Will the UK soon see a tidal wave of COVID-related hospital admissions? Is Omicron really causing a drop in hospitalizations? Let’s look at the data.
I’m spending the afternoon watching the year end mixed martial arts, #rizin33, so it’s as good a time as any to examine the new surge in cases in the UK. There’s a lot of talk that omicron is less severe and hospitalizations won’t rise, but I’m not convinced. Let’s look.
The Guardian reports 12000 people in hospital in the UK, with past peak of ~35,000. Early reports of a UK government study found a lower risk of hospitalization and suggestions “it won’t be as bad as last time” even as cases are sky-rocketing.
I’m suspicious about the idea that the hospitalization rate is going down with omicron. Let’s look at new cases and new hospitalizations. This figure shows the number of new cases, along with new hospitalizations (scaled by a factor of 10) since January 2021. Notice anything?
It looks like hospitalizations decoupled from cases in ~July, and as cases rose after “Freedom day” daily hospitalizations remained stable. I checked this by plotting the rate of admissions on day X per 1000 cases on day X-7 [assuming ~7 day delay from case report to admission]
This is the effect of vaccination and the surge in cases in children (who have lower risk of hospitalization) under the UK govt’s reckless back to school policy. You can see the clear shift in increased hospitalization rate after freedom day followed by the downward trend.
We only have a few weeks’ data on omicron, but it looks like hospitalization rates were dropping anyway. So I built a model of hospitalization as a function of past cases, with a term for omicron from 20th December, when it became dominant.
This model found an ~0.5% a day reduction in hospitalization rate since September, and an ~30% reduction in hospitalizations after omicron became established in mid-December. There was no significant effect of omicron on the downward trend.
Using this model I calculated predicted cases for the rest of the year based on the number of cases by specimen date. Here is the whole prediction since September. It’s not perfect but the trend is clear – daily admissions will rise to 2000 a day in the new year.
It looks like the UK will reach its past hospitalization peak by mid-January. If omicron hospital stays are shorter then the growth in total cases in hospital will be slower than the last peak, but if cases don’t drop rapidly the pressures on the NHS are unavoidable.
Some caveats: we don’t have much data on the omicron period (only a month); hospitalizations depend a lot on the age structure of infections, and I don’t have this info; most of my predictions have been “not even wrong” and I did this on my NYE break while watching MMA.
Nonetheless, the trend is worrying, and even more worrying is the ridiculous predisposition of UK politicians *and* many of its leading public health and medical establishment for breezy optimism in the face of repeated failures to handle a lethal infectious disease.
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The #economist is publishing a regularly-updated model of excess deaths due to COVID, which is being used to tell just-so stories about countries the Economist doesn’t like. Let’s talk about the dangers of using machine learning for analysis when you don’t have data.
Before we do, let’s just take a moment to appreciate the deep racism of this picture from a report using the Economist's numbers by the Centre for Strategic and International Studies. When you see a cover pic like this, you can guess what the contents are gonna be.
Having seen who is using this data and hazarded a wild guess at why, let’s look at some results. First, let’s compare the UK and Vietnam. According to the Economist, Vietnam had nearly as many excess deaths due to COVID-19 as the UK, despite containing the virus for a year.
In September 2021 an anti-vaccination meme started which claimed 70 members of Pfizer’s “investment board” are members of China’s Communist Party. Let’s look at how major news services and anti-China thinktanks drive anti-vaccination sentiments that kill Americans.
Snopes targeted this meme as false in September 2021, and briefly mentioned a news article in December 2020 that released the names, and says no government has verified it. Its role in helping to fuel anti-vax sentiment is clear from reddit subs like r/HermanCainAward.
This fabricated list was widely covered by The Daily Mail, the NY Post, the Epoch Times, the Australian, and Sky News. Foreign Policy’s supposed China expert Palmer referred to it as “an interesting data source for researchers”. Tory ex-leader Iain Duncan Smith wrote about it.
This table shows the rate of imprisonment of minorities in a couple of different countries. Let’s talk about genocide denialism among China “experts” who are laser-focused on proving genocide in Xinjiang while they ignore the legacy of genocide in their own countries.
These China “experts” are intent on uncovering these statistics and on activism in international forums to challenge mass imprisonment in China. Meanwhile their own countries are imprisoning indigenous people or minorities in huge numbers but they say nothing. Why?
For example in this figure we can compare imprisonment rates in Xinjiang with rates for indigenous people in Australia (where @ASPI_org is active), Canada (@projectxinjiang) and the USA (@adrianzenz). Where do you think the problem is biggest?
The Blitz (nazi terror bombing campaign of the UK) killed 40-50,000 people in a population of 41 million. #COVID19 has killed 130,000 people in a population of 65 million people – it is nearly twice as bad as the blitz. Let’s compare responses.
In response to the bombing of urban centres the UK Tory government evacuated a million women and children to the countryside, introduced a curfew, enforced a blackout and banned certain forms of speech harming the war effort.
For those wondering at why the Australian government would abandon its Afghan “allies” and comrades of ADF soldiers to an uncertain fate after the Taliban have taken over #Afghanistan, a little history lesson in how Australia has historically treated Afghan refugees
In August 2001 the MV Tampa rescued 433 refugees at sea. 244 of them were Afghans, fleeing the Taliban, and following the laws of the sea Tampa attempted to land them in Australia. The Australian government refused to take them.
The Tampa’s captain refused to turn around so Australia sent in the SAS. The commander of the SAS force that raided that ship, Vance Khan, was ultimately in charge of a squad that killed tribesmen as part of Operation Slipper in Afghanistan. tinyurl.com/4y68z58z
This figure shows the number of births that were “lost” in Japan due to falling birthrates since 2010. Nearly 1 million over just 10 years! Shocking! But no outcry from western thinktanks. Let’s discuss attributing sinister motives to good policy in @adrianzenz 's latest work
2/ here is the report, it’s a preprint and also accepted at the journal Central Asian Survey. papers.ssrn.com/sol3/papers.cf…
First, let’s discuss authorship. I don't think @adrianzenz reads Chinese, so how is he finding/translating these articles? He is the only author on this paper, but there must be another. Is there, Adrian? How are you finding and translating these articles?