Best tracker for currently hospitalized.

[pat_k]

Here's the best tracker of currently hospitalized I've found.

https://covidtracking.com/data/charts/daily-cases-and-currently-hospitalized

Check states to view/compare from the Choose States drop-down.

Select Per Million at the bottom for the most meaningful comparison.

The project site has other great charts. And if you are a data nerd, you can download the data.

--------------------------------------------
And here's a good site for tracking absolute numbers of daily deaths (unfortunately, they don't have a way to view per capita)
https://covid19.healthdata.org/united-states-of-america?view=daily-deaths&tab=trend

[Karadeniz]

1. I hope I won't need it, but now I know where to find it... Thanks for sharing.

[progree]

2. Super+ REC. Love how can also compare a number of states side-by-side

Daily new cases too. 7 day rolling average.

[pat_k]

4. Yes. Kudos to The Atlantic!

The COVID Tracking Project is a volunteer organization launched from The Atlantic and dedicated to collecting and publishing the data required to understand the COVID-19 outbreak in the United States.

They also have a racial tracking page:
https://covidtracking.com/race

Deaths per 100,000
106 Black
70 Latinx
70 Native American and Alaska
55 Native Hawaiian and Pacific Islander
White 47
Asian 45
Other 41

[Mike 03]

3. Bookmarked

This is a remarkable tool. (And addictive).

[pat_k]

5. States at, or heading to, new peaks + all time highs

I poked around looking for the states at, or heading to, new peaks. Here are they are:

South Dakota (460 per million)
North Dakota (375 per million)
Montana (350 per million)
Wisconsin (250 per million)
Indiana (250 per million)
Kansas (250 per million)
Missouri (230 per million)
Oklahoma (230 per million)
Nebraska (225 per million)
Tennesse (200 per million)
Kentucky (180 per million)
Wyoming (180 per million)
Iowa (180 per million)
New Mexico (125 per million)
West Virgina (125 per million)
Ohio (120 per million)
Minnesota (120 per million)
Utah (100 per million)

And here are the all time highs:

New York (970 per million 4/13)
New Jersey (930 per million 4/15)
Washington DC (630 per million 5/4)
Massechusetts (575 per million 4/21)
Connecticut (550 per million 4/22)

[central scrutinizer]

6. Try this one

https://coronavirus.1point3acres.com/en

They have a tab that lists deaths/10M

[pat_k]

7. Thanks!

[Ms. Toad]

8. The numbers on the second site seem to be way off.

Their cases are nearly double the confirmed cases (160784, as opposed to 81581 repoerted for yesterday), and their deaths are about 25% too low (815, as oppossed to 1030 actual deaths for 10/29).

I spot checked the observations, as opposed to the predictions, and didn't find any that were close matches.

[pat_k]

9. The observed daily deaths is about 10 days behind.

They may not be the "definitive" dataset, but I'm not sure that there really is a "definitive" source. I think that as long as there is some consistency in how the information is gathered, the trends, if not the absolute numbers, are captured. One of their main goals is to help project hospital resources needs.

Here's where they get their data:

These forecasts include data from local and national governments, hospital networks and associations, the World Health Organization, third-party aggregators, and a range of other sources. We use the Johns Hopkins University (JHU) data repository on Github to collate daily COVID-19 cases and deaths. We supplement this dataset as needed to improve the accuracy of our projections. For example, we use data from government websites for Brazil, Canada, France, Germany, Italy, Japan, Mexico, Pakistan, South Africa, Spain, United Kingdom, and the US states of Indiana, Illinois, Maryland, and Washington. For New York, we use data from the New York City Department of Health and Mental Hygiene and the New York Times GitHub repository. We obtain subnational data from government websites. Our models are updated regularly, as new data are available, to provide the most up-to-date planning tool possible.

http://www.healthdata.org/covid/faqs

[Ms. Toad]

10. I'm comparing date for date.

I compared the last observed (not projected) death toll on the site you linked to to the actual deaths reported on that day on worldometers (a consistently reliable site) and they were not even close.

As for cases - they are equally far off. Compare the numbers reported there for the last few days - well over 150,000/day - to the well-publicized records that have just been broken (Fri - Wed), which were in the mid-80,000s.

When a site is that far off on easily verifiable information, I wouldn't personally trust anything on it to be accurate, regardless of where it says it pulls its data from. (And Johns Hopkins stopped being a consistently reliable source for data quite a while ago. It was the one I relied on exclusively from January through perhaps lae Mach, when the data started being inconsistent with the data from other sources and had several days with clearly erroneous data - which it later corrected with no explanation).

[pat_k]

11. Thanks for the insight Ms. Toad!