re: Coronavirus Disease 2019 (COVID-19) ***W.H.O. DECLARES A GLOBAL PANDEMIC***

General purpose time

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What happens when your run out of GPT?

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Nothing

They are actually having us go to -40 hours. Once you get there, you just keep working as normal

Pay isn’t changing, they are just reducing the liability

Two part approach

1. Reduce the liability
2. They want everyone ready to work when things are normal again. July and August are when most of our gpt is taken through the system. Those months need to be balls to the wall money making months. So, with this forced gpt, people will now be working those months instead of taking off

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This makes sense. They can't have every employee with 200 hours of GPT in their bank.

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Correct. Our liability was already getting very fat

And, double with the fact everyone would be looking to take off in July when things open, we would be double fricked

We need to be working like madmen those months to make up money

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shite, we got temporary pay cuts across the board. I would rather them make us burn our PTO.

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Yeh I aint complaining at all

But we have a bunch of, lets say "Marens" complaining "I was saving hours to go to Cozumel with my family later this year. What will I do now!!!!!"

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Is this an indication that things are slowing down? I don't mean that ugly -- just seems like if they want people not there and to use their time, that they're not needed?

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Things have been slow as shite this entire time

But those employees working directly with covid, this doesnt apply to. But even covid floors and admits are slowing down greatly for us

medRxiv Summary. Anybody smarter than me that can look at the full version? Seems like undiagnosed cases here are much higher than other places?

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Background Addressing COVID-19 is a pressing health and social concern. To date, many epidemic projections and policies addressing COVID-19 have been designed without seroprevalence data to inform epidemic parameters. We measured the seroprevalence of antibodies to SARS-CoV-2 in Santa Clara County. Methods On 4/3-4/4, 2020, we tested county residents for antibodies to SARS-CoV-2 using a lateral flow immunoassay. Participants were recruited using Facebook ads targeting a representative sample of the county by demographic and geographic characteristics. We report the prevalence of antibodies to SARS-CoV-2 in a sample of 3,330 people, adjusting for zip code, sex, and race/ethnicity. We also adjust for test performance characteristics using 3 different estimates: (i) the test manufacturer's data, (ii) a sample of 37 positive and 30 negative controls tested at Stanford, and (iii) a combination of both. Results The unadjusted prevalence of antibodies to SARS-CoV-2 in Santa Clara County was 1.5% (exact binomial 95CI 1.11-1.97%), and the population-weighted prevalence was 2.81% (95CI 2.24-3.37%). Under the three scenarios for test performance characteristics, the population prevalence of COVID-19 in Santa Clara ranged from 2.49% (95CI 1.80-3.17%) to 4.16% (2.58-5.70%). These prevalence estimates represent a range between 48,000 and 81,000 people infected in Santa Clara County by early April, 50-85-fold more than the number of confirmed cases. Conclusions The population prevalence of SARS-CoV-2 antibodies in Santa Clara County implies that the infection is much more widespread than indicated by the number of confirmed cases. Population prevalence estimates can now be used to calibrate epidemic and mortality projections.

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LINK

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Seems like undiagnosed cases here are much higher than other places?

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The netherlands study showed 3% of its sample had antibodies as well

So, 3% seems like a good estimation of who actually has it

Currently, there are 34,723 deaths in america

If 3% of our population has it, that is 9,846,000 infected

That is a mortality rate of 0.36%. That falls perfectly in line with what the experts expect this true mortality rate to be (0.2-0.7%)


So these antibody studies seem fairly accurate

So, we are looking at a novel virus roughly 2-3 times worse than the flu. Take that info and judge if our reaction has made sense for yourself


ETA:

For louisiana, assuming the 3% infection rate, louisiana would have a mortality rate of 0.828%. But one would logically think louisianas infection rate would be higher due to it being a hotspot area

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One thing about your GPT policy to think about, it will be a good bit cheaper to fire people when they have way less GPT in their bank. I know we do a 100% pay out of that with terminations.

Not saying they're about to fire people, but it definitely makes it cheaper

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Of course it does

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This has been a thought about California for awhile, that they have a semblance of herd immunity already.

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3% infection rate isnt high. That is being found in almost all antibody studies