You can see there isn’t any hope at all for coronavirus. It won’t even make the top 10. It’ll be lucky to make it even a noticeable blip once 2020 is over.
Why? See, what happens is that these bugs come, kill off a bunch of people. But many of these, since they’re old, would have died this year anyway. Sad, but true. That means if you’re looking for 2020 to be a banner year, don’t bother.
Influenza
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- Professor Neil Ferguson was not doing science.
- Lockdowns are worse than useless.
- It was known to everyone that the lockdown would cause a catastrophe.
- Isolating nursing homes would have prevented the load of hospitals.
- The lockdown approach taken by most governments was a human catastrophe that should never have happened.
- All we have done is slowed the spread of herd immunity and increased the risk to the elderly.
- We have wasted a lot of time, money and lives.
- The spread of respiratory diseases are predictable and relatively short.
- Bill Gate’s comments about the need to lockdown until a vaccine is ready is absurd and has nothing to do with reality.
- We don’t need a vaccine for COVID-19.
- “I don’t know where the government finds these so-called experts who very obviously don’t understand the very basics of epidemiology.”
- Tragic stories from some doctors are not representative of the general experience. We don’t stop living our lives because something goes wrong in a particular place.
- The Swedish approach shows that the draconian measures taken in other countries were unnecessary.
- We may see a ‘Second Wave’ rebound but it may be low.
- There is no reason to believe that COVID-19 will be fundamentally different from other coronaviruses.
- Having a novel virus is not novel.
- We have no science about the effect of social distancing.
- The COVID-19 disaster is a failure of the people to take control of the government.
- There is no reason to wait before opening up schools and businesses.
Abstract
Introduction: Healthcare personnel are at high risk for exposure to influenza by direct and indirect contact, droplets and aerosols, and by aerosol generating procedures. Information on air and surface influenza contamination is needed to assist in developing guidance for proper prevention and control strategies. To understand the vulnerabilities of healthcare personnel, we measured influenza in the breathing zone of healthcare personnel, in air and on surfaces within a healthcare setting, and on filtering facepiece respirators worn by healthcare personnel when conducting patient care.
Methods: Thirty participants were recruited from an adult emergency department during the 2015 influenza season. Participants wore personal bioaerosol samplers for six hours of their work shift, submitted used filtering facepiece respirators and medical masks and completed questionnaires to assess frequency and types of interactions with potentially infected patients. Room air samples were collected using bioaerosol samplers, and surface swabs were collected from high-contact surfaces within the adult emergency department. Personal and room bioaerosol samples, surface swabs, and filtering facepiece respirators were analyzed for influenza A by polymerase chain reaction.
Methods: Thirty participants were recruited from an adult emergency department during the 2015 influenza season. Participants wore personal bioaerosol samplers for six hours of their work shift, submitted used filtering facepiece respirators and medical masks and completed questionnaires to assess frequency and types of interactions with potentially infected patients. Room air samples were collected using bioaerosol samplers, and surface swabs were collected from high-contact surfaces within the adult emergency department. Personal and room bioaerosol samples, surface swabs, and filtering facepiece respirators were analyzed for influenza A by polymerase chain reaction.
Conclusions: Healthcare personnel may encounter increased concentrations of influenza virus when in close proximity to patients. Occupations that require contact with patients are at an increased risk for influenza exposure, which may occur throughout the influenza season. Filtering facepiece respirators may become contaminated with influenza when used during patient care.
Scientists who advised the World Health Organization on its influenza policies and recommendations—including the decision to proclaim the so-called swine flu a “pandemic” had close ties to companies that manufacture vaccines and antiviral medicines like Tamiflu, a fact that WHO did not publicly disclose.
Council of Europe to discuss whether pharmaceutical firms spread alarm over pandemic to boost orders of medicines
European health chiefs are to hold emergency talks about whether pharmaceutical giants have unduly influenced governments into squandering public money on vast stockpiles of unnecessary swine flu drugs.
Update 05 May 2020: Original video was removed from YouTube. Below is the mirror on Bitchute.
The COVID-19 epidemic curves are consistent and follow the Gompertz curve. Similar distributions have been reported for Influenza, such as the 1918/19 epidemic in Prussia.
https://tbiomed.biomedcentral.com/articles/10.1186/1742-4682-4-20
Tony Heller compares COVID-19 with other pandemics and explains why the lockdown may create an even more devastating second wave.
Medical professionals say there never was a surge, hospital activity is at a low and we’re in danger of losing our capacity to deal with the second wave because we panicked.
- COVID-19 is very infectious but causes no symptoms in most people.
- New York disaster is due to use of ventilators.
- 80% of pregnant women were COVID-19 positive but not a single baby died due to COVID-19.
- Do what we always do: isolate the frail and sick but don’t isolate the young and healthy.
- Getting herd immunity is how we’ve solved the problem in the past.
- Social distancing is destroying millions of lives and killing 100 people for every one it saves.
Visit Professor Joel Hay’s site at: https://joelhay.com/
Lecture by Marc Van Ranst, Belgian Flu Commissioner, at the ESWI/Chatham House Influenza Pandemic Preparedness Stakeholders Conference on 22 January 2019.
Judging from the content of the lecture, this could be alternatively titled, One voice, one message: How to work with the media to mislead the public.
In the audience is Jonathan Van-Tam, Deputy Chief Medical Officer for England.
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It was the worst winter on record for more than 40 years, with the 1975-76 season being the last time deaths climbed so high above the expected levels.
The NHS was rocked by a record winter crisis in early 2018, with a massive rise in flu cases and sub-zero temperatures triggered by the Beast from the East storm, which added further to death rates.
“The number of excess winter deaths in England and Wales in 2017 to 2018 was the highest recorded since the winter of 1975 to 1976,” said Nick Stripe, from the ONS Health Analysis and Life Events team.”
- UK policy on lockdown and other European countries are not evidence-based
- The correct policy is to protect the old and the frail only
- This will eventually lead to herd immunity as a “by-product”
- The initial UK response, before the “180 degree U-turn”, was better
- The Imperial College paper was “not very good” and he has never seen an unpublished paper have so much policy impact
- The paper was very much too pessimistic
- Any such models are a dubious basis for public policy anyway
- The flattening of the curve is due to the most vulnerable dying first as much as the lockdown
- The results will eventually be similar for all countries
- Covid-19 is a “mild disease” and similar to the flu, and it was the novelty of the disease that scared people.
- The actual fatality rate of Covid-19 is the region of 0.1%
- At least 50% of the population of both the UK and Sweden will be shown to have already had the disease when mass antibody testing becomes available
Summary from 21st Century Wire.
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.
There were an estimated 43,900 excess deaths in England and Wales last winter, the highest number since 1999, figures show.
The report suggests most of the deaths involved people over 75.
The flu virus was a major cause of the rise, along with an influenza vaccine that was less effective than those of previous years, experts said.
The figures are published by the Office for National Statistics and show there were more deaths in women than men.
[Nicola Oliver ] tells us that 15,969 people died of flu (in England) last year, although only 320 died in hospital, and 15,649 were apparently left to die without due medical attention at home. What she fails to note is that the 15,969 deaths were not recorded deaths but a projection derived from the Flumomo algorithm [2] for ‘flu attributable deaths’ based on all cause mortality [3], so it does not really get us anywhere (except that it is just kind of thing I am complaining about!)
The flu vaccine’s failure to protect against some of the key strains of the infection contributed to more than 50,000 “extra” deaths in England and Wales last winter, according to data from the Office of National Statistics.
Among outpatient health care personnel, N95 respirators vs medical masks as worn by participants in this trial resulted in no significant difference in the incidence of laboratory-confirmed influenza.
http://archive.today/2020.04.16-074055/https://pubmed.ncbi.nlm.nih.gov/31479137/
This article in January, before COVID-19 scare, was already warning about a hospital crisis for this year’s flu wave.