Persons who are diagnosed with influenza…should remain at home until the fever is resolved for 24 hours…and the cough is resolving to avoid exposing other members of the public. If such symptomatic persons cannot stay home during the acute phase of their illness, consideration should be given to having them wear a mask in public places when they may have close contact with other persons.
No recommendation can be made at this time for mask use in the community by asymptomatic persons, including those at high risk for complications, to prevent exposure to influenza viruses.
The study, published in JAMA, found that surgical masks were as effective as N95 respirators at preventing the flu, which is to say, not all that effective because, of the 446 nurses who took part in this study, nearly one in four (24%) in the surgical mask group still got the flu as did 23% of those who wore the N95 respirator. And, because both groups wore masks, it’s impossible to say how they would have fared compared with not wearing a mask at all.
Basically, there is no strong evidence to support well people wearing surgical masks in public. Or as the US Centers for Disease Control and Prevention put it: “No recommendation can be made at this time for mask use in the community by asymptomatic persons, including those at high risk for complications, to prevent exposure to influenza viruses.”
The best thing you can do to stop getting the flu is to regularly wash your hands, and try to avoid touching your face.
Britain could have been hit harder by Covid-19 than other European nations because the past two winter flu outbreaks have only been mild, according to a study.
Researchers say influenza kills the same groups of people as the coronavirus, with both illnesses posing the greatest danger to the elderly and those with underlying conditions.
Public Health England statistics show around 20,000 excess deaths – those of any cause that happen above average – occur from influenza each year.
But only 1,700 extra fatalities were recorded during the 2018/19 outbreak, said lead author Dr Chris Hope who claimed data showed the 2019/20 season was also ‘very mild’.
It means more than 30,000 people in England alone were alive at the start of the Covid-19 pandemic who would have been expected to die in the previous two flu seasons.
We have already developed herd immunity to COVID-19 and will continue to manage it through herd immunity.
Flu is much more dangerous than COVID-19.
COVID-19 will settle into an endemic state just like flu.
Hopefully vaccines will be important in protecting the vulnerable.
Another way to protect the vulnerable sector is to allow the population to develop natural immunity.
There’s no reason to think the virus will mutate into a lower level of virulence.
During the 1918 flu because of a large number of ‘immunologically naive’ individuals but this is not the case with COVID-19.
Most of us have some degree of coronavirus immunity and therefore some protection to COVID-19.
The current H1 influenza strain is antigenically identical to the 1918 flu. H1 flu doesn’t kill as many people as the 1918 flu because most people already have cross immunity.
The death rate from COVID-19 (coronavirus) in Europe appears to be linked to low-intensity flu seasons in the past two years as the same people are vulnerable, says a working paper by Dr Chris Hope, Emeritus Reader in Policy Modelling at Cambridge Judge Business School.
“90 percent or more of SARS-CoV-2 virus will be inactivated after being exposed [to summer sun] for 11 to 34 minutes.”
Using a model developed for estimating solar inactivation of viruses of biodefense concerns, we calculated the expected inactivation of SARS-CoV-2 virus, cause of COVID-19 pandemic, by artificial UVC and by solar ultraviolet radiation in several cities of the world during different times of the year. The UV sensitivity estimated here for SARS-CoV-2 is compared with those reported for other ssRNA viruses, including influenza A virus. The results indicate that SARS-CoV-2 aerosolized from infected patients and deposited on surfaces could remain infectious outdoors for considerable time during the winter in many temperate-zone cities, with continued risk for re-aerosolization and human infection. Conversely, the presented data indicate that SARS-CoV-2 should be inactivated relatively fast (faster than influenza A) during summer in many populous cities of the world, indicating that sunlight should have a role in the occurrence, spread rate, and duration of coronavirus pandemics.
The difference between what the government was telling us and what their information was telling us was so extreme and outrageous.
Exponential means a “constant rate of growth.” The government data in March was clearly showing that the COVID-19 was declining, not growing exponentially. This was the same in all countries you could see the data. [See chart 1]
A constantly declining growth rate will make a bell curve. The government were standing in front of bell curve graphs during their briefings yet they were telling us we were in the middle of the epidemic.
It was very clear that we were heading to a peak sometime around early to mid-April.
You don’t have to be complicated mathematics to see that COVID-19 was running out of steam almost from day one.
The conclusion from the Centre for Evidence-Based Medicine seems to be that it’s impossible to predict if there will be a second wave.
Sweden’s epidemic looks identical to the UK’s but they did not lockdown. Their datapoint indicates there won’t be a second wave. There has been no spike in Denmark either. [See chart 2]
Unknowns: has summer affected COVID-19 and will there be a mutation?
Will illnesses during the autumn and winter be mis-attributed to COVID-19? Poor media coverage means that we can’t be sure.
Symptoms of COVID-19 are very similar to the flu. Something could look like a second wave but will we really know?
The lockdown is costing a Brexit bill a week.
The government response seems to have been skewed by Neil Ferguson’s modelling data. The make-up of government advisors seems to be a recipe for groupthink, which is very dangerous.
Epidemiology (the way a disease spreads through the population) is not complicated science. The government could have had lots of people who were very good at this but they didn’t.
We should have cocooned the vulnerable, make sure the NHS has capacity and “let it rip” through the population.
We should never have had an open-ended lockdown.
The ‘R number’ is just the difference of in the number of people infected after each generation of a disease. Britain crossed the ‘magical R of 1’ line a few days before lockdown and the same day as Sweden. Whatever interventions have been done doesn’t seem to have had any effect. [See chart 3]
COVID-19 is mostly a care home and hospital disease. This was obvious very early on. Old people should not have been moved from hospitals into care homes. It seems as if we knowingly seeded the most vulnerable environment with the disease.
37% of our deaths are care home residents but they are only 0.5% of our population. Of them are dementia sufferers.
Over 20% of the infections were picked up in the hospitals. COVID-19 seems more like MRSA than influenza in that it’s an infection control problem.
COVID-19 is much more comparable to flu for the rest of the population.
1968 flu killed 80,000 people in the UK.
This last winter was a low flu winter. It’s quite possible that the people who died of COVID-19 are those who didn’t die.
If you overlay COVID-19 deaths with the 2000 flu season, they look very similar. [See chart 4]
95% of deaths have had another serious disease. Most people have almost no chance of dying from COVID-19.
If you are under 40, you have more chance of being struck by lightning that dying of COVID-19.
If you are under 60, you have more chance of drowning.
At any age, you have more chance of dying on the roads than dying of COVID-19.
Lead indicators of 111 and 999 calls with COVID-19 symptoms show there was no spike after VE Day celebrations or BLM protests. In fact, it was even coming down at lockdown. That lockdown was big change for COVID-19 is invisible in the data. [See chart 5]
Charts
Chart 1: COVID-19 was declining in Europe as of march. It was not growing exponentially
Chart 2: Sweden’s epidemic looks similar to the UK’s but they did not lock down.
Sweden has had fewer covid deaths per capita than Belgium, Spain, Italy or the UK, and its children <16 have missed no school. @AlistairHaimes, 17 June 2020
Chart 3: Britain crossed the ‘magical R of 1’ line a few days before lockdown
UK Rt (“R number”), late Feb to early April. Lockdown did the square root of nothing. Hand-washing advice early March does look to have caused a massive drop in R, as you’d expect. @AlistairHaimes, 5 May 2020
Chart 4: COVID-19 deaths overlayed with the 2000 flu season
If covid deaths had happened in winter rather than spring. Shown against two recent moderately bad influenza years, for comparison. @AlistairHaimes, 23 June 2020
Researchers found school closures had little effect on preventing coronavirus transmission compared to that of the flu.
Under-20s are half as likely to catch COVID-19 as over-20s, making school closures less effective at stopping the spread of the virus, a new scientific study has found.
Researchers at the London School of Hygiene and Tropical Medicine found that susceptibility to the coronavirus was low for younger people, before increasing around the age of 20.
James talks with Professor Dolores Cahill, a world renowned immunologist who has advised the Irish government and the EU.
We should end the lockdown. Quarantining healthy people was a huge mistake, should never have been done and should never happen again.
All the available information tells us there’s no longer any basis for the lockdowns. The economic harm and resulting health effects could be five times higher than those caused by the virus. The adverse health implications of poverty is well-known and has lots of supporting data.
The immunology community knew in January and February that there was nothing very special about COVID-19.
There are lots of clinical trials showing the usefulness of vitamins C, D and Zinc for preventing symptoms of corona-type viruses.
It is also very well established that hydroxychloroquine, which is a very safe drug, can be used as a treatment.
There was no need to ramp up the hospital care system because there were established methods for prevention and treatment.
It was known that the virus would circulate the world in a month. Professor Cahill was surprised at the lockdown because the ‘virus was gone.’ There is clearly enough data for this.
COVID-19 (also known as SARS-CoV-2) is about 80% the same as SARS-CoV-1 in 2003. These types of viruses last about 6 weeks in each location before naturally ‘dying off’ as people become exposed and then developing immunity.
80 out of 100 people would have developed antibodies within 10-11 days and become immune for life without experiencing symptoms.
Although COVID-19 is a novel virus, it can be ‘recognized’ by the immune system of anyone who had already been exposed to SARS-CoV-1. This is because of COVID-19’s 80% similarity to the earlier 2003 virus.
With these types of viruses, you will be negative for the PCR test (which tests for the presence of the virus) after recovery but you will test positive for the antibodies.
You don’t need the lockdown if you boost your immune system. in fact, the lockdown made matters worse by depressing people’s immune system. Sunshine, interacting with people, shaking hands–all these help to boost your immune system.
Elderly people should be taking vitamin C, D and Zinc to protect their immune systems. People with underlying conditions, or those who develop symptoms, should contact their doctor to consider prescribing off-label hydroxychloroquine.
Symptoms: flu-like for the first five days. If it gets worse and you develop a cough, that’s when you need to ring your doctor for treatment. Treatment includes hydroxychloroquine for 3-5 days, with Zinc and AZT antibiotic. This is an established protocol that has been used in many clinical trials in 2020.
There was some reason to be scared of COVID-19 during the very early stages (around January) because because we didn’t know anything about it. However, the media and WHO was fearmongering when they used Wuhan as an example of what would happen everywhere.
From February onward, the immunology community recognized that COVID-19 is the same as a normal virus in most parts of the world. There was something different about Wuhan, Bergamo and New York but t here was no reason to lockdown the rest of the world.
Vaccines have their place and can be safe. However, studies show that animal and human subjects that were given a type of influenza vaccine later reacted badly when they encountered a coronavirus ‘in the wild’. The reaction caused a cytokine storm that either killed the subject or made the subject very ill. The reaction between different types of vaccinated and wild viruses is called viral interference.
People in Wuhan and Bergamo were given a certain type of influenza vaccine. It became apparent around April-May that the high death rates in both cities could be due to viral interference from the administered influenza vaccine.
It has not been possible to make a safe and effective vaccine for the SARS-CoV-1 in 2003. If we have not been able to make a vaccine for this coronavirus, we should not expect a safe vaccine for COVID-19 any time soon. A vaccine developed for COVID-19 would be a complete experiment on those who take it.
The global death rate for COVID-19 is around the same as a bad influenza. Outside of Wuhan, Bergamo and New York, the death rate appears to be less than the normal flu.
Current data shows that the real death rate for COVID-19 is 20 or 30 times less than the initial estimates from the WHO. We now know the death rate is about one in a thousand for the vulnerable and one in five thousand for the healthy. In the under 70s age range, this is lower than the average flu.
It was well-known in February that there was no need for the lockdowns.
There have been no cases of transmission from children.
If we were to end the lockdown, we would need 10 days to prepare. This is because people have not been out and exposed to sunlight. Preparation include taking vitamins C, D and Zinc; getting fresh air; avoiding stress; and making sure doctors have hydroxychloroquine.
It is almost as if the current advice is geared to making sure people get sick in order to support more lockdowns.
There will be no second spike if people take the above precautions to strengthen their immune system.
A recent study shows that people who continued working were healthy. Engaging with other keeps you healthy by strengthening the immune system.
There hasn’t been an open debate in any country about the harm versus benefits of the lockdown. This may be a big reason for why the lockdowns are continuing.
Dr. Rashid A. Buttar and Dr. Judy Mikovits are trying to open the debate about prevention and treatments but their voices are being censored.
The use of hydroxychloroquine as a treatment has been politicized.
Evidence is being cherry-picked in order reach a predetermined goal: a money-making vaccine. The existing prevention and treatment methods don’t make money for big-pharma.
Masks and social distancing is appropriate for something like ebola but not for coronaviruses.
We will build up herd immunity within about two weeks.
We know how COVID-19 is transmitted because it belongs to the family of coronaviruses. It is not transmitted through the air. This has been proven because groups of people in encloses spaces (for example, plane-loads of fruit-pickers) did not all come down with the sickness.
The two meter rule is unnecessary.
There was enough information from many sources for the government and their advisors to know that all these measures are wrong. There should be legal implications for those who advocate continued lockdown. Hundreds of unnecessary deaths should be grounds for a legal tribunal.
There is a high risk of a death spike after lockdown due to other causes, such as cancers, that will attributed to COVID-19. This will be used to support more lockdowns.
The politicians, broadcasters, newspaper editors, ministers for health–everyone complicit in censoring and withholding information from the public about the true nature of COVID-19 needs to be held personally liable for the deaths caused.
Fact #1: The Infection Fatality Rate for COVID-19 is somewhere between 0.07-0.20%, in line with seasonal flu
Fact #2: The risk of dying from COVID-19 is much higher than the average IFR for older people and those with co-morbidities, and much lower than the average IFR for younger healthy people, and nearing zero for children
Fact #3: People infected with COVID-19 who are asymptomatic (which is most people) do NOT spread COVID-19
Fact #4: Emerging science shows no spread of COVID-19 in the community (shopping, restaurants, barbers, etc.)
Fact #5: Published science shows COVID-19 is NOT spread outdoors
Fact #6: Science shows masks are ineffective to halt the spread of COVID-19, and The WHO recommends they should only be worn by healthy people if treating or living with someone with a COVID-19 infection
Fact #7: There’s no science to support the magic of a six-foot barrier
Fact #8: The idea of locking down an entire society had never been done and has no supportable science, only theoretical modeling
Fact #9: The epidemic models of COVID-19 have been disastrously wrong, and both the people and the practice of modeling has a terrible history
Fact #10: The data shows that lockdowns have NOT had an impact on the course of the disease.
Fact #11: Florida locked down late, opened early, and is doing fine, despite predictions of doom
Fact #12: New York’s above average death rate appears to be driven by a fatal policy error combined with aggressive intubations.
Fact #13: Public health officials and disease epidemiologists do NOT consider the other negative societal consequences of lockdowns
Fact #14: There is a predictive model for the viral arc of COVID-19, it’s called Farr’s Law, and it was discovered over 100 years ago
Fact #15: The lockdowns will cause more death and destruction than COVID-19 ever did
Fact #16: All these phased re-openings are utter nonsense with no science to support them, but they will all be declared a success
There were many signs that were really available by the end of February indicating this is a virus that has ‘weak legs.’
The data was all available by the end of February [2020] and anyone who can use Excel could analyse it.
“The best statistical test is the eyeball test.” And if you chart things in Excel, you can very quickly make an instinctive judgement.
No country succeeded in protecting the elderly and nursing homes–it’s hard thing to do.
We had a soft flu season. The people who would have been susceptible to a generic flu were hit by a virus that came late and swept through rapidly. This could explain the high COVID-19 death numbers among the vulnerable.
Many analysts agree that the lockdown did nothing to affect the peak of infections and deaths.
None of the pro-lockdown people seemed to analyse the data and used the data to support lockdown.
Many pro-lockdown scientific colleagues are academics receiving salaries; their lives would not be negatively affected by the lockdown. Scientists love nothing more than staying at home to work.
What really matters is the years lost rather than the number of dead. Life is risky and when you’re old, life is more risky. You’re expecting younger people to give their future to get two more months of life.
While COVID-19 is not the same as the flu, the numbers look very similar.
People rolled over for a lockdown based on no real solid science.
There’s a whole fallacy about the R value because it is dependent on the time you’re infected and no one knows what the time infected is, no one knows about hidden cases.
It is what is known in science as positive feedback or a snowball effect. The government is afraid of its constituents. Therefore, it implements draconian measures. The constituents look at the draconian measures and become even more hysterical. They feed each other and the snowball becomes larger and larger until you reach irrational territory. This is nothing more than a flu epidemic if you care to look at the numbers and the data, but people who are in a state of anxiety are blind. If I were making the decisions, I would try to give people the real numbers. And I would never destroy my country.
Compared to that rise, the draconian measures are of biblical proportions. Hundreds of millions of people are suffering. In developing countries many will die from starvation. In developed countries many will die from unemployment. Unemployment is mortality. More people will die from the measures than from the virus. And the people who die from the measures are the breadwinners. They are younger. Among the people who die from coronavirus, the median age is often higher than the life expectancy of the population. What has been done is not proportionate. But people are afraid. People are brainwashed. They do not listen to the data. And that includes governments.
Any reasonable expert – that is, anyone but Professor Ferguson from Imperial College who would have locked down everybody when we had swine flu – will tell you that lockdown cannot change the final number of infected people. It can only change the rate of infection. And people argue that by changing the rate of infection and ‘flattening the curve’, we prevented the collapse of hospitals. I have shown you the costs of lockdown, but this was the argument in favour of it. But look at Sweden. No lockdown and no collapse of hospitals. The argument for the lockdown collapses.
The key findings are that <50% of participants were adherent with mask use and that the intention-to-treat analysis showed no difference between arms. Although our study suggests that community use of face masks is unlikely to be an effective control policy for seasonal respiratory diseases, adherent mask users had a significant reduction in the risk for clinical infection. Another recent study that examined the use of surgical masks and handwashing for the prevention of influenza transmission also found no significant difference between the intervention arms.
Professor Michael Levitt, Stanford Prof. of Biophysics, Cambridge PhD and DSc, 2013 Chemistry Nobel Laureate (complex systems), says that Europe’s COVID19 Excess Deaths plateau at 153,006, 15% more than 17/18 Flu with same age range counts.
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.
Topics discussed:
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.
…the report’s assessment is in line with a growing number of international experts who demonstrate that the threat of COVID-19 is no worse than a severe influenza cycle.
Grave errors of judgement in crisis management
Deficits in the regulatory framework for pandemics
Surgical masks and N95 respirators are not effective at preventing the flu. Of the 446 nurses who took part in this study, nearly one in four (24%) in the surgical mask group still got the flu as did 23% of those who wore the N95 respirator.
Influenza infection occurred in 50 nurses (23.6%) in the surgical mask group and in 48 (22.9%) in the N95 respirator group (absolute risk difference, −0.73%; 95% CI, −8.8% to 7.3%; P = .86), the lower confidence limit being inside the noninferiority limit of −9%.
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