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.
First up, the question of severity of hospital cases:
• Data from @nicd_sa for the whole of Gauteng province echo the report’s finding for Tshwane: to date, a much lower share of Covid-positive patients in this wave require ICU than at same stage of Delta wave
• For patients on oxygen, the share now appears roughly the same as with Delta. Tshwane report found that 70% of patients on oxy were due to Covid. We don’t have that breakdown for Delta oxy patients, but can probably assume "oxy because Covid" share is slightly down for Omicron
Okay, so share of Covid+ patients with severe Covid is lower for Omicron than for Delta. That’s good news!

But let’s dig deeper:

First, let’s move from shares to totals. Number of patients on oxy — and esp ICU — are much lower than at same stage of Delta, but both are climbing.
If we switch to a log scale, we can better compare the growth rates:

On current trends, patients on oxy (mostly due to Covid) will soon pass Delta trajectory, and numbers in ICU are also heading up fast (obv be wary of extrapolating ICU trend, where data/reporting is bumpy)
One critical thing to note at this stage — as highlighted in the Tshwane report — is the markedly different age profiles of the two waves:

Over first two weeks of each wave, Omicron cases and hospitalisations skew *much* younger. That alone would be expected to reduce ICU share.
As @tomtom_m shows in his regular demographic updates, cases in Gauteng are now spreading into older age-groups (upper right chart here), and that will feed into admissions/patients, shifting the risk profile
So the drop in ICU share from 25% to 8% may turn out to be artificially steep, but I don’t think one can read the Tshwane report and all other info coming from SA and conclude that the ICU share of patients in this wave will be as high as it was in prior waves. Again, good news!
So what does this all mean?

First up, does it mean Omicron is "more mild" than previous variants?

Well, far more likely it means that people who’ve been vaccinated or infected are showing solid protection against severe disease. And this should not be a surprise!
All summer and autumn in Europe we’ve seen how immunity greatly reduces the share of cases that becoming hospitalised, and the share of admissions that become deaths
So is Omicron inherently a more mild strain? No evidence either for or against that at this stage.

But is it more mild for people with immunity from either recent vaccination or infection? Yes! Vast majority of people in Gauteng have either been vaxxed or infected.
Ever since day one of the pandemic, immunologists have stressed that while protection against *infection* can indeed be quite vulnerable to mutated variants, protection against severe disease should hold up much better.
BUT: now that I’ve injected a triple-dose of nuance, here’s your exponential case chart:

Even if far less than 25% of patients require ICU this time, a small share of a rapidly increasing number can still become a big number. And numbers are going up very, very fast.
And this is why Omicron remains worth taking very, very seriously in South Africa, in Europe, in the US and elsewhere.
With governments very reluctant to reimpose major restrictions, Omicron’s growth advantage (whether conferred by shorter incubation period, immune evasion and or something else) is bound to produce very rapid waves of infections when it takes hold
So if we take the equation:

ICU beds filled = people infected x risk of needing ICU

"People infected" could get very big, very quickly, even with lots of vax and prior infection.

So race is now on to use third doses to get "risk of requiring ICU" as small as possible 💉💉💉
Some further reading:
• Here’s our story on the race to resolve the uncertainties around Omicron ft.com/content/e742a4…
• And @mugecevik has a typically fantastic thread setting out exactly what those uncertainties are, and the science around them
And a belated addendum:

Both the Tshwane report and @miamalan’s thread demonstrate how vital local knowledge continues to be to our understanding of Omicron. The amount of work being done in South Africa to discover and communicate key insights for the world is truly amazing.

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More from @jburnmurdoch

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
15 Nov
NEW: @UKHSA study finds Pfizer booster is extremely effective against symptomatic infection, both compared to the unvaccinated and to those with 2 doses ft.com/content/8330da…

Whether first 2 doses were AZ or Pfizer, a Pfizer booster sends vaccine efficacy up to 93-94% 💪 Image
Study was on people aged 50+, comparing those boosted ~5+ months after dose 2, to those @ 5+ months unboosted.

AZ efficacy was 61% after dose 2, waning to 44% @ 5 months.

Pfizer was 82% after dose 2, waning to 63% @ 5 months.

2 wks after Pfizer booster, both groups -> 93-94%!
Best way to think about booster impact is not to look at going from 44 to 93 with AZ, i.e roughly doubling, but invert the numbers and go from (100-44) to (100-93), i.e from relative risk vs unvaxxed of 56% to just 7%

That’s an 87% increase in protection *relative to two doses!* Image
Read 8 tweets

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