Any views expressed within media held on this service are those of the contributors, should not be taken as approved or endorsed by the University, and do not necessarily reflect the views of the University in respect of any particular issue.

Glimmer of hope IV

The UK COVID-19 peak is in sight!

Part IV of Glimmer of hope. (10-April-2020)
Summary

To summarise today’s and the previous three blog posts. The UK COVID-19 peak looks to be in sight.

If you are elderly, or vulnerable, then this is the critical period. In my view the next ten, or so, days is the period to firmly self-isolate while the COVID-19 peak passes through. This is the time to use your food supplies. Stay out of shops. Get food delivered. Stay away from everyone. Stay safe.

United Kingdom

My forecast for peak COVID-19, during its first phase in the UK, is becoming clearer. Today I forecast that the peak (daily death rate) will occur in 5.6 days time (purple curve). However many pandemic trajectories (cyan curves) are still quite possible.

Data and model fits at left, forecasts at right. Red – Cases. Blue – Deaths. Brown – projected Cases. Purple – projected Deaths. Pink – illustrates range of plausible Cases trajectories. Cyan – illustrates range of plausible Deaths trajectories.

Model

My model suggests the UK is close to the peak in daily Cases, and most likely 5 to 6 days away from the peak in daily death rate. However, it also shows there are still great uncertainties. I estimate a peak daily death rate of 1109.

I should have mentioned somewhere in my previous three posts how the swathe of model curves and projections in the above diagram are generated. The classical statistical technique of bootstrapping is used. The multiple models are fitted using the maximum likelihood method. My full (generalised) 5-parameter model is:

GESN <- function(x,b0,b1,b2,b3,b4) {exp(b0-abs(((x-b1)/(b2*(1+b3*(sign(x-b1))))))^(b4))}

Typically I only need the first three parameters (ie fix b3=0, b4=2). The longer Chinese deaths series needed all five parameters. I have found that my computer code runs quite happily in Rstudio on the Cloud. All the data that I have processed has been uploaded from the excellent European Centre for Disease Prevention and Control web-outlet.

M. King Hubbert

Here is a prophetic quotation from M. King Hubbert (1903 – 1989), whose maths has figured highly in this sequence of blogs.

We don’t know how to cope with it. Our ignorance is not so vast as our failure to use what we know. Growth, growth, growth — that’s all we’ve known . . . ; human population growth is like nothing that has happened in all of geologic history

Part III ,  Part II,  Part I

 

4 replies to “Glimmer of hope IV”

  1. Stuart Haszeldine says:

    I’m glad the data and insights were useful. Good specific predictions. And the test will be soon, after Thursday 16th – conditional that Easter Sunday does not bring a mass population breakout. Very encouraging.

    1. Roy Thompson says:

      Stuart, I’ll try to firm up even more on the predictions I plan to post this evening by adding 95% confidence limits.

  2. Bruce Hobbs says:

    Well done again. More than a glimmer now I think. Thanks for including the mathematics.

    1. Roy Thompson says:

      Bruce, Thanks for your original comment suggesting that a better description of the underlying maths would be useful.

Leave a reply

You may use these HTML tags and attributes: <a href="" title=""> <abbr title=""> <acronym title=""> <b> <blockquote cite=""> <cite> <code> <del datetime=""> <em> <i> <q cite=""> <s> <strike> <strong>

css.php

Report this page

To report inappropriate content on this page, please use the form below. Upon receiving your report, we will be in touch as per the Take Down Policy of the service.

Please note that personal data collected through this form is used and stored for the purposes of processing this report and communication with you.

If you are unable to report a concern about content via this form please contact the Service Owner.

Please enter an email address you wish to be contacted on. Please describe the unacceptable content in sufficient detail to allow us to locate it, and why you consider it to be unacceptable.
By submitting this report, you accept that it is accurate and that fraudulent or nuisance complaints may result in action by the University.

  Cancel