I have now re-examined this document:

It clearly does indicate both the risks of bacterial infection & to prescribe broad spectrum antibiotics as part of treatment:
"Collect blood cultures for bacteria that cause pneumonia and sepsis, ideally before antimicrobial therapy. DO NOT
delay antimicrobial therapy"
"6. Management of severe COVID-19: treatment of co-infections
Give empiric antimicrobials [broad spectrum antibiotics] to treat all likely pathogens causing SARI and sepsis as soon as possible, within 1 hour
of initial assessment for patients with sepsis."
"Empiric antibiotic treatment should be based on the clinical diagnosis (community-acquired
pneumonia, health care-associated pneumonia [if infection was acquired in health care setting] or sepsis), local epidemiology &
susceptibility data, and national treatment guidelines"
"When there is ongoing local circulation of seasonal influenza, empiric therapy with a neuraminidase inhibitor [anti-viral influenza drugs] should
be considered for the treatment for patients with influenza or at risk for severe disease."
"Empiric therapy should be de-escalated on the basis of microbiology results and clinical judgment"

THE WHO IS CALLING FOR DOCTOR'S JUDGEMENT ON WHEN TO STOP ANTIBIOTICS.

ANTIBIOTICS WERE ALWAYS PART OF THE COVID19 CURE, EVEN ACCORDING TO THE WHO.

Why is this controversial?
Therefore AZYTHROMYCIN was indeed included in the category of indicated treatments by the WHO, as it is indeed an empiric antimicrobial therapy drug.
AZYTHROMYCIN was of course considered safe by the WHO
https://t.co/sw4e7AAIXM
As are MINOCYCLINE & DOXYCYCLINE. Thread continues here: https://t.co/KEuohls1vi

More from Robin Monotti

More from Health

Before we get too far into 2021, I thought I’d write a thread recapping some of the research that came out of my lab in 2020. Most of this work was led by my talented team of graduate students, Kerrianne Morrison, @kmdebrabander, and @DesiRJones.

Back in January, a news story was published about Kerrianne’s study showing improved social interaction outcomes for autistic adults when paired with another autistic partner.

A detailed thread about the study and a link to the paper can be found here (feel free to DM me your email address if you’d like a copy of the full paper for this study or any of our studies):


Another paper published early in 2020 (it appeared a few months earlier online) showed that traditional standalone tasks of social cognition are less predictive of functional and social skills among autistic adults than commonly assumed in autism research.


Next, @kmdebrabander led and published an innovative study about how well autistic and non-autistic adults can predict their own cognitive and social cognitive performance.
You gotta think about this one carefully!

Imagine you go to the doctor and get tested for a rare disease (only 1 in 10,000 people get it.)

The test is 99% effective in detecting both sick and healthy people.

Your test comes back positive.

Are you really sick? Explain below 👇

The most complete answer from every reply so far is from Dr. Lena. Thanks for taking the time and going through


You can get the answer using Bayes' theorem, but let's try to come up with it in a different —maybe more intuitive— way.

👇


Here is what we know:

- Out of 10,000 people, 1 is sick
- Out of 100 sick people, 99 test positive
- Out of 100 healthy people, 99 test negative

Assuming 1 million people take the test (including you):

- 100 of them are sick
- 999,900 of them are healthy

👇

Let's now test both groups, starting with the 100 people sick:

▫️ 99 of them will be diagnosed (correctly) as sick (99%)

▫️ 1 of them is going to be diagnosed (incorrectly) as healthy (1%)

👇

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