the impression of a disease that is continuing to spread wildly through a population, even when it isn’t.
In the interest of public debate, we allow visitors to share opinions, experiences and research that may be of value to others. This is a visitor contribution from our Discussions page.
The views expressed are those of the individual posters themselves. Please read our Comments and contributions disclaimer.
- Credentials: Physics graduate, University College London (UCL); Senior Research Analyst
- Contact: LinkedIn
The SARS-CoV-2 Pandemic
The COVID-19 pandemic has impacted the world at a horrific scale, and people are trying to form their own opinions — rightly so — on topics ranging from disease severity to government policy. However, the general public are not exposed to a consistent flow of reliable information, so many are suffering from fear, confusion, and isolation, exacerbated by extreme differences in opinion on how seriously any aspect of the pandemic should be taken. These are the problems that this report aims to address.
Read the full article on Medium: The SARS-CoV-2 Pandemic
- 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.