Okay folks, still lot of uncertainty around severity of disease, but here’s what I’ve gleaned from latest data and many chats that @mroliverbarnes and I have had with the brilliant, tireless doctors & public health officials in South Africa ft.com/content/d315be…

Thread follows
Newest stuff first:

Data from @nicd_sa show that in Gauteng province, the share of Covid-positive patients in ICU or on ventilators is somewhere between 2-3x lower than it was at the same stage of the Delta wave 🤞 Image
This suggests a reduction in severity of outcomes, and we see something similar when we look at length of stay in hospital:

@nicd_sa gave me data today on admissions & discharges, and it’s clear that the gap between the two is shorter for this wave, suggesting milder illness 🤞 Image
Both of these patterns support what we heard over the weekend from @fareedabdullah0 and co, whose report from a Covid ward in Tshwane emphasised that a much lower share of Covid+ patients needed high levels of care, and their time in hospital was shorter samrc.ac.za/news/tshwane-d…
But as always, we need to consider not only the share of patients with severe disease, but the absolute number:

Unlike total Covid-positive patient numbers, which are close to Delta levels, the numbers in ICU and on ventilators are low, though they are rising too. Image
Those recent rises are clearer when plotted on a log scale, and we can see that if growth rates are sustained in the coming weeks (very far from guaranteed), the sheer volume of admissions could mean similar numbers of Covid patients in ICU

Small % of large number blah blah blah Image
But another crucial point made in @fareedabdullah0 report was that the majority of patients on the Covid ward were actually admitted for other reasons (though NB all receiving oxygen for Covid were unvaxxed).

There are several aspects of this that are worth discussing: Image
First, there has been much head-scratching over the apparent contradiction between that finding, and the finding in Tshwane-wide hospital data that over the same period of time "Most (87%) patients were admitted for COVID-19 symptoms" nicd.ac.za/wp-content/upl…
.@fareedabdullah0 believes this is likely due to different definitions: some hospitals record a patient as being admitted for Covid only if it is the sole reason for admission. Others may record "for Covid" if patient has visible symptoms regardless of primary cause of admission.
Another factor is that data on reason for admission was only recorded for 65% of patients, so strictly speaking rather than knowing that 87% of admissions were for Covid, we know that somewhere between 57% and 92% were admitted for Covid (by some definition of "for Covid"). Image
Whatever the true number, it matters for two reasons:

First, if a chunk of Covid+ patients are not in for Covid and would have been admitted anyway, then they are not adding to hospital pressure. Say 70% are admitted for Covid, creating additional load, but maybe 30% are not.
Second, this could be biasing *downwards* our estimates of severity.

During Delta we divided Covid ICU by all for-Covid admissions, but now we’re dividing Covid ICU by for-Covid *and a bunch of other people who didn’t know they had Covid*. Inflate denominator -> deflate severity
Here’s how this could change the picture:

Patients line shifts down, making low numbers of ICU & vent patients (less likely to be not-for-Covid) seem less surprising.

But even with 70% incidental assumption, ICU & vent share of Covid patients is still ~2x lower than Delta 🤞 Image
So a couple of very promising pieces of evidence for Omicron causing less severe outcomes, but once again, this does not mean "Omicron is milder".

As the endlessly helpful @rjlessells put it to us, this is what we would expect regardless given levels of immunity in South Africa. Image
So where does this leave us?

Well, let’s take a brief look at the less acute metrics: growth in cases, test-positivity and admissions (on log scale)...
Still steep rises, but 👀 that wiggle in the cases line:
1) Let’s be cautious. Growth picked up again today after dipping yesterday
2) But if it is real, it would show why "if surge continues for x weeks" extrapolations can mislead. No wave has gone on forever, regardless of NPIs Image
Analysis by @lrossouw and @pieterstreicher suggests the current wave in Tshwane, and Gauteng more broadly, may peak in next two weeks

As they demonstrate, if that happens, number of people in ICU for Covid is exceptionally unlikely to reach Delta levels.
To conclude
• Data suggests share of Covid cases developing severe disease is lower than with Delta
• But lots of assumptions involved in putting a specific number on the reduction
• This doesn’t necessarily mean "Omicron is milder", it’s also consistent with immune protection
Things to ponder:
• Lot of differences between South Africa and e.g UK. Age profile, vax, what variants people been infected with. All could affect how patterns from SA translate elsewhere
• Uptick in ICU and vents in recent days could be due to cases spreading to older groups
And finally some acknowledgements:
• Huge thanks to @fareedabdullah0 @SACEMAdirector @ShabirMadh @rjlessells @rashida_abbferr and others for taking the time to speak to us in detail
• Huge thanks to @nicd_sa for continuing to share invaluable data on the situation in SA
We have a couple more analyses of different data coming up in the next few days which we hope to shed further light on the severity question.

In the meantime please let me know if you have other suggestions for what we should be looking into here 🙏
Oh, and we’ll be back on here doing a Twitter Spaces session tomorrow where we’ll discuss all of this and more. Tune in at 2pm GMT / 9am ET , and do send us your questions in advance:

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More from @jburnmurdoch

4 Dec
Okay folks, time for a South Africa update, focused this time on severity of disease.

First up, the report from hospitals in Tshwane (the district furthest along in Omicron wave) is essential reading, as is thread from @miamalan samrc.ac.za/news/tshwane-d…
If/when you’ve read those, you’ll understand why I didn’t open this thread with the charts showing exponential rise in cases, test positivity & admissions, which I believe risk oversimplifying the much more nuanced picture set out in the Tshwane report.
The charts I’m now going to show are a direct response to the Tshwane report. I don’t believe any of these contradict what the report discusses, but I think they help to contextualise it and think about where things are headed.
Read 20 tweets
2 Dec
NEW: today’s update from Gauteng, now on a log scale to better show current trajectories.

Steepness of lines shows how much faster the growth in cases and positivity is now vs past waves, and hospital admissions are now steepening too as the acceleration in cases feeds through.
Here’s same thing back on linear scale.

The eagle-eyed among you may spot something here: hospital admissions were tracking the Beta wave and first wave in yesterday’s chart, but today they’re slightly steeper. How is that possible, since it still shows data for the same dates?
This is why:

South Africa’s weekly hospital admission counts are back-filled every day as new patient data comes in, so the figure for the week ending Nov 28 has been rising in recent days, from 580 in the data published on the 29th, to 788 in today’s report.
Read 10 tweets
30 Nov
NEW: we know cases rising fast in South Africa, but what about severe outcomes?

I spent yesterday pulling together hospitalisations for Gauteng province, so we can compare the fledging Omicron wave to those that preceded it.

So far admissions following ~same path as past waves.
Quick notes (1/2):
• For cases to be rising faster while admissions are on same pace may hint at a lower proportion of severe disease
• But this may also simply be the result of more infection-acquired immunity and vax
• Or of cases so far being predominantly younger people
And 2/2:
• Share of patients in ICU currently much lower than same stage of Delta wave, but may change if cases spread from being mainly young. Or may not, which would suggest T and B cells kicking in 🤞
• Please follow people on the ground incl @Tuliodna @tomtom_m @rjlessells
Read 6 tweets
25 Nov
Five quick tweets on the new variant B.1.1.529

Caveat first: data here is *very* preliminary, so everything could change. Nonetheless, better safe than sorry.

1) Based on the data we have, this variant is out-competing others *far* faster than Beta and even Delta did 🚩🚩
2) This is coinciding with a wider rise in cases in South Africa.

Again, currently we’re talking about small numbers (both of B.1.1.529 and of cases in SA overall), but there’s a clear upward trend. This may be a blip, but this is how waves start.
3) Aside from its rapid rise in South Africa, the other key reason for concern here is that the specific mutations that B.1.1.529 has are — based on what we’ve seen with other variants — known to be associated with greater transmissibility & immune evasion
Read 9 tweets
24 Nov
NEW: detailed thread on Europe’s winter wave and the contrast vs UK

What’s happening? Why the difference? Can boosters help?

First, the wave itself: cases, hospitalisations & deaths surging in Europe, several western countries shooting past UK 📈

Story: ft.com/content/974487…
The situation is even clearer when plotted on a log scale:

UK is broadly a flat line, with European countries cutting up steeply through it. France, Italy & Spain all on course to pass UK for cases. Germany now above UK for daily deaths and Netherlands set to follow.
So why these exponential surges across Europe but not in the UK?

There’s increasingly little difference in social mixing behaviour between the countries, and where we do see differences e.g in mask-wearing, they’re generally more virus-friendly in the UK 🤔
Read 24 tweets
18 Nov
The good thing about this story is that any time I see someone sharing it as evidence that wearing masks cuts Covid incidence by 53%, I know they haven’t read the paper it’s based on and aren’t fussed about the quality of evidence as long as it produces the right number 🙃
What do I mean by this?

Let’s start by saying that yes, we have good evidence that masks reduce Covid incidence 😷🦠📉😀

BUT it points to nowhere near a 53% reduction. As today’s @bmj_latest states, the best evidence — randomised controlled trials — point to more like a 10% cut
Indeed, here is the BMJ’s take on today’s paper:
• Most of the studies included in the meta-analysis from the Guardian story are poor quality and subject to major biases
• We need more & better research [like the mask-wearing RCTs which have consistently found a smaller effect]
Read 6 tweets

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