1. #36
    RudyRuetigger
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    Quote Originally Posted by blackbart View Post
    for everyone believing the media "only old people get it" mis -information, check actual California stats:









    and last updated 9:24 PM, May 10, 2020

    LAST ARTICLE UPDATE: 6:21 p.m. PDT May 10
    As of May 9, 2020, there are a total of 66,680 positive cases and 2,745 deaths in California.
    As of May 9, 955,664 tests have been conducted in California and reported to the California Department of Public Health. This represents an increase of 43,094 tests over the prior 24-hour reporting period. These numbers include data from commercial, private and academic labs, including Quest, LabCorp, Kaiser, University of California and Stanford, and the 25 state and county health labs currently testing.


    Ages of all confirmed positive cases:

    • Age 0-17: 2,373 cases
    • Age 18-49: 33,190 cases
    • Age 50-64: 16,729 cases
    • Age 65 and older: 14,290 cases
    • Unknown/Missing: 98 cases
    https://www.breitbart.com/health/202...-19-in-u-s-75/


    SALOON!!!

  2. #37
    mezmurized2
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    Quote Originally Posted by Chi_archie View Post
    it's not about finding the negatives. That is the backwards way of looking at this test. For every positive test that you find, you then can isolate those people that are unknowingly spreading the virus before their symptoms start or even better finding the Asymptomatic carriers that woud be spreading the virus for 2-4 weeks unknowingly.

    okay, so hypothetically let's say 2000 SBR posters are all sent to an isolated island resort for a few months.

    you separate them onto two sides of the island, 1000 each side. Every day they come together to do some work and to do some recreation.

    On one side you test every 3 days. On another side you do no testing.

    assuming a serial interval of 7.5 days with a 5 day incubation and R naught reproductive rate of 2.2

    if each group of 1000 started out with a lone individual that unknowingly was an asymptomatic postive covid case here is how it would go.

    the non testing group would have 783 members infected within 1 week and the full 1000 on day 8. the testing and isolating group would have 60-80 after 1 week.


    obviously that situation and testing rate would never occur. But in real life removing just 1 asymptomatic carrier from going to the work place, restaurants, grocery stores ect in a "back to normal lifestyle" will prevent 9,500+ people from potentially getting infected 10 days later. So for every positive test you identify you are potentially saving many lives and hundreds of hospitalizations.
    Well stated

  3. #38
    Mike Huntertz
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    Brilliant analogy.
    We're hooped!

    Quote Originally Posted by Chi_archie View Post
    it's not about finding the negatives. That is the backwards way of looking at this test. For every positive test that you find, you then can isolate those people that are unknowingly spreading the virus before their symptoms start or even better finding the Asymptomatic carriers that woud be spreading the virus for 2-4 weeks unknowingly.

    okay, so hypothetically let's say 2000 SBR posters are all sent to an isolated island resort for a few months.

    you separate them onto two sides of the island, 1000 each side. Every day they come together to do some work and to do some recreation.

    On one side you test every 3 days. On another side you do no testing.

    assuming a serial interval of 7.5 days with a 5 day incubation and R naught reproductive rate of 2.2

    if each group of 1000 started out with a lone individual that unknowingly was an asymptomatic postive covid case here is how it would go.

    the non testing group would have 783 members infected within 1 week and the full 1000 on day 8. the testing and isolating group would have 60-80 after 1 week.


    obviously that situation and testing rate would never occur. But in real life removing just 1 asymptomatic carrier from going to the work place, restaurants, grocery stores ect in a "back to normal lifestyle" will prevent 9,500+ people from potentially getting infected 10 days later. So for every positive test you identify you are potentially saving many lives and hundreds of hospitalizations.

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