Coronavirus

Out of context: Reply #4746

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  • utopian0

    U.S. Covid-19 Factoids
    • On average 85,000 people a day are contracted Covid-19
    • On average 700 people a day are dining from Covid-19
    • Tens of million of American's refuse to get vaccinated
    • Herd immunity not likely until early to late 2022

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    • 700 people dining like they haven't been to a restaurant in a year!Krassy
    • thanks to the mask resisting, science skewing bobos out theremonospaced
    • At least 80mil of Americans had it. In some parts of the country, 60-75% had it (at 75% you have proven heard immunity). Then why vaccinate unless you are 65+?pr2
    • or from the areas where many still didn't have it?pr2
    • "At least 80mil" is just your estimate. No proof that any spot has had 60-75% infection of population.monospaced
    • 0.4-0.7 is now widely accepted IFR number. Go do your own calculations and see for yourself.pr2
    • NYC has 60-75% infection rate in Quees and Brooklyn.pr2
    • pr2 care to post some sources to back up your numbers?robotinc
    • here is one meta-analysis (IFR 0.7%):
      https://pubmed.ncbi.…      pr2
    • Another one from WHO (IFR 0.27%):
      https://www.who.int/…      pr2
    • Queens in NYC has 10k deaths. If we assume IFR of 0.5% that gives us 2mil infection (out of population of 2.3 mil).pr2
    • IFR is a different discussion from infection rates though.monospaced
    • u can deduct one from another.pr2
    • it takes too many estimated from really wide reports. And not a single source even likes using an average IFR because they vary a lot by age.monospaced
    • It’s nonexistent with young people and super high with old. And it’s not really connected to how the virus spreads.monospaced
    • IFR of 0-40 is pretty much 0. up to 55 it's the flu levels and around 65+ it skyrockets, so indeed IFR taken by itself is a mistake.pr2
    • but the above quoted numbers are general averages, which in population with average age spread, give you a good starting point.pr2
    • But it’s wildly different from county to county. Averages are where you’re getting all fucked up.monospaced
    • IFR of the disease isn't that different if you compare apples to apples. Compare 1st world country to 1st world country and you gonnan be in ballpark.pr2
    • that's why u want meta-analysis not just one study that often deals with just one region.pr2
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