a_unique_person
Director of Hatcheries and Conditioning
Australia is heading down to 0 new infections and hardly anyone is wearing masks.
The more I listen to these virologists the more they talk about not so much anti virals or fighting the virus but talking about modifying how the body deals with it.
Australia is heading down to 0 new infections and hardly anyone is wearing masks.
Australia is heading down to 0 new infections and hardly anyone is wearing masks.
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We're running pretty neck & neck - you're a bit better than us today on cases per capita and we were better than you yesterday.
I remain unconvinced elimination of the virus is possible, but if we can keep it down to a handful of cases a day, with 100% follow up, we could easily work through it.
Here's something I found interesting:
Dag Berild, a medical doctor and Associate Professor at Oslo University Hospital, argued that the low level of antibiotic resistant bacteria in Norwegian hospitals may also have played a role in the country's lower mortality rate.
"The argument for that is that many of the coronavirus pneumonia cases are complicated by bacterial pneumonia, so if that is the case with coronavirus, then patients in a country with a low resistance rate among bacteria would have a better prognosis than those in Italy, where they have an awful lot of resistant bacteria, particularly in Lombardy."
The article is about Norway's testing capacity which some may also find interesting:
https://www.thelocal.no/20200403/how-has-norway-managed-to-test-so-many-for-coronavirus
WHO agrees with you.None of the antibody tests have had anything close to adequate testing to verify sensitivity and specificity. That is probably true worldwide as well but I'm only familiar with the tests being used in the US.
I cannot understand how they could measure the accuracy of these antibody tests. Like the result of a test is positive. Does it mean the person has had the virus or is it a false positive? All they can do is test people who have recently recovered and if their test is negative then probably something is wrong with the test.
To find known negative cases they can go into nursing homes where they know that no one has had the virus and test these people. If they come out positive then it is a good indication that the test is faulty.
Here's something I found interesting:
Dag Berild, a medical doctor and Associate Professor at Oslo University Hospital, argued that the low level of antibiotic resistant bacteria in Norwegian hospitals may also have played a role in the country's lower mortality rate.
"The argument for that is that many of the coronavirus pneumonia cases are complicated by bacterial pneumonia, so if that is the case with coronavirus, then patients in a country with a low resistance rate among bacteria would have a better prognosis than those in Italy, where they have an awful lot of resistant bacteria, particularly in Lombardy."
The article is about Norway's testing capacity which some may also find interesting:
https://www.thelocal.no/20200403/how-has-norway-managed-to-test-so-many-for-coronavirus
The more I listen to these virologists the more they talk about not so much anti virals or fighting the virus but talking about modifying how the body deals with it. it seems like the body starts to get good at fighting the virus then at the same time starts fighting itself badly. So it seems like we should be hearing a lot more about anti inflammatories and immune suppressors. We do hear a lot about steroids bad at the start of infection but good at later stages. What does Tocilizumab do?
For this reason, they will start giving pneumococcal vaccinations to everybody 65+ and other vulnerable groups in Denmark next week.
Norway must have been better prepared for testing a large number of people from the very beginning. Do you know if this is due to the many fish farms in Norway - like in the Faroe Islands?
You can compare the commercial kit to a highly sensitive highly standardised laboratory assay. PHE have been collecting acute and convalescent bloods from known cases and there will be blood samples from pre covid that are definite negatives. So you can get a good sense of a false negative and false positive rate. There will be bloods that have been standardised and have known antibody levels that tests can be measured against.
For this reason, they will start giving pneumococcal vaccinations to everybody 65+ and other vulnerable groups in Denmark next week.
Norway must have been better prepared for testing a large number of people from the very beginning. Do you know if this is due to the many fish farms in Norway - like in the Faroe Islands?
WHO agrees with you.
Interesting about UV-C light from Medcram:
https://www.youtube.com/watch?v=2U4DAQ3kjRs
(He also talks about Remdesivir at the start)
"85 times as many people have had the virus as they had thought"? So mortality rate is not 4%, but 1/85 of 4%, but we all know my maths.... Herd immunity, here we come!
Just noticed something odd about the number of new cases. It is happening in several countries, including Australia for the last 6 days. That is the number of new cases is stuck. Every day there are the same number of new cases plus or minus some noise. For example in America there have been about 30,000 new cases every day since 2 April.
I fear the lockdown is not working very well. It should be reducing this number and it is not. It is only holding it steady.
The nasal swab positive rate among patients with symptoms is only about 8%. Which leaves room for lots of serum true positives. 85x 8% is not a small number.
Got any numbers for false positives on equivalent tests? Isn't HIV about 5%?
85x is given for the Stanford study, the L.A. study is not as high, but of similar magnitude. And more random, and larger sample size. I eagerly await our Serological Overlord.
Something of an update.JeanTate said:Turns out the WHO situation report gives a Grand Total of 36,405 for 31 March 2020.
Also:
14509/8778 = 1.65 (not 2.00)
23335/14509 = 1.61 (not 2.00)
36405/23335 = 1.56 (not 2.00)
So what?
For one, my "supposes" were wrong* even as I wrote them.
For another, anyone who read my post could have easily discovered at least these inconsistencies.
Here are the relevant numbers for three dates in April:
4 April: 56,986 (/36405 = 1.56)
8 April: 79,235 (/56986 = 1.39)
12 April: 105,592 (/79235 = 1.33)
The data suggest that the doubling time has gone from ~five days in late March to ~eight days ~two weeks later. This is a very welcome trend, if it indeed reflects accurately how the death toll from covid-19 is changing.
*In the sense that they were obviously inconsistent with what was in the WHO situation reports, although the 36405 value was not known at the time of my post.