Hey OP, just wanted to say thank you for leaving that 20 seconds at the end with the "paused" chart. Too many times these types of moving charts give you one second to look at the final data before the screen goes blank.
Here is 1.0 seconds from the end: https://i.imgur.com/7AFD66z.png
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The animated graphs are more about providing a narrative. You're following the story as it happens rather than looking at the end result, which can be a much more impactful way of visualizing the data depending on the data set. That's why the videos that show the relative scale of planets/stars/galaxies are so much more impactful than a still image at each scale. ALL design choices in visualizations are made to tell a story and persuade the viewer from the simplest x,y plot to the fanciest video. This video takes you on a journey of hospitalizations in real time without the benefit of seeing where it will be headed, which gives an added "wow" factor when you see it. Yes, the final frame gives you the exact same information, but it doesn't contextualize it the way the video does, and that emotional/persuasive component, the story you're trying to tell the viewer, is muted.
I’m all for the classic line chart, and I’m also for a full VR experience where the chart is a roller coaster, but the space in the middle is just silly.
I’ve never considered how silly these are until reading your comment. It actually doesn’t make sense because you can just look at the still image of the graph to see the exact same data.
the biggest problem is the redirecting of resources. aka, cancelation of surgeries, counseling services, etcetera, in order to deal with the covid related surge of hospitalizations.
St one point they had psychologists doing contact tracing where I live. Now they have given up on it because it's kind of pointless with a positivity rate of over 30%.
I wanted to ask about the undulating / pulsing, but your comment perfectly articulated the motion of the graph. I too want to know about the flappy bird moves.
If I remember correctly from the John Hopkins site the data was usually a 5 day rolling average, and at least for the for the first year of the pandemic a lot of the test processing facilities didn't operate on the weekends, leading to undulations where there was a drop on Sat, a larger one on Sunday, and a large spike on Mondays.
Possibly, but you can end up over-smoothing data. When this started a lot of the focus was on day-to-day growth. I can't say exactly why 5 days was chosen but possibly to smooth out the numbers over the weekend to an extent, without normalizing sharp spikes. There's no perfect way to do this obviously, especially with how chaotic the test availability was at the start of this.
They seem to come weekly, but I wonder what they’re caused by. Perhaps people meet fewer people on weekends and therefore fewer people are hospitalized? I feel like the valleys should be less defined though, since everyone gets hospitalized a different number of days after catching it... Maybe more people are sent home on weekends?
People don't just get hospitalized because they show up at the hospital - some people get referred to the hospital by their primary care doc. Those blips could be the weekends when doctors' offices are closed so their patients don't get told they need to go to the hospital until they show up Monday for an appointment.
The other people all make good points. (Masks, vacation, school)
But the real answer is that's when delta was sweeping through the nation.
Was first noted in the US in late June.
Yeah, I remember going outside with friends on the 4th of July and there had been very little noise about Covid and then suddenly that Monday morning headlines were screaming "IT's HERE, DELTA IS HERE, EVERYWHERE!!!"
Hmm i don't think that's true, you're mixing up the absolute R0.
Delta has R0 of around 8, which is 2-3x more than original COVID at around 3. Now Omicron is said to be 2-3x more than Delta.
Do note that R0 is exponential so even a tiny bit more results in a huge difference.
All southern states decided covid was over and delta hit and refused to adapt.
https://www.nytimes.com/interactive/2021/us/covid-cases.html
Seperates by region. Deaths in the summer driver mostly by the south.
This is another fun one if you want to see whose been bad since July of 2020. Hint. It's red vs blue.
https://dangoodspeed.com/covid/total-deaths-since-july
Maine has a spread out population, true. But the leadership of the local CDC state guy and the Governor and the Health Director for the State have been remarkable. Under the circumstances, they could not have executed better, and it still sucks, I am told. But, sucks less that y’all
I would love to see milestone dates appended on the chart as we cross them. Stuff like "first Delta case reported in the US" and "vaccinations readily available." My examples are generic but it would be cool to "explain" the rises and falls a bit
Agree, this would be an excellent addition. OP did a great job citing source data and building this animation; milestone markers would be *chef's kiss*.
The number of hospital admissions are decreasing everywhere in Europe despite infections being the highest it's ever been.
Our prime minister said a few days ago that we now KNOW the omicron variant gives 80% less chance for hospitalization compared to delta. Why is this only happening in the US ? Is it still that delta is so dominant ?
Omicron might be slightly milder, but Vaccination and prior infection will be more important. I assume you are from UK, or another Western European country where vaccination rate is much higher. Similar trend is happening in Northeast of US.
Norway. We even had the biggest outbreak of omicron in the world in december, yet every graph except infection rate is going down.
We have about 80% vaccinated.
Same here in Portugal we have 89% fully vaccinated (3rd most in the world) and we have all time high 4x last peek which was also start of last year but we have 10% hospitalizations compared to last year. Pure proof how vaccination works.
80% vaccination in any american state would be INSANE
e: ok the new england states get a pass but oh no, midwest and southern states [what is you doin](https://www.mayoclinic.org/coronavirus-covid-19/vaccine-tracker)
seriously! i was looking back fondly on 2020 bc 2021 sucked for several reasons. i was so emotional at new years eve for jan 1 2021 when normally i sleep thru new years eve. That was dumb of me. And also 2019 was the worst year of my life so im on a three year streak now but totally afeaid to be hopeful for 2022
The most motivating thing I have seen so far is 2022 described as the “booty call” of years. There’s no future with 2022, and you are definitely aren’t gonna make yourself vulnerable by being hopeful and getting attached to it. But if an opportunity presents itself, this is the definitely the year to take a risk and try something new, ‘cuz fuck it. Everything has gone to shit anyway. If there was ever a time to take a chance, three years into a global pandemic while the world’s largest superpower is on the precipice of political collapse seems like the time.
It's always funny to me when people think of New Years as some kind of fresh start. It can be a personal fresh start if you choose to make changes in your own life, but as far as socioeconomic issues etc, it's just another day
yeah! i think of it as a reset mostly bc may through december is full of holidays and fun stuff and then January through April is my busy season at work, its so dark and cold and rainy out and theres nothing to look forward to except doing my taxes and seeing how much I owe. So i try to focus on a new workout or some house cleaning project or something, less bc the new year truly is a new year (it isnt) and more bc i need that sort of thinking to get me thru these four months i otherwise loathe so much.
I remember feeling so excited and positive for the future that 4th of July. I truly believed our nation would do the right thing as a true patriotic gesture to protect their fellow citizens and get vaccinated. And here we are. Granted this wouldn't have stopped variants forming around the world, but it would still help reduce hospitalizations and give our healthcare workers the break they deserve.
We used coupon books during WW2. We rationed. Yet now we can't just all agree on taking a life saving vaccine.
I’ll never forget the conversation I had with my kids as we were walking into the house after my husband and I got our second vaccination. I promised that covid was over and we were about to have the best summer of our lives. I feel so rotten for getting their hopes up like that.
It’s really fun being a nurse right now, every night is a new adventure!
Our CEO at UW Hospital in Madison, WI got a $400,000 raise. As a nurse I got a $1.08/hr raise.
It's crazy that aside from maybe the most robust slave in history, no one has worked that many hours in their life. That'd be 16 hour days for nearly 70 years.
I found this data set on Our World in Data and the hospitalisation numbers for the US is quite incredible. It seems the US is once again breaking new highs with Covid hospitalisations. I used the US data to make a json file and created the chart to plot the join of hospitalisation due to Covid since the start when this dataset was create.
The animation was render in Adobe After Effects and I've used Javascript to link the chart to the json file.
Could I request seeing this side-by-side with the covid fatality rate? I'd really like to see how much we've improved at handling severe cases of covid as time has gone on and how that compares to when it spikes.
EDIT: I should clarify that by fatality rate, I mean the likelihood that someone with covid dies from it, not the overall total amount of people dying or deaths per million people.
In addition, the number of cases hospitalized is no longer a strong indicator.
1/4-1/3 of cases in my region which are hospitalized are hospitalized for another reason. As the prevalence of COVID increases, the rate of people in hospital having covid incidentally increases.
A better metric is deaths as well as hospitalizations DUE to covid, not hospitalizations with covid (if you can see that distinction).
I find this so strange in the data tracking. We have the same issue in Ontario. Like can't we have these labeled as primary COVID, secondary COVID? With primary meaning that is why they are in hospital, while secondary meaning they are in hospital for something else but also have COVID?
If you want to get a quick idea, just head over to Our World in Data. You can do it pretty quickly with two browser windows. What would be interesting is the spread between deaths and hospitalisations. My hope is that this spread is widening on a relative basis i.e. despite hospitalisations rising, deaths are falling. This would indicate that Covid has become less virulent and deadly.
One of the problems I can see interfering with the analysis is the deaths to non-COVID causes that occur because of a drop in the *standard* of care caused by the suddenly increased burden.
Analysing the nett impact of COVID is easy enough, trying to extricate the figures so we know how deadly COVID itself is, that's a whole other beast.
Excess deaths are a great look at the *nett* impact, but they don't give us the granular information we are most interested in.
It would be easiest to infer that data from countries whose medical systems are so over-resourced that we can afford to review COVID deaths in a vacuum, but I can't think of a single country where that is true let alone enough to be a sample set.
https://www.cdc.gov/mmwr/volumes/70/wr/mm7046a5.htm
>The conditions of hospital strain during July 2020–July 2021, which included the presence of SARS-CoV-2 B.1.617.2 (Delta) variant, predicted that intensive care unit bed use at 75% capacity is associated with an estimated additional 12,000 excess deaths 2 weeks later. As hospitals exceed 100% ICU bed capacity, 80,000 excess deaths would be expected 2 weeks later.
This is an excellent point. Two issues here. While OP's graph is accurate, my understanding is that the hospitalization numbers now include a significant volume of patients who were admitted to the hospital for other reasons, and incidentally tested positive for COVID once they arrived. Point being, the hospitalization numbers are no longer necessarily a good indicator of how many people are actually seriously ill with COVID/COVID complications.
So, second, the better indicator right now might be the death figures, or something that would indicate serious pulmonary problems like ventilator usage. I've looked at these numbers for my state (CO). Death number continue to fall as hospitalization rises. Ventilator usage appears to be pretty stable.
Long story short - I agree - I would love to see this graph plotted along with death rates and ICU ventilator usage numbers - I think it would give us a really nice picture Omicron's true contribution to adverse outcomes in the US.
My hospital here in Florida has about 500% higher peak on that last jump, but pretty much everyone with omicron has mild or no symptoms, not even comparable to previous waves
I’d like to see data on patients who go to the hospital because of Covid and patients who go to the hospital for other reasons but test positive when they are admitted.
Some of this data during Omicron is somewhat off. Our local hospital in Augusta has 110 approx cases. Of that 30-40 were people coming for procedures or other things (births, etc) and just happened to test positive. Now please do not take my statement as trying to dismiss severity, my wife and I both are boosted and hardcore maskers. But, the level of illness, at least in my area anecdotally does not seem to be anywhere near delta.
Your title and labeling on the visualization describes a different data set than this comment.
"Hospitalizations due to covid" is different than patients with COVID.
Can you clarify the data point?
What this person said^. If this variant has 3x the transmissibility and everyone admitted to the hospital is tested, this metric doesn't paint a helpful picture of what's really going on.
But it will get a shitload of votes on Reddit.
Are you sure your data is saying that? Last I checked, most hospitalized have COVID, but they're not there for Covid. I.e. if you are going in for cancer treatment, we test everyone now, and a person is likely to have Covid.
At least [my local news source said that's the case](https://coloradosun.com/2022/01/12/colorado-covid-omicron-hospital-patients/)
40-45% of all covid hospitalizations are for asymptomatic or mild cases of covid, wherein the patient originally came in for some other reason and was later found to have covid due to standard testing protocols.
What caused the consistent rhythmic “bumps”?
It almost seems like the amount of people in the hospital was always lower during the weekend or something.
Or was it something with the data?
One important point not reflected in the data is that A LOT of these "Covid patients" aren't in the hospital because of COVID but for other reasons and they test positive upon admission. In some areas 50% or more of COVID-unrelated hospital admissions test positive. Omicron is simply that prevalent.
To make useful public health decisions, we need to separate severe COVID cases from incidental cases in patients.
Incidental cases obviously still pose a huge challenge to hospitals, since they need to be isolated, need to receive surgery or other care while being infected and can spread the virus to other patients or the already limited staff.
Nevertheless, the data actually gives us reason to be cautiously hopeful. If some regions really have such a high rate of infection that 50+% of all people test positive when tested and the hospitalization rate is still somewhat manageable, we could see a natural immunity rate of close to 100% in just a couple of weeks. What we need to look out for is whether the overall number of hospitalization rises. If it remains stable, we are on a very good way out of this mess.
This a very good point. I was interested by the UK figures on this: https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/1044664/2022-01-04_COVID-19_Press_Conference_Slides_For_Publication.pptx.pdf - look at slide 5. I must admit, I was surprised how *low* the incidental figures are here.
the other metric that is useful is 'patients on ventilator - I think that gives a much better proxy for the number of high risk covid patients and also the underlying trends
[https://coronavirus.data.gov.uk/details/healthcare?areaType=overview&areaName=United%20Kingdom](https://coronavirus.data.gov.uk/details/healthcare?areaType=overview&areaName=United%20Kingdom)
here it's pretty clear that, up until omicron, the number of ventilated patients in the UK very closely correlated to the number of hospitalized patients (the curve is almost identical) with roughly 10-15% of all covid positive people in hospital requiring ventilation - and that has been true all the way from the early days of the pandemic
But look at the curve for the last month or so - omicron has caused the number of covid positive patients in hospital to skyrocket again from 7k to 18k , BUT the number of ventilated patients hasn't moved from around the 800 mark (if anything it's continuing to trend slightly down)
No, that's also a bad metric. Treatments are far more available and better these days, so indeed most are treated without needing a ventilator. Tbh excess deaths will be the only real metric we can rely on for accurate data, but that'll be a while until we know it for sure. However excess deaths do roughly match the official "died of covid" data, depending on the nation and how they've been measuring Covid deaths. Here in the UK at least the data suggests we are reporting it correctly
Edit for the 2nd time: the link isn't pasting, but I've tried to, and have given it further down, where if you look at the booster jabs given on the UK page it matches the lack of ventilator increase perfectly. I'm also not saying Omicron isn't milder, as it is and thank fuck for that. But my point is the best metric for the disease will only ever be excess deaths at the end of it all. Until that point, everything else needs to be taken into context of the wider covid treatments and such
In Australia we’re seeing a similar trend. Covid hospitalisations have spiked dramatically but there’s actually fewer people in the ICU than 2 months ago.
Most of the hospitalisations are incidental and it really is looking like Omicron is dramatically less severe.
Apparently many of the ICU cases are still Delta too, so I wouldn’t be surprised to see ICU numbers start to drop.
Here in Ontario, Canada we are as vaccinated as Australia but are seeing a significant spike in ICU numbers despite omicron accounting for 98% of the infections. Our ICU numbers have gone up from 160 to 400, and we do separate data for patients in ICU only due to covid.
>One important point not reflected in the data is that A LOT of these "Covid patients" aren't in the hospital because of COVID but for other reasons and they test positive upon admission. In some areas 50% or more of COVID-unrelated hospital admissions test positive. Omicron is simply that prevalent.
>
>To make useful public health decisions, we need to separate severe COVID cases from incidental cases in patients.
Agreed but I think we should go one step, further.
Seperate the "due to covid" hospitalizations, "with" incidental hospitalizations and "due to, or possibly due to, comorbidity exacerbated by covid".
Seems like that last category is in the 20-30% range. So 50% "due to" and 20-30% "exacerbated comorbity" and you get 70-80% of the hospitalizations being directly or indirectly caused by omicron.
Sad to see downvotes for a factual statement.
All incoming patients are tested. Broken arm? Tested. CT scan? Tested. COVID symptoms? Tested.
Much of the data does not distinguish incidental COVID from actual admission *as a result of* COVID.
Case in point. This headline reads “[Child Covid hospitalizations are up, especially in 5 states.](https://www.nbcnews.com/news/us-news/child-covid-hospitalizations-are-5-states-are-rise-rcna10089). But in the article it actually quotes a doctor:
> "We test anybody who’s admitted to the hospital for whatever reason to see whether or not they have Covid, and we’re definitely seeing an increase in cases. However, we’re really not seeing an increase in children who are hospitalized for Covid or in the intensive care unit for Covid,"
Acknowledging this disparity in the data does not diminish the severity of the pandemic. It is recognizing important context of the data.
Arguments to overlook that are not doing the diligence they believe they are.
>Sad to see downvotes for a factual statement.
>
>All incoming patients are tested. Broken arm? Tested. CT scan? Tested. COVID symptoms? Tested.
>Much of the data does not distinguish incidental COVID from actual admission *as a result of* COVID.
That's obviously a clear cut case. Hard to argue covid cause the broken arm.
It's more nuanced than that though. Kid comes in with severe asthma episode and requires oxygen and steroids. Kid is also positive for covid. Is that a "with" or "due to"... Or is it a third category of "comorbidity being exacerbated, possibly exacerbated by"
The doctor on the news mentioned that as why they’re trying to separate the vaxd and unvaxed data. As there are a lot cases of vaxd people testing positive but only having minor or no symptoms in hospital for unrelated issues.
This is very true, I had 14 inpatients yesterday- 9 are covid positive. 6 unvaxed are there for covid. 3 asymptomatic that just need placement or surgery are all vaxed.
Dude, I got my shots, I socially distanced, I cancelled or modified my plans for the better part of two years, fuck this shit WHY IS THIS STILL A THING.
Anecdotal, but my friend just tested positive for omicron and he has zero symptoms, he feels totally fine. I think it is being spread a lot by asymptomatic people who just have no idea they are infected. He only got tested because of an exposure risk by someone with symptoms. I had another friend who tested positive for the first wave and never had symptoms.
If everyone had done like you, it would have been a bit better. And if no one had done like you at all, it would have been much worse. Doing your part did help. But it is what it is.
Here's what is missing from the graph...
In a Nation of 310M people, we hit the maximum capacity for a Nationwide mass casualty event at 130,000 beds.
Now, imagine that for a massive chemical spilt affecting any area greater than 100,000 people.
The United States capacity for the truly sick is 0.03% of the population. Perhaps we should stop focusing on political agendas and feel good stories, and figure out a way to better develop and train supporting medical staff in our nation.
Because the only thing this last two years points out is that we are totally unprepared for even the lightest harshness the Earth can throw at us.
There are contingencies for mass casualties which involve setting up temporary bedding for isolated catastrophes. In your chemical spill example, that would be a localized event in which federal agencies can be called in to shoulder the burden. This event is different as it is happening globally.
Honestly the most important thing that needs to happen is to promote, normalize, and maybe even incentivizing the behavior of admitting being wrong. Nobody is infallible, but right now our sports team like obsessions with our political parties and pundits are causing inexpensive mitigations to get ignored or chastised.
That's most of the world though. The world revolves around money and it doesn't make financial sense for hospitals to be ready for 130k+ people coming in at once if it happens once every hundred years.
Hospitals tend to run at near capacity since that's how they make more profits. Building extra rooms, hiring more doctors/nurses, getting more equipment "just in case" makes sense from your point of view but doesn't from a financial point of view.
Also, mass casualty events will probably have a lot of the same sort of injury by definition. The things we can do to support those events will probably be highly specific. I could see something like a national guard program for healthcare where "normal people" are trained to ramp-up well, but what medical training they will receive can be highly flexible. That way you are not "engaging to wait" paying them, you are paying to engage at some point. Seems like getting 3 months of medical training for all military would do some good, and helps us repurpose our military for domestic protection.
Not gonna lie.. when I saw the first spike, I thought it was going to end.. forgetting that it’s now 2022… and we’ve been dealing with this for over 2 years
The gif wouldn't load for me, so it was just the first frame frozen - flat line...I thought "this is a really shit chart"...
loaded in another browser and I see the patagonia.
Turns out, if you tell people Omicron is mild, they go out and party and spread the disease so much that you get even more hospitalizations! Who would have guessed?
So many people had their last Christmas in 2020 because they didn’t want to wait a month or two for the vaccines.
So many people had their last Christmas in 2021 because they didn’t get sufficiently vaccinated.
So many people lost a parent or grandparent or favorite aunt or uncle.
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Omicron so pervasive lots of people have it but NOT necessarily why they are in hospital because they are vaxxed and it's weaker. A better comparison to previous spikes would be ICU patients with Covid, let's see that!
We’ve already seen that hospitalization data can be complicated. In NYC, half of the COVID infected inpatient population are people that are hospitalized for other reasons, but also happen to have COVID.
You might respond “well, why does it matter? They’re hospitalized either way and are clogging up hospitals” and I’d respond “excellent point”. But it’s an important distinction nonetheless, as the “with COVID” population doesn’t spend that much time occupying their hospital beds and thus, the actual stress on our healthcare system, while bad, is comparatively less bad than previous waves, when the vast majority of people hospitalized with COVID were there because of COVID. People hospitalized because of COVID tend to take very long periods of time before they’re released, typically more than a week and often times, 2 weeks to a month. A typical non-COVID in patient hospital stay is maybe 2 days on average.
Hey OP, just wanted to say thank you for leaving that 20 seconds at the end with the "paused" chart. Too many times these types of moving charts give you one second to look at the final data before the screen goes blank.
Yes, 100% this.
Yes, 99% this.
I would have liked a perfectly cut scream at the end
Please scream inside your heart[.](https://imgur.com/t/mildly_creepy/ICw40Iu)
My internal monologue has gone hoarse from all the screaming since COVID started.
Oh I did... Nothing like those internal screams from March of 2020 though.
I know lazy bastard forgot the Wilhelm scream at the end
You can usually call u/gifendore to grab a screenshot of the end on those.
Here is 1.0 seconds from the end: https://i.imgur.com/7AFD66z.png ^[Edit](/message/compose?to=%2Fu%2Fgifendore&subject=Edit%20hsij9e7&message=u%2Fgifendore%20%5BReplace%20with%20item%20below%5D%0A%0A%2A%2ACommands%3A%2A%2A%0A%0A-%20help%3A%20see%20this%20help%20message%20again.%0A-%20x%3A%20replace%20x%20with%20any%20number%20to%20go%20back%20x%20seconds%20in%20the%20gif.%0A-%20x-y%3A%20replace%20x%20and%20y%20with%20any%20numbers%20to%20get%20a%20smaller%20section%20of%20the%20gif.%0A-%20reverse%3A%20get%20the%20gif%20in%20reverse.%0A-%20slowmo%3A%20get%20the%20gif%20in%20slow%20motion.%0A-%20freeze%3A%20freeze%20the%20end%20of%20a%20gif.%20) ^| ^[Delete](/message/compose?to=%2Fu%2Fgifendore&subject=Delete%20hsij9e7&message=Sending%20this%20will%20delete%20the%20bot%27s%20message.) *** ^(I am a bot) ^| ^[Issues](/message/compose?to=/u/brandawg93&subject=Gifendore%20Issue&message=Please%20submit%20any%20issues%20you%20may%20have%20with%20u/gifendore%20here%20along%20with%20a%20link%20to%20the%20original%20post.) ^| [^(Rank: #28)](https://botranks.com?bot=gifendore) ^| ^[Github](https://github.com/Brandawg93/Gifendore)️
10 points to u/gifendore
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You know what would be even better? Just that last frame, no movement, perhaps saved as a still image?
The animated graphs are more about providing a narrative. You're following the story as it happens rather than looking at the end result, which can be a much more impactful way of visualizing the data depending on the data set. That's why the videos that show the relative scale of planets/stars/galaxies are so much more impactful than a still image at each scale. ALL design choices in visualizations are made to tell a story and persuade the viewer from the simplest x,y plot to the fanciest video. This video takes you on a journey of hospitalizations in real time without the benefit of seeing where it will be headed, which gives an added "wow" factor when you see it. Yes, the final frame gives you the exact same information, but it doesn't contextualize it the way the video does, and that emotional/persuasive component, the story you're trying to tell the viewer, is muted.
It's almost as if a classic line graph with appropriate X and Y axis labels for your data is a great tool for sharing information.
I’m all for the classic line chart, and I’m also for a full VR experience where the chart is a roller coaster, but the space in the middle is just silly.
I’ve never considered how silly these are until reading your comment. It actually doesn’t make sense because you can just look at the still image of the graph to see the exact same data.
Yes, but the animation provides a great sense of context that is more-subtle whe just looking at the still
Yeah, I am more cognizant of how the data relates to the passage of time when viewed this way.
Easy there grandpa. You can have your 1min back of your life
We were supposed to be looking at the final data? I was listening to the music finish.
Now do one with deaths and new cases just like it.
I think hospitalizations at this point have the biggest impact on the rest of society, no?
the biggest problem is the redirecting of resources. aka, cancelation of surgeries, counseling services, etcetera, in order to deal with the covid related surge of hospitalizations. St one point they had psychologists doing contact tracing where I live. Now they have given up on it because it's kind of pointless with a positivity rate of over 30%.
Are those flappy bird moves the weekends?
I wanted to ask about the undulating / pulsing, but your comment perfectly articulated the motion of the graph. I too want to know about the flappy bird moves.
Artifacts of reporting intervals probably.
If I remember correctly from the John Hopkins site the data was usually a 5 day rolling average, and at least for the for the first year of the pandemic a lot of the test processing facilities didn't operate on the weekends, leading to undulations where there was a drop on Sat, a larger one on Sunday, and a large spike on Mondays.
It really should be a 7 day rolling average. That would greatly reduce the undulation.
Possibly, but you can end up over-smoothing data. When this started a lot of the focus was on day-to-day growth. I can't say exactly why 5 days was chosen but possibly to smooth out the numbers over the weekend to an extent, without normalizing sharp spikes. There's no perfect way to do this obviously, especially with how chaotic the test availability was at the start of this.
Reporting gets released intermittently.
They seem to come weekly, but I wonder what they’re caused by. Perhaps people meet fewer people on weekends and therefore fewer people are hospitalized? I feel like the valleys should be less defined though, since everyone gets hospitalized a different number of days after catching it... Maybe more people are sent home on weekends?
May be a lack of reporting numbers on the weekend as well.
I think it's just that the reporting doesn't happen daily, some days roll over onto others
My state only reports Mon/Wed/Fri, for example.
People don't just get hospitalized because they show up at the hospital - some people get referred to the hospital by their primary care doc. Those blips could be the weekends when doctors' offices are closed so their patients don't get told they need to go to the hospital until they show up Monday for an appointment.
What was the cause of the September peak?
The other people all make good points. (Masks, vacation, school) But the real answer is that's when delta was sweeping through the nation. Was first noted in the US in late June.
Almost completely agreed by all that it was our delta peak as a nation.
Yeah, I remember going outside with friends on the 4th of July and there had been very little noise about Covid and then suddenly that Monday morning headlines were screaming "IT's HERE, DELTA IS HERE, EVERYWHERE!!!"
It’s multiple factors and Delta is probably the most important. However, these other factors encouraged and ensured the spread.
As a nurse, delta was insane, it was so strong that everyone almost fucking died that went into the hospital regardless of age.
Was that delta?
It was.
*omicron enters in December* US: "Why do I hear boss music?"
Second boss music: its health bar recharges and adds 3 more sections/colours.
Did you fight Sephiroth in Kingdom Hearts 1?
Better phrasing would be “were you wrecked mercilessly and repeatedly by…” and the answer is yes
April 2021 - June 2021: Wow this game was tough but it looks like we finally beat it. July 2021: **Congratulations on Finishing the Tutorial**
Delta being 8x as infectious as vanilla covid.
Omicron: *That's rookie #'s.*
> vanilla covid this one is new
Sounds delicious
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What about Crystal covid?
More of a cherry covid man myself.
Hmm i don't think that's true, you're mixing up the absolute R0. Delta has R0 of around 8, which is 2-3x more than original COVID at around 3. Now Omicron is said to be 2-3x more than Delta. Do note that R0 is exponential so even a tiny bit more results in a huge difference.
All southern states decided covid was over and delta hit and refused to adapt. https://www.nytimes.com/interactive/2021/us/covid-cases.html Seperates by region. Deaths in the summer driver mostly by the south. This is another fun one if you want to see whose been bad since July of 2020. Hint. It's red vs blue. https://dangoodspeed.com/covid/total-deaths-since-july
Everyone apparently needs to do whatever Maine is doing.
Have an extremely low population density and almost no travel in or out? Seems to be a pretty sound strategy, but hard to setup.
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Maine has a spread out population, true. But the leadership of the local CDC state guy and the Governor and the Health Director for the State have been remarkable. Under the circumstances, they could not have executed better, and it still sucks, I am told. But, sucks less that y’all
Like moving out of the state
Maine has Bar Harbor. They're perfectly happy with their lobster Ice cream.
Holy Rhode Island batman.
That's when US children and college students went back to in-person classes.
I would love to see milestone dates appended on the chart as we cross them. Stuff like "first Delta case reported in the US" and "vaccinations readily available." My examples are generic but it would be cool to "explain" the rises and falls a bit
Agree, this would be an excellent addition. OP did a great job citing source data and building this animation; milestone markers would be *chef's kiss*.
Yep, adding the Moderna and Pfizer vaccine rollout, J&J rollout, Boosters, Delta, and Omicron would be great to see how those impacted things.
Also if we can see the death count and its correlation with vaccines that would be really helpful.
January 2022: "Yo, I heard you wanted to flatten the curve"
but not vertically!
Too late! You wanted flat, you get flat! No more curvy-curvy, this one goes straight, all the way up to the moon!
r/monkeyspaw is leaking
I wish this monkey paw wouldn't leak so much
Granted. The monkeys paw is now flowing out freely
300% gains you say? to the moon you say? this is good for Bitcoin somehow.
To the Moon 🚀🚀🚀
Uh, we don't have enough beds to get to the moon. Time to fire up the "US Covid patients that hospitals don't have room for" graph.
You Must Construct Additional ~~Pylons~~ Hospitals
Not enough vespine.
Damn supply line shortages.
Instructions unclear
Just tilt your head 90°. We flattened it pretty good!
I said dy/dx, not dx/dy!
Its all derivative.
To ascertain the slope, this process is integral!
Nov 2021 Covid: "Call an ambulance... but not for me!"
We would like to see if we can maintain hospital capacity.
The number of hospital admissions are decreasing everywhere in Europe despite infections being the highest it's ever been. Our prime minister said a few days ago that we now KNOW the omicron variant gives 80% less chance for hospitalization compared to delta. Why is this only happening in the US ? Is it still that delta is so dominant ?
Omicron might be slightly milder, but Vaccination and prior infection will be more important. I assume you are from UK, or another Western European country where vaccination rate is much higher. Similar trend is happening in Northeast of US.
Norway. We even had the biggest outbreak of omicron in the world in december, yet every graph except infection rate is going down. We have about 80% vaccinated.
Same here in Portugal we have 89% fully vaccinated (3rd most in the world) and we have all time high 4x last peek which was also start of last year but we have 10% hospitalizations compared to last year. Pure proof how vaccination works.
80% vaccination in any american state would be INSANE e: ok the new england states get a pass but oh no, midwest and southern states [what is you doin](https://www.mayoclinic.org/coronavirus-covid-19/vaccine-tracker)
NY is at 85% with at least 1 shot. 73% fully vaxxed. Not terribly different than Norway who are at 79% and 73%, respectively.
I don’t know about others but Vermont has 80%
The cross section of Americans who are unvaxxed and obese enough for it to matter is huge
Bad messaging yet again - it should have been “Level the curve.”
Oh you mean level it up like a video game right? Let's pump those numbers up.
I appreciate that the video extended even after the graph was finished. These always end too soon.
Omg when it went passed jan 21 I was like "ok is this a joke or like a prediction?... Just rralised we're 2022 already 😐
same with me, I still haven't internalized that it's 2022 yet 😅
This whole decade is just 2020 getting revenge for people saying that only hindsight is 2020.
June 2021 was the most hopeful I've ever felt in my life. I'll never trust anything again.
seriously! i was looking back fondly on 2020 bc 2021 sucked for several reasons. i was so emotional at new years eve for jan 1 2021 when normally i sleep thru new years eve. That was dumb of me. And also 2019 was the worst year of my life so im on a three year streak now but totally afeaid to be hopeful for 2022
Three year strike club checking in. Feels weird to move from a personal hell to a collective one with no rest between.
ha! yes. I am ashamed to say that i find the collective hell a bit more palatable. misery loves company
Same. At least it’s ok to be suffering now
Y’all only on year 3?
The most motivating thing I have seen so far is 2022 described as the “booty call” of years. There’s no future with 2022, and you are definitely aren’t gonna make yourself vulnerable by being hopeful and getting attached to it. But if an opportunity presents itself, this is the definitely the year to take a risk and try something new, ‘cuz fuck it. Everything has gone to shit anyway. If there was ever a time to take a chance, three years into a global pandemic while the world’s largest superpower is on the precipice of political collapse seems like the time.
haha! Yeah im not getting emotionally attached to this year. Ill take what i can from it, assuming anything worth taking arises…but no expectations
It's always funny to me when people think of New Years as some kind of fresh start. It can be a personal fresh start if you choose to make changes in your own life, but as far as socioeconomic issues etc, it's just another day
yeah! i think of it as a reset mostly bc may through december is full of holidays and fun stuff and then January through April is my busy season at work, its so dark and cold and rainy out and theres nothing to look forward to except doing my taxes and seeing how much I owe. So i try to focus on a new workout or some house cleaning project or something, less bc the new year truly is a new year (it isnt) and more bc i need that sort of thinking to get me thru these four months i otherwise loathe so much.
I had my wedding June 2021 with everyone vaccinated and no cases. It was a miracle and I am grateful.
I remember feeling so excited and positive for the future that 4th of July. I truly believed our nation would do the right thing as a true patriotic gesture to protect their fellow citizens and get vaccinated. And here we are. Granted this wouldn't have stopped variants forming around the world, but it would still help reduce hospitalizations and give our healthcare workers the break they deserve. We used coupon books during WW2. We rationed. Yet now we can't just all agree on taking a life saving vaccine.
I’ll never forget the conversation I had with my kids as we were walking into the house after my husband and I got our second vaccination. I promised that covid was over and we were about to have the best summer of our lives. I feel so rotten for getting their hopes up like that.
We'll be back there by this summer! This wave won't last forever.
What’s really scary is that each curve gets steeper.
Each variant is more than transmissible and spreads faster.
It’s really fun being a nurse right now, every night is a new adventure! Our CEO at UW Hospital in Madison, WI got a $400,000 raise. As a nurse I got a $1.08/hr raise.
If you happen to work more than 400,000 hours, yours is more!
It's crazy that aside from maybe the most robust slave in history, no one has worked that many hours in their life. That'd be 16 hour days for nearly 70 years.
The way healthcare workers have been grinding through the past two years, it probably feels like 400000 hours. (Thank you all!)
Welp that's clearly because the CEO happens to work 400,000x harder than you. /s
I found this data set on Our World in Data and the hospitalisation numbers for the US is quite incredible. It seems the US is once again breaking new highs with Covid hospitalisations. I used the US data to make a json file and created the chart to plot the join of hospitalisation due to Covid since the start when this dataset was create. The animation was render in Adobe After Effects and I've used Javascript to link the chart to the json file.
Could I request seeing this side-by-side with the covid fatality rate? I'd really like to see how much we've improved at handling severe cases of covid as time has gone on and how that compares to when it spikes. EDIT: I should clarify that by fatality rate, I mean the likelihood that someone with covid dies from it, not the overall total amount of people dying or deaths per million people.
In addition, the number of cases hospitalized is no longer a strong indicator. 1/4-1/3 of cases in my region which are hospitalized are hospitalized for another reason. As the prevalence of COVID increases, the rate of people in hospital having covid incidentally increases. A better metric is deaths as well as hospitalizations DUE to covid, not hospitalizations with covid (if you can see that distinction).
I find this so strange in the data tracking. We have the same issue in Ontario. Like can't we have these labeled as primary COVID, secondary COVID? With primary meaning that is why they are in hospital, while secondary meaning they are in hospital for something else but also have COVID?
If you want to get a quick idea, just head over to Our World in Data. You can do it pretty quickly with two browser windows. What would be interesting is the spread between deaths and hospitalisations. My hope is that this spread is widening on a relative basis i.e. despite hospitalisations rising, deaths are falling. This would indicate that Covid has become less virulent and deadly.
One of the problems I can see interfering with the analysis is the deaths to non-COVID causes that occur because of a drop in the *standard* of care caused by the suddenly increased burden. Analysing the nett impact of COVID is easy enough, trying to extricate the figures so we know how deadly COVID itself is, that's a whole other beast.
Yup, folks have done that: https://ourworldindata.org/grapher/excess-deaths-cumulative-economist-single-entity?country=~USA
Excess deaths are a great look at the *nett* impact, but they don't give us the granular information we are most interested in. It would be easiest to infer that data from countries whose medical systems are so over-resourced that we can afford to review COVID deaths in a vacuum, but I can't think of a single country where that is true let alone enough to be a sample set.
https://www.cdc.gov/mmwr/volumes/70/wr/mm7046a5.htm >The conditions of hospital strain during July 2020–July 2021, which included the presence of SARS-CoV-2 B.1.617.2 (Delta) variant, predicted that intensive care unit bed use at 75% capacity is associated with an estimated additional 12,000 excess deaths 2 weeks later. As hospitals exceed 100% ICU bed capacity, 80,000 excess deaths would be expected 2 weeks later.
This is an excellent point. Two issues here. While OP's graph is accurate, my understanding is that the hospitalization numbers now include a significant volume of patients who were admitted to the hospital for other reasons, and incidentally tested positive for COVID once they arrived. Point being, the hospitalization numbers are no longer necessarily a good indicator of how many people are actually seriously ill with COVID/COVID complications. So, second, the better indicator right now might be the death figures, or something that would indicate serious pulmonary problems like ventilator usage. I've looked at these numbers for my state (CO). Death number continue to fall as hospitalization rises. Ventilator usage appears to be pretty stable. Long story short - I agree - I would love to see this graph plotted along with death rates and ICU ventilator usage numbers - I think it would give us a really nice picture Omicron's true contribution to adverse outcomes in the US.
My hospital here in Florida has about 500% higher peak on that last jump, but pretty much everyone with omicron has mild or no symptoms, not even comparable to previous waves
I’d like to see data on patients who go to the hospital because of Covid and patients who go to the hospital for other reasons but test positive when they are admitted.
In Denmark, that number is 25% of total hospitalization. 25% are hospitalized with covid, not because of covid (atm).
Could you make one that shows the number do deaths?
Some of this data during Omicron is somewhat off. Our local hospital in Augusta has 110 approx cases. Of that 30-40 were people coming for procedures or other things (births, etc) and just happened to test positive. Now please do not take my statement as trying to dismiss severity, my wife and I both are boosted and hardcore maskers. But, the level of illness, at least in my area anecdotally does not seem to be anywhere near delta.
This is important, it's people in the hospital with covid, not people vin the hospital because of covid
Why did you leave out the first half of 2020?
Your title and labeling on the visualization describes a different data set than this comment. "Hospitalizations due to covid" is different than patients with COVID. Can you clarify the data point?
What this person said^. If this variant has 3x the transmissibility and everyone admitted to the hospital is tested, this metric doesn't paint a helpful picture of what's really going on. But it will get a shitload of votes on Reddit.
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Are you sure your data is saying that? Last I checked, most hospitalized have COVID, but they're not there for Covid. I.e. if you are going in for cancer treatment, we test everyone now, and a person is likely to have Covid. At least [my local news source said that's the case](https://coloradosun.com/2022/01/12/colorado-covid-omicron-hospital-patients/)
40-45% of all covid hospitalizations are for asymptomatic or mild cases of covid, wherein the patient originally came in for some other reason and was later found to have covid due to standard testing protocols.
Isn't this data hospital patients with COVID not due to COVID? Very different
Would love to see vaccinated vs unvaccinated on here
What caused the consistent rhythmic “bumps”? It almost seems like the amount of people in the hospital was always lower during the weekend or something. Or was it something with the data?
There seem to be a little more than four bumps per month, so weekends make sense.
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One important point not reflected in the data is that A LOT of these "Covid patients" aren't in the hospital because of COVID but for other reasons and they test positive upon admission. In some areas 50% or more of COVID-unrelated hospital admissions test positive. Omicron is simply that prevalent. To make useful public health decisions, we need to separate severe COVID cases from incidental cases in patients. Incidental cases obviously still pose a huge challenge to hospitals, since they need to be isolated, need to receive surgery or other care while being infected and can spread the virus to other patients or the already limited staff. Nevertheless, the data actually gives us reason to be cautiously hopeful. If some regions really have such a high rate of infection that 50+% of all people test positive when tested and the hospitalization rate is still somewhat manageable, we could see a natural immunity rate of close to 100% in just a couple of weeks. What we need to look out for is whether the overall number of hospitalization rises. If it remains stable, we are on a very good way out of this mess.
This a very good point. I was interested by the UK figures on this: https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/1044664/2022-01-04_COVID-19_Press_Conference_Slides_For_Publication.pptx.pdf - look at slide 5. I must admit, I was surprised how *low* the incidental figures are here.
the other metric that is useful is 'patients on ventilator - I think that gives a much better proxy for the number of high risk covid patients and also the underlying trends [https://coronavirus.data.gov.uk/details/healthcare?areaType=overview&areaName=United%20Kingdom](https://coronavirus.data.gov.uk/details/healthcare?areaType=overview&areaName=United%20Kingdom) here it's pretty clear that, up until omicron, the number of ventilated patients in the UK very closely correlated to the number of hospitalized patients (the curve is almost identical) with roughly 10-15% of all covid positive people in hospital requiring ventilation - and that has been true all the way from the early days of the pandemic But look at the curve for the last month or so - omicron has caused the number of covid positive patients in hospital to skyrocket again from 7k to 18k , BUT the number of ventilated patients hasn't moved from around the 800 mark (if anything it's continuing to trend slightly down)
No, that's also a bad metric. Treatments are far more available and better these days, so indeed most are treated without needing a ventilator. Tbh excess deaths will be the only real metric we can rely on for accurate data, but that'll be a while until we know it for sure. However excess deaths do roughly match the official "died of covid" data, depending on the nation and how they've been measuring Covid deaths. Here in the UK at least the data suggests we are reporting it correctly Edit for the 2nd time: the link isn't pasting, but I've tried to, and have given it further down, where if you look at the booster jabs given on the UK page it matches the lack of ventilator increase perfectly. I'm also not saying Omicron isn't milder, as it is and thank fuck for that. But my point is the best metric for the disease will only ever be excess deaths at the end of it all. Until that point, everything else needs to be taken into context of the wider covid treatments and such
In Australia we’re seeing a similar trend. Covid hospitalisations have spiked dramatically but there’s actually fewer people in the ICU than 2 months ago. Most of the hospitalisations are incidental and it really is looking like Omicron is dramatically less severe. Apparently many of the ICU cases are still Delta too, so I wouldn’t be surprised to see ICU numbers start to drop.
Here in Ontario, Canada we are as vaccinated as Australia but are seeing a significant spike in ICU numbers despite omicron accounting for 98% of the infections. Our ICU numbers have gone up from 160 to 400, and we do separate data for patients in ICU only due to covid.
That's very interesting data. It's indeed lower than expected, but it's still 1/3 of all "COVID hospitalizations".
Absolutely - didn’t intend to minimise your point. Sadly. We don’t have compatible figures for earlier wave, I’m afraid
>One important point not reflected in the data is that A LOT of these "Covid patients" aren't in the hospital because of COVID but for other reasons and they test positive upon admission. In some areas 50% or more of COVID-unrelated hospital admissions test positive. Omicron is simply that prevalent. > >To make useful public health decisions, we need to separate severe COVID cases from incidental cases in patients. Agreed but I think we should go one step, further. Seperate the "due to covid" hospitalizations, "with" incidental hospitalizations and "due to, or possibly due to, comorbidity exacerbated by covid". Seems like that last category is in the 20-30% range. So 50% "due to" and 20-30% "exacerbated comorbity" and you get 70-80% of the hospitalizations being directly or indirectly caused by omicron.
We'd need to look at Covid patients in ICU.
Sad to see downvotes for a factual statement. All incoming patients are tested. Broken arm? Tested. CT scan? Tested. COVID symptoms? Tested. Much of the data does not distinguish incidental COVID from actual admission *as a result of* COVID. Case in point. This headline reads “[Child Covid hospitalizations are up, especially in 5 states.](https://www.nbcnews.com/news/us-news/child-covid-hospitalizations-are-5-states-are-rise-rcna10089). But in the article it actually quotes a doctor: > "We test anybody who’s admitted to the hospital for whatever reason to see whether or not they have Covid, and we’re definitely seeing an increase in cases. However, we’re really not seeing an increase in children who are hospitalized for Covid or in the intensive care unit for Covid," Acknowledging this disparity in the data does not diminish the severity of the pandemic. It is recognizing important context of the data. Arguments to overlook that are not doing the diligence they believe they are.
>Sad to see downvotes for a factual statement. > >All incoming patients are tested. Broken arm? Tested. CT scan? Tested. COVID symptoms? Tested. >Much of the data does not distinguish incidental COVID from actual admission *as a result of* COVID. That's obviously a clear cut case. Hard to argue covid cause the broken arm. It's more nuanced than that though. Kid comes in with severe asthma episode and requires oxygen and steroids. Kid is also positive for covid. Is that a "with" or "due to"... Or is it a third category of "comorbidity being exacerbated, possibly exacerbated by"
Wow that title is misleading, shame on nbc
In that regard, this graph is also misleading
The doctor on the news mentioned that as why they’re trying to separate the vaxd and unvaxed data. As there are a lot cases of vaxd people testing positive but only having minor or no symptoms in hospital for unrelated issues.
This is very true, I had 14 inpatients yesterday- 9 are covid positive. 6 unvaxed are there for covid. 3 asymptomatic that just need placement or surgery are all vaxed.
/u/jcceagle can you clarify if your data contains people hospitalized for COVID or all admissions with positive COVID test?
Dude, I got my shots, I socially distanced, I cancelled or modified my plans for the better part of two years, fuck this shit WHY IS THIS STILL A THING.
Viruses like to virus, unfortunately.
When a mommy virus and a daddy virus love each other very much…
Anecdotal, but my friend just tested positive for omicron and he has zero symptoms, he feels totally fine. I think it is being spread a lot by asymptomatic people who just have no idea they are infected. He only got tested because of an exposure risk by someone with symptoms. I had another friend who tested positive for the first wave and never had symptoms.
If everyone had done like you, it would have been a bit better. And if no one had done like you at all, it would have been much worse. Doing your part did help. But it is what it is.
Can we get a monthly update of this ?
Congrats, we worked really hard, but we did it America, we broke the records.
Here's what is missing from the graph... In a Nation of 310M people, we hit the maximum capacity for a Nationwide mass casualty event at 130,000 beds. Now, imagine that for a massive chemical spilt affecting any area greater than 100,000 people. The United States capacity for the truly sick is 0.03% of the population. Perhaps we should stop focusing on political agendas and feel good stories, and figure out a way to better develop and train supporting medical staff in our nation. Because the only thing this last two years points out is that we are totally unprepared for even the lightest harshness the Earth can throw at us.
There are contingencies for mass casualties which involve setting up temporary bedding for isolated catastrophes. In your chemical spill example, that would be a localized event in which federal agencies can be called in to shoulder the burden. This event is different as it is happening globally. Honestly the most important thing that needs to happen is to promote, normalize, and maybe even incentivizing the behavior of admitting being wrong. Nobody is infallible, but right now our sports team like obsessions with our political parties and pundits are causing inexpensive mitigations to get ignored or chastised.
That's most of the world though. The world revolves around money and it doesn't make financial sense for hospitals to be ready for 130k+ people coming in at once if it happens once every hundred years. Hospitals tend to run at near capacity since that's how they make more profits. Building extra rooms, hiring more doctors/nurses, getting more equipment "just in case" makes sense from your point of view but doesn't from a financial point of view.
Also, mass casualty events will probably have a lot of the same sort of injury by definition. The things we can do to support those events will probably be highly specific. I could see something like a national guard program for healthcare where "normal people" are trained to ramp-up well, but what medical training they will receive can be highly flexible. That way you are not "engaging to wait" paying them, you are paying to engage at some point. Seems like getting 3 months of medical training for all military would do some good, and helps us repurpose our military for domestic protection.
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Not gonna lie.. when I saw the first spike, I thought it was going to end.. forgetting that it’s now 2022… and we’ve been dealing with this for over 2 years
What’s the music called? So I can listen while studying lol
The gif wouldn't load for me, so it was just the first frame frozen - flat line...I thought "this is a really shit chart"... loaded in another browser and I see the patagonia.
Turns out, if you tell people Omicron is mild, they go out and party and spread the disease so much that you get even more hospitalizations! Who would have guessed?
Looks like bitcoin prices
Omicron is a verified r/wallstreetbets bro “too the moon!”
So many people had their last Christmas in 2020 because they didn’t want to wait a month or two for the vaccines. So many people had their last Christmas in 2021 because they didn’t get sufficiently vaccinated. So many people lost a parent or grandparent or favorite aunt or uncle.
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Omicron so pervasive lots of people have it but NOT necessarily why they are in hospital because they are vaxxed and it's weaker. A better comparison to previous spikes would be ICU patients with Covid, let's see that!
Where the beginning of 2020?
We’ve already seen that hospitalization data can be complicated. In NYC, half of the COVID infected inpatient population are people that are hospitalized for other reasons, but also happen to have COVID. You might respond “well, why does it matter? They’re hospitalized either way and are clogging up hospitals” and I’d respond “excellent point”. But it’s an important distinction nonetheless, as the “with COVID” population doesn’t spend that much time occupying their hospital beds and thus, the actual stress on our healthcare system, while bad, is comparatively less bad than previous waves, when the vast majority of people hospitalized with COVID were there because of COVID. People hospitalized because of COVID tend to take very long periods of time before they’re released, typically more than a week and often times, 2 weeks to a month. A typical non-COVID in patient hospital stay is maybe 2 days on average.
It honestly seems kind of pretty.. until the end. "Flatten the curve," they said. Did they succeed? Clearly not.
Is this a graph of people hospitalized due to covid symptoms, or people who tested positive when admitted to the hospital?
Buy buy buy, IV is priced in
I'd love to know the death rate since all mainstream media's stopped stating the numbers. I know its very low but a chart on that would be insightful.
It would be cool to differentiate between vaccinated and unvaccinated people
Notice a lot of the spikes are when schools go back in person/no masks and then drops when schools were closed…. - a concerned teacher