The Strange Rise of Covid-19 Deaths

The UK regime isn’t alone in making a rod for its back, though its response to the pandemic has been particularly inept. Increasing numbers of “ordinary citizens” are beginning to smell the rats carrying a worse plague than Sars-Cov-2. Arriving here, there and everywhere sometime soon.

Quite recently, Brits were being frightened with a figure of 500,000 people killed by Covid-19 disease. This has now been reduced to 20,000. If that proves to be the final figure in the UK it will be no more deadly than the winter ‘flu. I can’t remember the regime throwing millions out of work for the ‘flu.

But, when I downloaded the Virus Prediction tool from Andology and made the modest assumptions of a reproduction rate (R0) of 2.5, a doubling time of seven days and a mortality rate of 2%, over 4.5 million Britons departed the Sceptered Isles by the middle of August this year.

Well, each infected person has clearly been passing the disease to six or seven people and the mortality rate could be as high as 10%. The death toll is doubling every four days. At these rates, we must surely be expecting ten million dead by the end of summer, not 20,000.

It is hard to get your head around. The Prediction Tool’s 4.5 million had a hidden assumption. That we would do nothing to fight the invisible enemy. But we are doing something. By regime diktat we are, most of us, sheltering in place or working from home. (To save our beloved NHS, which the regime has been selling off to private investors for years.)

So why is the death toll rising much quicker than the Prediction Tool suggests?

Here is a graph of the accumulating deaths in Italy and the UK in weeks 7, 8 and 9 of their pandemic experience.

CV19_Deaths_ItalyUK_1

The actual figures are taken from Worldometers. Week 17 in the UK ends on 4 June. Radio pundits today were expecting our death rate to peak in 10 to 14 days from now. Imagine the extra 4 million or so deaths between weeks 18 and 26. (With its lower population, Italy is predicted to have half a million fewer deaths than the UK.)

We’ll soon see if the curves flatten. It may take a while longer for the sales of pitchforks to ramp up.

Flight of Fancy 18 · Owl

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2019-nCoV

The novel Coronavirus hasn’t been given a snappy acronym yet, like MERS or SARS. I would favour a name like Mad Scientist Disease or BWF (BioWeapon Flu). Gates of Hell Syndrome has a ring to it. Watching videos of people falling dead in the street in China, or vomiting blood on public transport, is very upsetting. How much worse is it going to get?

I downloaded the coronavirus prediction tool from Andology this morning. It is an Excel spreadsheet in which you can insert country-specific values for the following Assumptions:-

Starting Population

Start Date (Patient Zero)

Initial Infections

Infection Rate (R0)

Incubation Time (Days)

Mortality Rate

Mortality Complicator

Virus Burnout Rate

If you like messing around with spreadsheets you may find this one a joy to use – the pleasure obviously tainted by observing the deaths of millions of people.

I “modelled” China first. There is a suspicion that the Chinese Government is under-reporting infections and deaths but my first set of Assumptions generated much lower figures than those published to date. Adjusting R0 and Mortality Rate brought 450 predicted deaths to 5 February (494 reported), but these derived from only 2744 infections (24,447 reported). I will play around with the assumptions to see if I can bring predictions and reality closer together and thereby get a better idea of the final death rate when the virus burns out.

Each country infected will have a different journey over the spikey bell curve of rapidly increasing illness and death and an equally precipitous fall to zero infection in the population.

I applied the China assumptions to the UK (just two infected people so far) and was surprised that the virus died at about the same time – mid-June this year in China and a couple of weeks later in the UK. In around six months my models predict 392 million Chinese deaths and almost 10 million Brits and Northern Irish. As we wait in the UK for the novel coronavirus to claim its first victim, this outcome seems unlikely.

But the exponential growth of anything bad is the stuff of nightmares.

CHINA_Coronavirus1

With my set of amateurish assumptions, China will lose 27% of its population and the UK 14%. That’s 42% of those infected in China and 16% in the UK. The R0 and initial assumed Mortality Rate are the same for both countries (3.7 and 10%). I’m not clever enough to figure out this difference in the final outcome.

I hope things work out much better than this – but it could possibly be worse. Deaths resulting from the possible collapse of the global economy and social breakdown worldwide have to be factored in somehow.

2020 was going to be an interesting year without this.

Another name for novel coronavirus – WuFlu. You can also keep up with developments at Johns Hopkins. And if you download the prediction tool from Andology you can get up-to-date population figures at Worldmeters.