It’s not clear to me that one of those is a dependent variable. In fact, it now seems much more likely that it’s not. Perhaps on a different domain it would be, but on the domain that has actually existed, there doesn’t seem to be a real connection.
61,988,071 total cases
1,449,114 dead
42,788,667 recovered
In the US:
13,454,254 total cases
271,026 dead
7,945,582 recovered
Yesterday’s numbers for comparison:
3.3% mortality.
Getting better,
The lifting of State bans on evictions has led to a large increase in Covid cases, leading people to fear the lifting of the federal moratorium on evictions next month. The study shows that an additional 433K cases and over 10K deaths were the result of lifting the bans on eviction.
Undead Danish mink rise from their graves.
11 November 2020: U.S. sets record for coronavirus hospitalizations with over 60,000
28 November 2020: U.S. hospitalizations top 90,000 for the first time
If you think it’s bad now, just wait 14-17 more days. That’ll take us right into Christmas, where it’ll probably spike even higher.
At this rate, some hospitals are going to be completely overwhelmed. I won’t be surprised to see some noticeable attrition among healthcare workers on the front lines.
Does anyone know what percentage of covid patients who are sick enough to be hospitalized are dying now? Let’s go with “now” being from September 1 forward.
A university research team says, eh, and offers guidance? I wonder if they’ve been commissioned by the state to provide such advice. The article doesn’t say.
I’m sure you had a point, but, eh, your post doesn’t say.
Eh, that’s a good point.
62,573,422 total cases
1,458,309 dead
43,194,258 recovered
In the US:
13,610,357 total cases
272,254 dead
8,041,239 recovered
Yesterday’s numbers for comparison:
My point was that people should stay in their lanes.
And what lane do you suppose the University of Arizona’s Covid Modeling Team are in?
Dunno. I hope they’ve been commissioned by the state, to do that research and recommend those policies. Not sure I’d guess they are, though.
Well, I don’t have to guess to know how much effort you put into your criticism. Zippo. I don’t get the impression you even know what “stay in your lane” means.
Here’s some back story that may shed some light:
In a statement, the Arizona Department of Health Services said the projections prepared by the university professors were part of a “variety of models,” a list that included predictions from Harvard, one developed at the University of Washington, and the one prepared by FEMA in conjunction with the U.S. Centers for Disease Control and Prevention.
In the statement, the department said it appreciated the work of the professionals in developing a state model, to provide “another model for consideration.” The department said that model was completed April 20, and it’s now shifted away from “predictive models.”
“With months of data now available, we have shifted our primary focus from predictive models to using all of our real-time, Arizona specific data to assess the health of our health-care system and evaluate the trend of our cases to make decisions that are best for Arizona.”
And a bit more light on the work of the modelers:
To combat those predictions, the modelers made the following recommendations to the state:
- Immediate implementation of a statewide mask mandate
- A state-wide shelter-in-place ordinance beginning Tuesday, December 1st extending through Tuesday, December 22 that would include the closures of indoor dining and bars.
- To alleviate economic hardship imposed by the shelter-in-place order, the state should pass emergency COVID-19 relief measures for small businesses and families affected by closures.
- If a state-wide mandate is not enacted, county and municipal leaders should be granted greater authority to enact their own shelter-in-place orders, business closures, and restrictions on public gatherings.
They appear to be doing more than just crunching data. If you know what I mean.
Sounds like they are making recommendations based on the implications shown from their models. Is that what you mean?