LIST OF QUESTIONS FOR MPS
From @ClareCraigPath and Dr Jonathan Engler:
.
1.Why are SARS-CoV-2 antibody levels flat or dropping across all age groups since May if the pandemic is still going?

2.What percentage of the population is assumed to have had prior immunity to SARS-CoV-2 in the SAGE forecasting models?
3.Why do 50% of household members not catch SARS-CoV-2 from infected persons with whom they live?
4.Why have Japan and South Korea not had any serious outbreak if the human species has no prior immunity to SARS-CoV-2?
5.What percentage of the population of the UK is assumed to be immune to COVID-19 (including prior immunity) as of this date?
6.What percentage of those diagnosed with COVID-19 since July have developed antibodies to COVID-19, confirming the diagnosis?
7.If 90%+ (SAGE Minutes: 21/09/20) of the population is still susceptible to SARS-CoV-2, why did the virus case numbers and deaths not double every 3-4 days throughout June, July and August, and indeed throughout the Autumn?
8.Why have positive test results rocketed while numbers of symptomatic patients in the community and NHS triage data show they have flatlined since mid-September?
9.Why are acute respiratory admissions through Accident & Emergency significantly below the normal for the time of year if the pandemic is still raging?
10.Why are total hospital admissions, ITU occupancy and hospital oxygen consumption at or below normal levels for the time of year?
11.What percentage of deaths labelled as being due to COVID-19 have had the diagnosis confirmed at post-mortem since July?
12.Why are the regions of the country that have had excess deaths not the same regions that have supposed COVID-19 deaths, unlike in spring?
13.Why has Liverpool testing by the Army failed to find COVID-19 in the community when they are supposedly at the centre of the alleged “second wave”?
https://t.co/cVvTsH0JTd is a 0.22% rate of diagnosed infection in the public in Liverpool to be reconciled with the ONS prediction of 2.3% infection rates in Liverpool on 11th November based on PCR testing?
15.Why are much quicker lateral flow tests not being prioritised for hospital admissions to prevent the standard 24-48 hour delay with PCR results and ensure that those who are positive can be isolated to prevent hospital spread?
16.Why aren’t all staff being tested by the lateral flow test to prevent the staffing crisis being caused by false positive PCR results?
17. Do positive PCR tests for asymptomatic and symptomatic NHS staff, or anyone else, which result in them being required to self-isolate have confirmatory re-tests performed?
18.Why is the country in lockdown when there are no excess hospital admissions, no excess intensive care bed use and no excess death rates (by date of occurrence) in the midst of an allegedly out of control, raging pandemic?
19.Why are we in lockdown when the Government’s own Operation Cygnus pandemic plan stated that lockdown could only delay deaths by a few weeks at most?
20.What evidence is there that lockdown has prevented more deaths than it has caused?
SAGE believes 90% of UK population susceptible to COVID-19 (Sage Minutes: September 21st). There is now a large body of evidence (BMJ: September 17th) that 30-50% of the population had prior immunity to SARS-CoV-2 virus because of its similarities to some types of common cold.
Letter template link here:
https://t.co/SAVtoyNbia

More from Robin Monotti Graziadei

The evidence based science shows that medical face masks for the healthy do not alter rates of community transmission of SARSCoV2 while they contribute to the plastic pollution of planet. Cloth & masks of other materials increase rates of infection through nebulization spread.

"Speaking through some masks dispersed largest droplets into a multitude of smaller droplets..smaller particles are airborne longer than large droplets (larger droplets sink faster), a mask might be counterproductive."
https://t.co/jBQlWRxcEL


Influenza like illness rates 3 times higher with cloth masks when compared to control group:
https://t.co/djT0mfutv9
Prof. Carl Heneghan, Oxford University: "The high quality trial evidence for cloth masks suggest they increase your rate of reinfection."


Please note, droplets smaller than 120 microns can't be measured. SARSCoV2 is 0.14 microns. This means that the nebulization effect of medical masks could not be measured, not that it does not happen. ⬇️


The really small aerosols <1 μm [the ones that pass through ALL surgical masks] can penetrate all the way to the alveoli - the basic units for gas exchange
The problem with meta-analysis like this is that it obfuscates the most important issue of treatment, which is timing.


This meta-analysis of controlled trials only looks at hospitalized patients. How long were the patients ill for before being hospitalized? One week? Two? Three? Too late for zinc ionophores (HCQ) (+ZINC? No zinc no point..) to work. Severe illness becomes bacterial in nature.

Was azythromycin administered when the bacterial infections were also too advanced? I have seen Azythromycin work with my very own eyes but that's not to say that if administered too late it may not save the patient. How many patients were given AZT & ventilated? It's all timing.

All the meta-analysis is telling us is if you leave it too late you may have missed the early window for antiviral zinc treatment (Zn+HCQ) & that if you are given AZT when you are ventilated or very severe it may too late for it to save you & corticosteroids may be last resort.

And of course antibiotics need also probiotics, or they may harm the bacterial flora which is part of the immune response. Difficult to tell from a meta-analysis how this problem was managed.

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New from me:

I’m launching my Forecasting For SEO course next month.

It’s everything I’ve learned, tried and tested about SEO forecasting.

The course: https://t.co/bovuIns9OZ

Following along 👇

Why forecasting?

Last year I launched
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It went crazy.

I also noticed an appetite for learning more about forecasting and reached out on Twitter to gauge interest:

The interest encouraged me to make a start...

I’ve also been inspired by what others are doing: @tom_hirst, @dvassallo and @azarchick 👏👏

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In the last 2 years I’ve only written 3 blog posts on my site.

- Probabilistic thinking in SEO
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With forecasting, I’ve got something to say. 💭

There are mixed feelings about forecasting in the SEO industry.

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