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#COVID19 #falsepositive #unreliable #presumptive
"..the positive predictive value of the active screening was only 19.67%, in contrast, the false-positive rate of positive results was 80.33%.
"The multivariate-probabilistic sensitivity analysis results supported the base-case findings, with a 75% probability for the false-positive rate of positive results over 47%...
Conclusions: In the close contacts of COVID-19 patients, nearly half or even more of the 'asymptomatic infected individuals' reported in the active nucleic acid test screening might be false positives.
ncbi.nlm.nih.gov/pubmed/3213383…
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More from @med1cinewoman see all

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Zara Bourgeois/The Medicine Woman
@med1cinewoman
#Coronavirus vaccine for veterinary use. Nothing new. Vaccination is based on old 19 century practices and the grand failures of Koch as well as Pasteur who pushed his flawed germ theory. Read history people.
@MaryamHenein @BusyDrT @DrTessaT
Now you can replace "animals" with humans" and you'll get the picture.
"This product has been shown to be efficacious in healthy animals. A protective immune response may not be elicited if animals are incubating an infectious disease, are malnourished or parasitized,...
are stressed due to shipment or environmental conditions, are otherwise immunocompromised, or the vaccine is not administered in accordance with label directions."
zoetisus.com/contact/pages/…
Read 4 tweets
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Zara Bourgeois/The Medicine Woman
@med1cinewoman
Antibiotic-resistant Streptococcus pneumoniae strains are on the rise since the introduction of the 13-valent pneumococcal conjugate #vaccine in 2010: contagionlive.com/news/antibioti…
Older people who are routinely receiving Pneumococcal vaccine are more antibiotic resistant. Predictably, the conventional solution to the problem is to develop more vaccines.
What these people fail to understand, or maybe they understand and don't want to admit it, that ANY pathogenic bacteria can cause pneumonia. Pneumonia is not germ-specific, it occurs when the lungs are weakened and the pathogen overwhelms the immune system.
Read 5 tweets
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Zara Bourgeois/The Medicine Woman
@med1cinewoman
"We constantly have to invent bogeymen, from climate alarmism, nuclear war and financial collapse to deadly diseases."
#COVID19
beta.spectator.co.uk/article/The-mo…
"..if we are going to worry about any infectious disease, it ought to be tuberculosis. The World Health Organization reports there were ten million new cases worldwide in 2018, 1.45 million deaths, and 4,672 cases in England.
But no one ever bought a face mask because of that. How many people even know that the epicentre of tuberculosis is India, with 27 per cent of cases globally?"
Read 4 tweets

Related threads

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ted laking
@tedlaking
Thread. So there are plenty of examples that have been tweeted today that suggest what the government claims about their enhanced screening measures is incorrect. 1/

#COVIDー19 #cdnpoli
For example, a national columnist, who went through screening this evening, and was only faced with a computer kiosk that asks one question and was then waved through. 2/

Or this reporter who was only asked if they had travelled to Italy, China, or Iran. No questions about symptoms or if they had even been around anyone with COVID or symptoms. 3/

Read 22 tweets
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Daniel Jolley
@djoll
From a respected immunologist at Westmead Hospital, Sydney. Share widely (and not just because he’s a Dan… 👍) #covid #COVID19Aus #covid19australia
We want to be Singapore, Taiwan or HK, not Italy. #flattenthecurve
In contrast to Singapore & HK, the Italian Covid experience is a tragedy that none of us have ever lived through. This experience is from an Italian intensivists/anaesthetists shared among Melbourne anaesthetists: #covid19 #COVID19Aus #FlattenTheCurve
Read 4 tweets
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Stephen Barlow
@SteB777
So those running our governments can be held accountable in the future for their reckless prioritising of profit over public interest re: #COVIDー19 I want to start a discussion about what action should have been taken to prevent the spread of this virus.
Bringing in people who have commented on this. @GreenRupertRead @GeorgeMonbiot @GretaThunberg @ExtinctionR @RogerHallamCS21

Below I will list some of the obvious action I think should have happened to stop the spread of #COVIDー19.
1) To me the most obvious immediate action should have been an international moratorium on international travel and flying until the situation had been brought under control in China. At least a structure for this should have been put in place.
Read 19 tweets
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EVent Horizon
@evdefender
Think someone is lying to you?

First check to see if they bothered to add any variability whatsoever in the model they are using to supposedly report actual numbers from a complex system.

#coronavirus
The mortality rate they want you to report is the - 0 day rate: Today's Confirmed Death total minus Today's Confirmed Case total.

This has not varied outside of 1/10th of 1% in the last 5 prints.

#coronavirus
But even a minor adjustment of a few days in the mortality rate paints an entirely different picture

#coronavirus

Read 338 tweets
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Jonathan H Chen
@jonc101x
Closing the loop on #Diagnostics #Tweetorial with example #AppleWatch #AFib #Screening. From a company website: "Atrial fibrillation is a silent killer. The heart arrhythmia causes more life-threatening strokes than any other chronic condition, and will affect 1 in 4 of us."
"But the sad fact is that atrial fibrillation often goes unnoticed: It is estimated that 40% of those who experience the heart condition are completely unaware of it."
Using #AppleWatch technology and #DeepLearning #AI #ML, a device algorithm can reportedly detect atrial fibrillation with high accuracy (c-statistic 93%).
Read 44 tweets
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Jonathan H Chen
@jonc101x
#Tweetorial on #Diagnostics and #Screening interpretation.
An otherwise healthy 40 year old woman comes to you after reading on the internet about a terrible disease that one in a thousand women get, and a highly accurate test that can save her life.
The test is over 99% accurate in people with the disease. For those without disease, the test is only wrong 5% of the time.

You order this test and it comes back positive. The woman anxiously asks you, do I have the disease? What is the chance this woman has the disease?
Assuming they weren't immediately fooled by the "test is only wrong 5 % of the time," most I've asked correctly recognize the stats provided are Sensitivity = 99% and Specificity = 95%, and that the objective is to determine the Positive Predictive Value.
Read 21 tweets

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