Sure is, which is why it's odd we've been bombarded with endless graphs with months of predictions, over the past 2.5 years.
Shit like schools releasing plans ahead of the school year that they then immediately ignore because otherwise they'd have to close in the first two weeks of school, when it was fucking obvious the numbers would be like that around that time, just from looking at the graph and knowing more-or-less how disease spreads. Or "Ok stop masking and open up restaurants wait oh shit it's going up again I thought the tiny dip we saw would continue forever, for no good reason". Just baffling levels of data-illiteracy.
But not a lot of long-term prediction graphs. Who was publishing those?
[EDIT] Wait, I did see total-deaths-at-time-X predictions with/without measures, and with/without vaccination at high rates. That's true.
[EDIT EDIT] Is there a tone issue or is my having seen vanishingly few graphs for all of COVID that tried to predict trends more than a week or two out an outlier experience, and those were in fact extremely common in, perhaps, media I didn't look at? Truly, the main problem I saw locally was an astonishing near-complete failure to consider trends and likely projections, over and over again and often by the same people, who seemed weirdly incapable of learning a very clear lesson, rather than too many projections looking too far out.
But if you're actually interested, you should go and read the papers used for modeling yourself, since the odds of finding a rando on hacker news who is an actual epidemiologists is zilch. The ones who were public communicators that I followed over COVID were the podcast "This Week in Virology" which is just about the best resource you're going to find, and the blog "your local epidemiologist", who is also fantastic
https://www.science.org/content/article/nih-says-grantee-fai...
https://www.nature.com/articles/d41586-022-01209-w
https://theintercept.com/2021/09/09/covid-origins-gain-of-fu...
But it's probably fine and we probably shouldn't worry about the possibility of a global pandemic or of mutation of Ebola into a more transmissible form.
And gain of function research is 1: real 2: fucking insane and 3: a plausible way we would have a true captain trips style pandemic.
A lot of viruses could and become disastrous, but that’s a long shot.
I generally agree. I believe there is some lag time before dropping dead. Fast air travel seems like a good way for this to spread over a wide range. If I remember correctly, CDC was involved in some Ebola cases about 10 years or so ago due to travellers. The manpower required for the precautions to prevent US spread for just 2-4 infected people was massive. I would guess we would be overwhelmed and it would start spreading here if the numbers were in the dozens.
I'm not saying that would be likely this time, but the likelihood would go up if there was a less deadly mutation. Operating on previously true beliefs is likely to cause the most damage.
About a 2021 outbreak: "The Ebola virus is known to persist in some survivors, particularly in places where it can lay low from the immune system, such as the testicles or eyeballs. A 2016 study reported resurgence of the virus in a survivor’s seminal fluid more than 500 days after the initial infection.
Still, the more than five-year span was “shocking” to many virologists and public health experts. And it raises a variety of concerns for the many survivors of past outbreaks, some of whom may have had mild cases of Ebola without realizing it. In particular, many people known to have survived Ebola face stigmatization, and the possibility of years-long persistence is likely to amplify that problem."
As far as I have heard, ebola outbreaks are almost exclusively in poor third world areas with generally bad sanitation and cultural practices (such as washing the recently deceased body) that contribute to transmission by contact with infected bodily fluids.
In contrast, the last time the general public has had an issue with a pandemic has been so long ago that deniers and downplayers had an easy game with their bullshit. Had wearing fucking masks not been that politicized, I'd wager a very good portion of the 6.6 million people that died to COVID would still be alive. And to come back to my gay friend, at least in his community there were almost no COVID cases.
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4495366/
The virus apparently just wrecks the immune system right off the bat, allowing it to rampage throughout the body unchecked. Hence immune-system-support therapies are being worked on:
> "EBOV is able to evade innate and adaptive (both humoral and cellular) responses by encoding for multiple viral proteins that inhibit both type-I IFNs synthesis and response, by masking viral epitopes by glycosylation processes, by deregulating inflammatory response, by preventing DC maturation, thus resulting in a catastrophic failure of innate and adaptive immunity. Thus host factors have a key role for viral replication and release, and may represent good targets for therapeutic strategies."
The for-profit pharmaceutical system isn't that interested in this, as not many people or governments in Africa have the funds to pay for research, production, and what is it now, a guaranteed 15%+ profit margin?
Their graph has two lines: (month 0 == december)
- totalcases = 180*month+300
- totaldeaths = 83*month+84
Recent experience with covid shows that usually epidemics initially grow exponentially.
The slide shows that they are actually just forecasting (month * 200) cases which is obviously not the way you should do this. The slide also has a bar chart with a line between the bars, which is a stats-bad-smell too (at least shows that whoever pulled this together doesn't understand how to display data).
I know this is a developing nation that won't have the same level of availability of statisticians and epidemiologists, but it's worrying how basic this is.
https://www.telegraph.co.uk/content/dam/global-health/2022/1...
1) The forecast appears to be "200 new cases per month" (i.e. Month 1 is 200 cases, Month 3 is 600 cases (3200) and Month 4 is 1200 cases (6200)). This is far too simplistic, and should probably follow an exponential/logistic curve if r>1.
2) The graph has simple stats failures like plotting a line between a bar chart.
Doesn't give me too much hope for the other 15 slides...
(The above isn't to say that it isn't a scary situation - clearly this is an awful situation which needs a huge amount of support. But the apparent quality of analysis does worry me that decision makers might not be working on great information)
There is a place that accepts products that are obsolete and reusable and they have a section dedicated to PPE since a lot of outfits obsoleted their PPE inventories once Covid was better controlled.
They also have a shit-ton or more of other things that can be repurposed from their original tasks.
Repurposed Materials - Sanitary stuff [0]