The death toll for Covid-19 in Nembro, Italy
corriere.it
corriere.it
I did hear rumors of Japan doing this intentionally to make it look more under control than it was.
Another possibility is that medical resources are being monopolized by covid patients, or people don't want to go to hospital for fear of catching it themselves. This situation is still caused by covid but wouldn't be shown in the reported deaths from covid.
The article brings up a valid concern, but doesn't explore any other possibile explainations which is irresponsible when people are already panicking.
When you still have ventilators, only a few very elderly/unlucky die...
So a country with 10,000 cases and 1,000 ventilators can have 20 deaths, and another with 10,000 cases and 500 ventilators might have 400 -- if of the 10,000 cases in both 520 need ventilator... (and some die, whether with ventilator or not, but many wouldn't if they had ICU/ventilator treatment).
When things are not above capacity, mortality is 0.5% or less. After reaching capacity, mortality jumps 10x or more.
Age distribution can only account for variations within, at most, a factor of two.
What % of people actually survive after being on a ventilator? Because I've seen various studies and anecdotes of this for C19 specifically, with results ranging from "basically no-one" to "80%, at least temporarily, but hardly anyone is actually out of hospital yet so maybe they're going to die later".
Beyond C19, this study suggests roughly something like 50% long-term survival IIUC: https://www.ncbi.nlm.nih.gov/pubmed/26003390
Ventilators are invasive things that themselves can do lung damage. Fairly common for people to choose not to go on them in end-of-life directives.
Is that mortality rate consistent across different underlying causes?
Italy's health care is among the best in the world, and Lombardy's is several points above the Italian average.
Germany has apparently 2.6 times the amount of IC beds available in proportion to the population- in the Covid epidemic this should offset the reach of maximum capacity by a week.
What does that even mean? The UK isn't testing unless you need hospital care (or you're special, e.g. Prince Charles, Boris Johnson, Idris Elba), aren't all of those patients somewhat critical? Or is "critical" just "hooked up to a ventilator" in which case it could be limited by the number of ventilators instead?
Compare the age distribution of infections in Iceland versus the Netherlands for instance.
https://twitter.com/alexandreafonso/status/12435570137597009...
We have every reason to think that just as large a fraction of the 10-19 year olds in the Netherlands have gotten this in the Netherlands as in Iceland but when it stays as a cough and light fever many medical regimes are never going to test those cases.
And countries have different demographic profiles, though not enough to explain a 10x difference. And medical systems get overwhelmed in some places which could possibly be up to a 10x difference in a really cases.
Germany has tested a lot and found a lot of cases earlier in the disease progression. I'm sure their death rate will rise like S.K.'s did. Not all the way to the 8% - 10% we see in Spain and Italy, but I'd guess up to 2%.
That is probably happening in Japan because of lack of testing (it's almost impossible to get tested) and ultimately "up to the physicians" - and as you mention it's also possible there are some strict government guidelines to make it look less serious than it actually is, but who knows...
To be exact, this group of deaths would be caused by the fear of COVID, as you say.
Tangental note, but this caught my eye. It's exactly the kind of comment I would expect to hear in a movie about a global disaster. "I hear Japan is hiding their numbers", "I hear China has a secret cure", "I hear Missouri is untouched by all of this", "I hear..."
I would appreciate it if we avoided this kind of hearsay on HN during these difficult times.
I decline. It might be what coopsmgoops suggests, or it may be something else. I don't posess the facts and therefore I won't speculate on matters of public health.
Yet they stick to each other like sardines in a can when they take public transport every single day in Tokyo and Osaka - and we are talking about dozens of millions of people who transit every single day. That should be the primary mode of exposure especially since masks have completely run out in Japan for months.
So, unlikely to be a good explanation, sorry.
But if it's a real difference, the possibility of genetic resistance ought to be explored. It's not that it would likely make any practical difference. But it would at least be interesting, and one never knows.
This graph makes it quite clear that Japan is hiding their numbers (also Iran and South Korea):
https://aatishb.com/covidtrends/?country=Australia&country=C...
The Graph also shows that China either has a cure, or is fuzzing their numbers as well.
https://www.bloomberg.com/news/articles/2020-03-24/china-s-h...
Japan, Iran, South Korea, and maybe China are all fuzzing their numbers:
https://aatishb.com/covidtrends/?country=Australia&country=C...
Notice how they are the outliers compared to a ton of countries.
Are you sure they are "fuzzing" their numbers or a matter of confirmation bias here?
1. Deaths related directly by Covid-19. (either the disease itself, or the underlying conditions got worse by the disease)
2. People that didn't have the coronavirus, but died because they couldn't get the usual care due to hospitals being totally overwhelmed (things like heart attacks, strokes, car accidents, insuline/asma shock, etc... turn into death sentences)
Same as in war, while many deaths are caused directly by the fighting, a lot of the other extra deaths are indirect (famine, disease... etc)/
We can actually expect the mortality rate is a lot lower than 1% if the hospitals are not overloaded.
Counterpoint as at March 23rd: “Among 3,711 Diamond Princess passengers and crew, 712 (19.2%) had positive test results for SARS-CoV-2 (Figure 1). Of these, 331 (46.5%) were asymptomatic at the time of testing. Among 381 symptomatic patients, 37 (9.7%) required intensive care, and nine (1.3%) died (8). As of March 13, among 428 U.S. passengers and crew, 107 (25.0%) had positive test results for COVID-19; 11 U.S. passengers remain hospitalized in Japan (median age = 75 years), including seven in serious condition (median age = 76 years).” - https://www.cdc.gov/mmwr/volumes/69/wr/mm6912e3.htm
So mortality rate is 1.3% and expected to rise, but that is probably skewed by age cohorts, so rate in countries with more young people than a cruise ship might be expected to be lower.
I have to assume being in lockdown suppresses other 'normal' causes of death (fewer car accidents, or conventional disease spread). Depending on how long these lockdowns really last, it could actually dent the real impact of those causes of death, making the covid peak look slightly smaller vs the average.
For example, maybe the ICU beds were full for a month, and in that time they would've saved 96 people, but couldn't.
Edit: actually, i guess if you also looked at the top 10 typical causes of death, seems like you could account for it (ie, heart attack, MVA, or whatever would show abnormally low numbers).
> In the hypothesis - not at all remote - that all citizens of Nembro have caught the virus (with many asymptomatic, therefore), 158 deaths would equate to a lethality rate of 1%. That is precisely the expected and measured lethality rate on the Diamond Princess cruise ship and - made proportionally by demographic structure - in South Korea. We have made exactly the same calculation for the municipalities of Cernusco sul Naviglio (Mi) and Pesaro using exactly the same methodology. In Cernusco the number of anomalous deaths is equal to 6.1 times those officially attributed to Covid-19, also in Pesaro 6.1 times. But even more staggering are the Bergamo figures, where the ratio reaches 10.4.
This seems an unreasonable assumption, no? I don’t think any models predict a 100% infection rate: herd immunity would kick in beforehand, at the least.
If true, then the death counts and death rates would be higher. E.g. with 50% infection, deaths are 4x, 12x and 20x, and the death rate is 2%.
Of course, you also have to account for local demographics.
Edit: I checked the numbers for Bergamo, and they’re troubling. It’s a city of 122,000, and it has a 0.5% death rate for the whole city.
Further, people are still sick and dying, so these death rates will only go up.
Alternatively, immunized people.
If an epidemic sweeps through and infects most of the "herd", that herd has herd immunity.
In time as individuals born and others die, the fraction of the herd that is immune goes down and the herd is vulnerable to the same epidemic.
But with vaccination, herd immunity can be sustained indefinitely. With no further epidemics. But, as measles has shown, only as long as a high enough fraction of the herd vaccinates.
Of course it is also possible that if enough of the herd is immune for long enough that the epidemic goes extinct. This takes a lot of work but is how we got rid of Smallpox
Effective contact tracing and social distancing can achieve the same end, which is how we got rid of SARS.
I don't think an R0 that high is plausible, which suggests that only a fraction of the population has been infected in Nembro. That, unfortunately, suggests an even higher mortality rate, at least when the medical system is overloaded. The decline would then be due to the effectiveness of quarantine measures.
The hope would be that by publishing this work, more people in other cities are prompted to analyze excess deaths and note whether there are any abnormalities during the time the pandemic hit locally.
In any case, why not make an effort to reach out to the cities in question and ask for an explanation?
I have found the averages from last year, but haven’t seen any more up to date data on that.
“Over the past few weeks, a terrible affliction has been spreading across the world. Otherwise healthy and productive members of society have been infected with this devastating illness that causes them to fire up Excel, Python or R and start extrapolating the latest numbers of confirmed CoVID19 cases in their town, state, country or even the world!”
https://medium.com/data-for-science/epidemic-modeling-101-or...
That would be why this response is more intense.
H1N1 is a newer variant of seasonal flu. But it’s not nearly as lethal and it doesn’t usually leave survivors with the kind of lung damage COVID-19 does.
It’s about carrying capacity of the healthcare system. Flu already strains hospitals, but COVID-19 is multiple times worse so people go without treatment because here aren’t enough beds or doctors and nurses. That’s the difference.
“CDC estimates that the burden of illness during the 2017–2018 season was high with an estimated 45 million people getting sick with influenza, 21 million people going to a health care provider, 810,000 hospitalizations, and 61,000 deaths from influenza.” (emphasis mine)
https://www.cdc.gov/flu/about/burden-averted/2017-2018.htm
Will be interesting to see what all of the social distancing/quarantine does for the flu. The map at healthweather.us has been pretty interesting to watch. Personally I think they just screwed up the 'atypical' visualization by stretching it back to March 1st rather than showing present, but if you click on any county and scroll down you will see that they are almost all below standard observed illness for this time of year.
Flu isn't so incredible. What's insidious is that it's just not bad enough to make it worth the cost of prevention (and it's hard to prevent -- the vaccine is a luck shot every year, as flu has strains and mutates), but it's the rumble before the storm, as one of a family of viruses of varying parameters that occasionally strike far worse (every few decades).
A general solution to viruses, something like gene therapy, would be a very big deal, perhaps more than cancer treatment, in eliminating perhaps the largest non-self-imposed threat to humanity.
> We’ve updated our atypical Illness map to reflect the cumulative amount of atypical illnesses we’ve observed since March 1 — previously this map reflected only new atypical illness, updated daily.
Whyyyy??? that's incredibly stupid way of obscuring information by multicounting, that at best adds no value because the integral of an exponential is still exponential, and at worst makes a hash of it. The only rationale I can see is to make the numbers bigger and more clickbaity.
It's not clear this can be extrapolated to other countries. (In fact, they reference South Korea as a benchmark for the true value.)
Nembro should have had - under normal conditions - about 35 deaths. 158 people were registered dead this year by the municipal offices. That is 123 more than the average.
In the hypothesis - not at all remote - that all citizens of Nembro have caught the virus (with many asymptomatic, therefore), 158 deaths would equate to a lethality rate of 1%. That is precisely the expected and measured lethality rate on the Diamond Princess cruise ship
The author appears to be using the total dead (158) rather than the excess dead (123) for this calculation. That suggests that rather than the 1% "exact match", the lethality rate should be 0.78%.So would the rate actually be a bit over 1%? Bergamo’s was about 0.5% by the same metric incidentally.
Let me add another: fear and hopeless. These kind of emotions may make people more prone to get sick with other illnesses and depress the immune system so it does not fight back as it really could.
Beyond a certain point I think it's actually less scary it's more people have it, no? Because it means that the serious cases are a smaller proportion.
It doesn't seem plausible that random chance could account for 2020's, though.
Also, consider that it happened exactly at the same time coronavirus deaths spiked, which seems vanishingly unlikely to be a coincidence.
https://www.rfa.org/english/news/china/wuhan-deaths-03272020...
(Note: This article is much more speculative and weakly-sourced than the Italian one. Also, be aware that RFA is funded and overseen by the US government.)
If a person has a terminal disease and has N months to live, but dies sooner from a car accident, the net deaths did not increase. This person was on the death queue.
edit: bring the silent downvotes. Also, a number of my family have tested positive for this virus.
"They would have died anyway" is true of anyone and tends to mask critically important information.
We need to test for those who had it and didn’t die. All evidence is pointing at orders of magnitude that had it but didn’t show
1) Nembro, in the province of Bergamo, is the municipality most affected by Covid-19 in relation to the population.
2) hypothesis - not at all remote - [is] that all citizens of Nembro have caught the virus ... Given the decline seen in the last few days after the peak, flock immunity has likely been attained in Nembro.
3) 158 deaths would equate to a lethality rate of 1%. That is precisely the expected and measured lethality rate ...
So, the worst hit city in the worst hit region, with collapsed medical system and elderly population; the absolute upper bound on possible deaths; and we get 1% until herd immunity? This, again, is the upper bound of ultimate worst case, based on the article.
Isn't this a huge revision DOWN from the previous 2.5-3-6-8-15% numbers people are throwing around?
EDIT: what's up with the silent downvotes? I'm quoting the central number and assumptions directly from the article and asking a question. Should I take it as "you are right but I dislike it"?
After a month or two of lockdown in Wuhan, the number of backlogged urns is tens of thousands, that is to be expected.
Original pre-correction here: https://archive.md/g1BDx#selection-2503.0-2507.171
> We have made exactly the same calculation for the municipalities of Cernusco sul Naviglio (Mi) and Pesaro using exactly the same methodology. In Cernusco the number of anomalous deaths is equal to 6.1 times those officially attributed to Covid-19, also in Pesaro 6.1 times. But even more staggering are the Bergamo figures, where the ratio reaches 10.4.