tern Profile picture
May 3 53 tweets 7 min read Read on X
A lot of people have noticed it. In the past few years, a bunch of different infections in England have started moving together.
Spikes, dips, rising and falling in sync. Image
And not just the trough of the covid mitigation days.

Look at that weird mini-plateau on the right for both Lyme and Legionella. Image
I mean that's so extremely precise, isn't it.
🫤
I had the data handy for a few infections going back over the last 15 years, so I thought I'd run a pearson correlation on each of the pairs.
That's a
This is how much correlation there was among them *before* Covid arrived.
This is the correlation during the period 1/1/2016 to 1/3/2020.

What's this saying and how does it work... Image
Scroll your finger down the left side to pick an infection... like Measles... and then scroll along to pick something to see whether it's spread correlates with that condition... like Hep E.
So before Covid arrived, their correlation was +0.07.
Which means there's no significant matching pattern.
It's coloured kind of light brown.
Blue means it's perfectly out of sync... and red means it's perfectly in sync.
The darker blue, the more precisely this is up when that is down and vice versa...
And the darker red, the more precisely this is up when that is up, and this is down when that is down.
So things are a bit all over the place before Covid...
Some things are completely out of sync.
And some are completely in sync.
And some things are not at all in sync. Image
And remember, these are *annual* rolling totals, so this isn't about time of year, it's about yearly trends.
How do things change when Covid arrives...
How interesting is this, eh. Image
Hep C and the two Clostridia stand right out.

Hep C has hardly any correlation with the rest of them.
The same goes for Clostridium Perfringens.
And Clostridium Tetani goes negative across the board.
But the rest... 👀 Image
The correlation for the rest before Covid was, on average 0.038.
🫤
The pearson correlation after Covid arrived is 0.79
Hmm.
This was supposed to say "That's a way of putting a number value on how in or out of sync two sets of numbers are".

Now.

One of the incorrect theories for all of these coming into synchronisation is the old 'people weren't catching these during 2020 lockdowns'.

Which is, like I said, incorrect, because...
... some of these are things that people only ever have a problem with when their immune system is not working properly...
... and some of them are things that you *hardly ever encounter*...
... and some of them are things that you only have problems with when your gut is misbehaving...
and some of them are things that you only have problems with if your lungs are struggling...
... and suddenly, they've all synchronised.

(apart from Hep C, and those Clostridia)

BUT LOOK AT THE REST. Image
Let's just work through the mechanisms...
Covid can damage the immune system's command centre, especially T cells, making it harder to recognise and clear new infections.
That gets exploited by respiratory viruses (RSV, flu, rhinovirus), Hepatitis B (reactivation or flare-ups), Polyomaviruses (which are normally controlled by strong T-cell responses). Possibly tuberculosis in some individuals.
Covid damages the thin linings that protect your lungs and intestines. These are frontline defences against pathogens.
That can be exploited by gut infections like E. coli O157, Shigella, Campylobacter, and lung ones like Legionella, Pseudomonas, Streptococcus pneumoniae.
Long-term immune activation after Covid can throw the whole system off balance, sometimes overreacting, sometimes underperforming.
Listeria and other intracellular bacteria can hide better during immune confusion, and auto-inflammatory flares may also obscure or worsen response to real pathogens.
Covid infection can wake up viruses that were hiding in the body, often kept in check by a healthy immune system.
Exploited by:
Polyomaviruses
Possibly hepatitis B
EBV (glandular fever/mono/Epstein Barr, Cytomegalovirus, HHV-6/7, VZV (shingles), maybe even rare cases of measles SSPE.
Covid infection and its aftermath alters your gut and airway microbiota, the good bugs that help crowd out harmful ones.
E. coli O157, Shigella, Listeria and gut infections in general may get a competitive edge.
Covid infection can inflame and damage the blood vessels, compromising organs and spreading infections more easily.
That can help *so many* other infections.
Covid reduces 'secretory IgA', your local antibody defence on mucosal surfaces like the nose, throat, lungs, and gut.
Again, Covid opens the door, and... Image
And I'm barely even started.
Covid makes you more vulnerable to *many* bacterial infections.
Covid makes you more vulnerable to some fungal infections.
Covid makes you more vulnerable to many viral infections.
Covid infections damage you, and since your defence against infection is *you*, then you're more vulnerable to almost everything that wants to get you.
All those UTIs.
All those gut infections.
All those chest infections.
All those bugs.
Speaking of which, I'm off to make myself a sandwich.
Here are some of them with Scottish Covid Wastewater on the graph, @fitterhappierAJ
Image
Image
Image
Image
@fitterhappierAJ Those are rolling annual totals - I'll come back and do the weekly data tomorrow.
For those who think this is to do with vaccine uptake, here's vaccine coverage in England for these pathogens:

Hepatitis A, not routinely given (selectively offered to high-risk groups)

Hepatitis C, no vaccine

Hepatitis D, no direct vaccine (protection via Hep B vaccine)

Hepatitis E, vaccine exists (licensed in China), not available in UK

Polyomaviruses, no vaccine

Lyme disease, no vaccine

Legionella, no vaccine

Listeria, no vaccine

Shigella, no vaccine

Strep A, no vaccine

Clostridioides difficile (Clost P & Clost T), no vaccine

Cryptosporidium, no vaccine

E. coli O157, no vaccine

Campylobacter, no vaccine

Hepatitis B, 94.6% (at 12 months, 2024)

Measles (MMR1), 89.2% (at age 2, 2024)

TB (BCG vaccine), 78.4% (at 3 months, among eligible infants, 2024)

Streptococcus pneumoniae (PPV vaccine), 73.1% (adults aged 65+, 2023–24)

Whooping Cough (pertussis), 90% (at age 2, 2024)
For those who think this is all skewed by the lockdowns, here's the same heatmap for the time period after all non-pharmaceutical interventions were ended: Image

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More from @1goodtern

Nov 7
So... teeth eh.

I went to visit a 45 year old man in hospital today.
He's recovering from complications of his recovery from surgery after an infection... and he said that while he was ill, three of his teeth fell out.

So I thought I'd look up statistics on teeth...
Brace yourself.
No pun intended.
Read 44 tweets
Nov 7
Look out for sharp increases in the last couple of years.
Cervix. Image
Read 28 tweets
Nov 6
The five things you need to know if you're just realising that it's bad for you to keep catching Covid:
1
You can't properly reduce your risk of catching Covid and still look normal.
That may seem like an odd one to start with, but it's a truth you've got to get your head around.

You're either going to look normal and keep catching Covid endlessly, or reduce your risk of infection and not look normal.
Read 67 tweets
Nov 3
I have had another horrible realisation. It suddenly made sense of *loads* of things about the effects of covid infection itself, but it also made massive sense of why public health is missing what's going on.
🧵🙏
This is hard to articulate coherently, but I'm going to try.
They're trying to have the best of both worlds, the best of every world...

I'm fumbling for words here, but I'll get them right.

Please stay with me... ❤️🙏
Read 81 tweets
Nov 1
I just want to do a quick thread about the doubling and more of sickness absence of young doctors.

Some graphs with real genuine NHS data on them.
There is no equivalent dataset to this here in this country as far as I know.

The NHS is the largest employer in this country, about the sixth largest employer in the world.

So this database is *huge*.
It represents every single community in the country.
Read 45 tweets
Oct 31
I occasionally talk about how hideously incompetent the ukhsa is.

And, yes, it's hard to tell if it's hideous incompetence or plain malice sometimes.

Here's an example.

🧵 Image
This discussion of the autumn booster contains this piece of staggering inaccuracy: Image
This is *staggeringly wrong*:

"those who received a vaccine were around 43% less likely to be admitted to hospital with COVID-19 from 2 weeks following vaccination, compared to those who remained unvaccinated"
Read 26 tweets

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