A young man fell to the ground due to a collapsed lung after running two-and-a-half miles while wearing a face mask.
Doctors say his condition was caused by the high pressure on the man’s organ, due to his intense breathing while wearing the face covering…
Doctors say Mr Zhang had a spontaneous pneumothorax, which are more likely to occur with people who have asthma, cystic fibrosis or pneumonia.
- There is no scientific evidence that masks are effective in reducing the risk of SARS-CoV-2 transmission.
- Sweeping mask recommendations will not reduce SARS-CoV-2 transmission, as evidenced by the widespread practice of wearing such masks in Hubei province, China.
- Cloth masks will be ineffective at preventing SARS-CoV-2 transmission, whether worn as source control or as PPE.
- Surgical masks likely have some utility as source control from a symptomatic patient in a healthcare setting to stop the spread of large cough particles and limit the lateral dispersion of cough particles.
- Surgical masks may also have very limited utility as source control or PPE in households.
- Authors do not know whether respirators are an effective intervention as source control for the public.
- A non-fit-tested respirator may not offer any better protection than a surgical mask.
- Respirators work as PPE only when they are the right size and have been fit-tested to demonstrate they achieve an adequate protection factor.
- There is no evidence to support use of cloth masks by the public or healthcare workers to control the emission of particles from the wearer.
- Wearing surgical masks in households appears to have very little impact on transmission of respiratory disease.
- There is no evidence that surgical masks worn by healthcare workers are effective at limiting the emission of small particles or in preventing contamination of wounds during surgery.
- There is moderate evidence that surgical masks worn by patients in healthcare settings can lower the emission of large particles generated during coughing and limited evidence that small particle emission may also be reduced.
- Data from laboratory studies indicate masks offer very low filter collection efficiency for the smaller particles.
- The authors were unable to locate any well-performed studies of cloth mask leakage when worn on the face—either inward or outward leakage.
- Many references to coverings employ very crude, non-standardized methods or are not relevant to cloth face coverings because they evaluate respirators or surgical masks.
- The National Academies of Sciences Rapid Expert Consultation on the Effectiveness of Fabric Masks for the COVID-19 Pandemic: “The evidence from…laboratory filtration studies suggests that such fabric masks may reduce the transmission of larger respiratory droplets. There is little evidence regarding the transmission of small aerosolized particulates of the size potentially exhaled by asymptomatic or presymptomatic individuals with COVID-19.”
- Authors concerned that many people do not understand the very limited degree of protection a cloth mask or face covering likely offers as source control for people located nearby.
- Cloth masks and face coverings likely do not offer the same degree of protection as physical distancing, isolation, or limiting personal contact time.
- Transmission is not simply a function of short random interactions between individuals, but rather a function of particle concentration in the air and the time exposed to that concentration.
- A cloth mask or face covering does very little to prevent the emission or inhalation of small particles.
The authors of the commentary, titled “COVID-19 Transmission and Children: The Child Is Not to Blame,” base their conclusions on a new study published in the current issue of Pediatrics, “COVID-19 in Children and the Dynamics of Infection in Families,” and four other recent studies that examine Covid-19 transmission by and among children.
The Recovery trial has steadfastly ignored Professor Didier Raoult and a string of countries that have implemented his protocol, early use of HCQ with Azythromycin in safe doses, despite the fact that, after treating 3,737 patients — the single largest study in the world —Raoult has lost only 0.6 per cent, while Horby and Landray are presiding over carnage —a fatality rate of 25 per cent.
- The Recovery trial has steadfastly ignored Professor Didier Raoult in the early use of HCQ with Azythromycin in safe doses.
- Raoult has lost only 0.6 per cent, while Horby and Landray are presiding over carnage —a fatality rate of 25 per cent.
- Landray admitted to an investigative journalist at FranceSoir ‘these are quite high doses to… have a chance of killing the virus.’ Or killing the patient.
- Recovery is not the only trial delivering dangerously elevated doses of HCQ to Covid patients. Dosage in the international Solidarity trial was four times greater than the dose being used in India.
- WHO has been working for years with Gilead Sciences trying to get the pharmaceutical company’s lacklustre drug Remdesivir to show efficacy at curing first Ebola, with poor results, and now Covid-19.
- Landray revealed Gilead pays scientists 20 to 50 times more to conduct a clinical trial than Horby and Landray were paid to conduct the Recovery trial.
- Horby is the executive director of the International Severe Acute Respiratory and Emerging Infection Consortium which received 4.5 million pounds for research into vaccines.
- Horby established the Epidemic Research Group which is promised up to 14 million pounds from AstraZeneca and Zuckerberg/Chan of Facebook fame for the development of a Covid-19 vaccine which is being trialled by Oxford University.
- AstraZeneca is interested in merging with Gilead Sciences, which, if it went through, would create the biggest Big Pharma ever.
- Horby and Landray have announced that dexamethasone, a low-cost steroid which is also being tested has reduced the mortality rate of Covid-19 patients on ventilators from a scandalous 41 per cent to a still appalling 32 per cent.
- Raoult has pointed out that in his hospital, of the 0.6 per cent who die, a mere 16 per cent were in ICU
- In Britain, where almost 42,000 people have died of Covid, the only thing randomised, controlled trials have achieved, is to blind people to the evidence that 40,000 of those deaths could have been avoided.
- Far from following the science, the government turned its back on all available data.
- Until mid-April, with the escalating deaths in care homes agonisingly clear across Europe, government policy was still for patients to be discharged to care homes from hospitals without requiring negative tests. And so the toll: around half of UK Covid-19 deaths are care home residents, despite them accounting for only 0.6 per cent of our population.
- Germany, whose population is roughly 25 per cent bigger than ours, has suffered approximately a quarter of our Covid deaths.
- Ministers have deferred to scientists who themselves deferred to the projections of models, even when data on the ground told a completely different story.
- Statisticians on social media had a field day pointing out the chasm between modelled outcomes and reality, but it is not clear that the models on which SAGE relied (both their input parameters and mechanical dynamics) were continually refined with on-the-ground data (or simply discarded as wrong).
- Why weren’t Oxford’s team, who specialise in zoonotic viruses and who looked at the same data as Neil Ferguson’s modelling-led team but came to wildly different conclusions, on SAGE’s panel to provide an alternative view?
- Why were there no economists on SAGE? Economics is not the bloodless pursuit of money but the science of decision-making under uncertainty where resources are finite; could they really have brought nothing to the party?
- In mid-March, Stanford’s Nobel laureate Michael Levitt (biophysicist and professor of structural biology) discussed the “natural experiment” of the Diamond Princess cruise ship, a petridish disproportionately filled with the most susceptible age and health groups. Even here, despite the virus spreading uncontrolled onboard for at least two weeks, infection only reached a minority of passengers and crew.
- The data towards the end of March clearly showed we were already near the tipping point of the bell-curve (meaning the disease is on the wane). We were already past the point where lockdown could have made much difference.
- Knut Wittkowski: “respiratory diseases [including Covid-19] . . . remain only about two months in any given population”.
Swarms of accounts are amplifying Beijing’s brash new messaging as the country tries to shape the global narrative about the coronavirus and much else.
Interview notes below the embedded video.
Dr. Wodarg is reassuring for anyone concerned about ‘the virus’. That danger is no greater than in any other flu season (now also based on tens of international leading scientists analyzing actual figures from all over the world). Wodarg’s message is disturbing when you wonder how the whole world can be fooled by such a clearly fact-free ‘panic’ allowing itself to be led to the curtailment of the most fundamental freedoms. A world that thinks it has to prepare itself for a ‘new normal’. In which incredibly dangerous and extremely undesirable ’solutions’ such as ‘mass vaccination’, ‘contact tracing’, and other ‘surveillance’ are seen as attractive.
- Coronaviruses are very common so no-one was interested in them until recently as they’re well studies. COVID-19 ‘is not very special’.
- China ‘solved’ its epidemic by stopping tests.
- Why Italy had a high death rate.
- The effect of hydroxychloroquine on people with certain genetic deficiencies.
- Conflicts of interests and financial incentives for testing.
- We never get herd immunity from coronaviruses.
- We don’t need herd immunity for coronaviruses. They will ‘hitchhike’ for a period of time and then switch hosts species.
- It’s very difficult to quarantine people for respiratory viruses; the COVID-19 had already spread so the lockdown was nonsense.
- The historical data does not show COVID-19 being a severe disease.
- EuroMOMO data is not transparent. Dr. Wodarg has become very skeptical about the EuroMOMO statistics.
- If we are observing the virus, there should be no difference between the countries’ charts. (Mathematician Andrew Mather has made similar observations in his videos.)
- There are so many factors that affect mortality rates but there is no serious discussion.
- Perhaps people are being killed by experimental treatment. WHO show 1,200 trials worldwide for clinical trials. There may be irregularities.
- Possible attempt to use deaths Africa to spread more fear.
- Observational studies as a way to bribe doctors and market drugs.
- The side-effects of drugs used in Italy and Spain.
- Watch what will happen in Africa.
- The reaction to COVID-19 is politics and has nothing to do with medicine.
- Raising the possibility of immunity passports.
- German health minister is a lobbyist for the pharmaceutical industry.
- Data from contact tracing apps is ‘gold’ for the pharmaceutical industry.
- The influence of Bill & Melinda Gates foundation and the WHO in the negotiation in vaccine contracts. Only Polish Minister for Health resisted.
- Don’t accept the RNA vaccine, which is a new method and has been developed in a very short time. There is no experience with RNA vaccine for infectious diseases.
- ‘Bill Gates is crazy.’ How can someone promote the vaccination of the planet with a vaccine developed in 1 1/2 years. It has not even been controlled for cancer. You need at least 5 years to see if a cancer grows. If you change RNA, you don’t know.
- RNA vaccines require very thorough clinical studies over a long period of time. There are many complications to consider.
- Politicians always strive for power. We as a people have to show them how they get power and how they lose it.
With a purely statistical perspective, [Prof Michael Levitt] has been playing close attention to the Covid-19 pandemic since January, when most of us were not even aware of it. He first spoke out in early February, when through analysing the numbers of cases and deaths in Hubei province he predicted with remarkable accuracy that the epidemic in that province would top out at around 3,250 deaths.
Covid-19: four fifths of cases are asymptomatic, China figures indicate:
British epidemiologist Tom Jefferson tells the BMJ, “The sample [evidence from China] is small, and more data will become available. Also, it’s not clear exactly how these cases were identified. But let’s just say they are generalisable. And even if they are 10% out, then this suggests the virus is everywhere. If—and I stress, if—the results are representative, then we have to ask, ‘What the hell are we locking down for?”
Tom Jefferson, is an epidemiologist at the Cochrane Acute Respiratory Infections (ARI) Group and writes for thebmjopinion.
School closure and management practices during coronavirus outbreaks including COVID-19: a rapid systematic review:
Summary from BBC News:
- While school closures help during influenza outbreaks, the same may not apply to coronavirus
- Data from the Sars outbreak (in mainland China, Hong Kong, and Singapore) suggest that school closures did not contribute to the control of the epidemic
- Recent modelling studies of Covid-19 predict that school closures alone would prevent only 2%-4% of deaths, many fewer than other social distancing interventions
Dr. Wolfgang Wodarg, an epidemiologist and lung disease specialist, explains coronavirus testing.