Coronavirus Mortality Rate
worldometers.info
worldometers.info
I'm not convinced that the current political climate in either Europe or America is prepared to do that.
This is already an accurate description of most fire departments and militaries around the world. It shouldn’t be too hard to accept that a similar necessity of spare capacity occurs for healthcare.
BLS says there are 334K at firefighters at $49k/yr.
There are 240k NPs at $113k/ye, 3M RNs at $71k/yr, 728K licensed nurses at $46k/yr, 300K lab techs at $52k/yr, and 1.5M NAs at $28k/yr. Go ahead and double that coat when you include MDs and Admin.
Ideally we want someone on a ventilator to be in an ICU and under a doctor's supervision, but in a crisis you can put a ventilator anywhere. A patient with COVID-19, will likely spend about 2 weeks on a ventilator.
Unfortunately, there are only about 60-70,000 mechanical ventilators in the entire US (and maybe double that if you include older less automated ones), and about half of them are for neonatal wards. [source](https://www.ncbi.nlm.nih.gov/pubmed/21149215).
10% of COVID-19 infections require mechanical ventilation. [source](https://clinicaltrials.gov/ct2/show/record/NCT04244591).
This means that if the US encountered an outbreak on the scale of what is happening in China, then we would also quickly run out of ventilators, and the mortality rate would be 2-4x what it would be otherwise, rather than the 1-2% mortality rate everyone is expecting.
The Diamond ~~Princess~~ Petri Dish Experiment, shows that at least 218 out of 3700 people are susceptible ( > 5.9% ).
If we knew how many of these would eventually need respirators then we could estimate a lower bound on respirators for a 330M population.
Working the other way around: 33000 respirators / 330M = 1 / 10 0000
so if 5.9% gets infected and we can only give 0.01% a respirator, then at most 0.17% of covid-positive people can be given a respirator.
This assumes they all need their respirators simultaneously (pessimistic) but also assumes the Petri Disk experiment stays at 5.9% (optimistic)
EDIT: what kind of query did you use to find the number of respirators in the US? How can I find similar numbers for European countries? How hard is it do DIY a respirator?
If we look at the international statistics for dead and serious / critical people per confirmed case, and interpret that as the fraction needing a respirator we get:
22 / 523 = 4.2% of covid-positives seem to need respirators
So we expect 4.2% * 5.9% = 0.25% of the population to neeed a respirator, while we only have enough for 0.01%, so assuming perfect triage of who needs it and who doesnt, 24 out of 25 who actually need one won't get one.
It seems like we really are heading to a CFR of 4.2% * 24 / 25 such that there will be at least > 5.9% * 4.2% * 24 / 25 deaths, where the 5.9% can only rise depending on Diamond Princess evolution...
so if containment fails it looks like 4.2% * 9.6% = ~ 0.4% of the population at large would die.
I feel like I'm missing something. What does this have to do with javascript libraries? Or does the JS stand for something else?
It goes without saying, that this is meant without any offense whatsoever
a) The stats coming from Hubei are adverse selected; they are from patients who already had severe enough illness to go to the hospital
b) A vast amount of mild cases are not diagnosed or tested, this is for reasons related to self reporting and minimal screening efforts globally
c) The virus spreads rapidly (R0 of 4 in some estimates) and has had 3 months to sweep through Wuhan ; there appears to be a lot of death in Wuhan but that may be because most of the 11 million population was exposed
Maybe I'm confirming a bias, but I believe its true profile is something like a more rapidly moving seasonal flu
There are mixed reports coming out of China that claim 60% of bodies are collected from homes, not hospitals, and that only 20% of the dead are being counted as "confirmed" COVID-19.
Also, we do know reliably that about 10% of cases overall, require ICU & mechanical ventilation. I would not characterize that as "vast amount of mild cases"
a) a faster spreading version of flu, which produces a greater overall quantity of severe cases, could be mistaken for a more virulent flu... which is what I believe most reports are doing now
b) the unprecedented lock down is because of the origins of the virus
https://www.preprints.org/manuscript/202002.0051/v1
There are also other hints that line up with this. The mortality rate in the recent 1000+ case study seems to be much higher in males, but the rate of smoking in China is also much higher in males, which could be a clue.
I don't think this assumption holds true. In a panic, many people are trying to get diagnosed based on rightfully held fear. These are people who have the energy to travel to many hospitals and stand in lines for hours. In some places, people who are seemingly symptomatic are also encouraged/forced to be diagnosed despite not feeling the need to go to a hospital.
Are there any epidemiologists here to answer how we account for unreported cases of e.g. flu in mortality rates? And if we don't, is it reasonable to ignore unreported cases of coronavirus as well, to compare like with like, or is there some factor I'm missing?
I mean, it seems likely that pretty much everyone who dies will be tested. Except for victims of auto accidents or whatever.
But it also seems likely that many with minimal symptoms won't be tested. Perhaps because hospitals are so busy that people can't be bothered. Or maybe because people are afraid of hospitals, because they're full of sick people. Or simply because there's inadequate testing capability.
So isn't it likely that mortality will always be overestimated for such specific diseases? As opposed to, for example, auto accidents or falls.
At least, that's what it seems like with all the tales of death certificates with cause of death as "Unknown viral pneumonia"
Not only that, but are the Chinese authorities going to accurately report that numbers?
If that's actually the case, of course.
Availability of test kits is the bottleneck for accurate statistics, and they aren't being used on the dead because there are many more living people who are symptomatic and need them.
But if that's true, it just confuses things more.
Anecdotal reports out of China estimate that less than half of the dead are taken from hospitals.
It won't help much with the R0 calculation, but it will give us a good idea for mortality, though it might take 3 weeks to get that number.
It is hard to find an actual name of a person behind this site. When I go to faq -> "Who .." there is another company called "Dadax" listed, but no link. odd
I am asking because people have sent me other suspicious sites over the last few weeks (wuflu.live).
I am not denying the virus, just questioning things on the internet.
There are crazy people on the internet, and many of them love to hold a grudge.
But what was really behind the numbers. Was it old people that were dying? Was it middle aged and young people? Was this some kind of stealthy virus that creeps up on you, and then just kills you?
It’s possible that it was a lack of medical facilities and equipment, that contributed to the crisis, and thus, contributed to the high initial death rates.
For example, when people started getting sick. The first batch went to the ICU, and took up available beds and medical facilities. These people had the highest chance of surviving. But then, the next wave came in and created the beginning of the crisis, and swamped the system. Then, the third wave came in and totally overwhelmed the system, that the hospitals couldn’t help them at all. They were turned away, and left to fend for themselves. These people started dying in their homes.
The system suffered such a massive denial of service attack, that it was impossible to help and provide service to everyone. Thus this created the shockingly high mortality rate during the initial days of the crisis.
If we are lucky, then this might remain true. So in other parts of the world with more medical facilities, knowing this might save people, and give them a higher chance of surviving this virus.
Stay strong, Wuhan!
Wuhan, Jaiyou!
We've been told that the majority of people will get very mild symptoms if they have it. So the actual number of people that have been infected is way higher since many will never even think of going to a doctor.
So the 2-3% case fatality rate is higher than the actual number. If the number of deaths is correct or close to correct.
The scary part is that the virus is so easily spread between humans so the number of deaths will skyrocket when compared to other epidemics. Let's hope they bring it under control soon and there's a vaccine in the near future.
I.e. If you managed to get care, the mortality rate is X, but without care, it is 10X or even more.
So to judge the current mortality rate, you have to know how many of the infected received care.
I also assume that hospitals are like the phone system. I.e. they do not expect mass load at the same time.
And this is on a healthy, young patient.
But it’s still a sufficient proportion to serve as a denial-of-service attack on hospitals, if the virus spreads throughout the community.
https://www.thelancet.com/journals/lancet/article/PIIS0140-6...
"Complications included acute respiratory distress syndrome (12 [29%]), RNAaemia (six [15%]), acute cardiac injury (five [12%]) and secondary infection (four [10%]). 13 (32%) patients were admitted to an ICU and six (15%) died."
In the population of those who are acutely unwell with this novel virus, you have to remember that there is a massive selection bias for those hospital doctors to see the sickest people. Myocarditis is unfortunately one of those things that is therefore probably to some degree expected. The real question is "what is the probability that you end up in this terrible situation given you are infected with coronavirus" -- and in order to do that, you need a good estimate of how many people have been infected (but not died or seriously ill!) with the novel coronavirus. This is very hard to do in Wuhan, and estimates vary by orders of magnitude.
[1] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3370379/ [2] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3533457/
https://www.heart.org/idc/groups/heart-public/@wcm/@sop/@smd...
https://www.jwatch.org/na48562/2019/03/05/china-cardiovascul...
https://www.medrxiv.org/content/10.1101/2020.02.10.20021675v...
Initial estimates of mortality rate are all over the place due to uncertainty in the data sets.
That said, the best estimate at the moment is around 2-3% and is subject to change as more data comes in.
--- Mortality rate ---
1918 Spanish Flu: 10-20%
2020 Coronavirus: 2-3% est.
1968 Hong Kong Flu: 0.5%
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The realization that China censors heavily makes both accurate, timely and complete reporting of facts much more difficult. Intermediaries are used to exfil data to Western journalists, but this is haphazard, slow and incomplete. A journalist who has contacts on the ground described the situation, including that a few bodies on the streets and in crashed vehicles (people who were too sick who failed to make it to a hospital) in central Wuhan were not being collected: https://www.democracynow.org/2020/2/7/laurie_garrett_china_c... We may never know the exact numbers because it's likely face-saving deception will be used for geopolitical and local political concerns.
It was far worse elsewhere; figures vary widely.
It says the mortality rate is 7.1%. Does that make the current flu in the US much worse than the Coronavirus?
Based on National Center for Health Statistics (NCHS) mortality surveillance data available on February 6, 2020, 7.1% of the deaths occurring during the week ending January 25, 2020 (week 4) were due to P&I. This percentage is below the epidemic threshold of 7.2% for week 4.
If you like, every year the flu is a low-level "pandemic" of a relative sort. It goes almost unnoticed like antibiotic/antimycotic-resistant pathogens that are rapidly becoming untreatable due to a combination of factors including over-prescription, meat agriculture, human over-population and low-cost travel.
Oddly enough, I used to work at a biomedical informatics department where one of the projects used commercial data from retail stores to predict and identify bioweapon exposure and pandemics from people buying OTC remedies and prescriptions.
I don’t know how to interpret this that’s why I’m asking.
It seems like the media is captivated by what seems like a relatively small number of deaths in China compared to the 12,000+ here at home.
A Chinese supplier of mine actually pointed this out when he told me to “stay safe” and I was like what the hell is he talking about, but then I googled it and now I’m like wtf.
The current nCoV outbreak is more worrying because the percentage of patients needing intensive care is very high, and because it looks very easy to spread.
Seems like the number is chosen so that you can say an epidemic is anything worse than the flu?
The point is: hantavirus was a rare disease but was hyped up in North America, MERS is much worse and has the potential to be a minor Ebola again and again.