We’ve already shown that our forecasting system has been effective in providing advance warning of the current Third (or Fourth, depending on how you’re counting) wave of Covid-19 cases. With that wave now fully established, we’re looking again at our forecasts, the core data and our dynamic analyses of the pandemic, especially given the latest UK government policy.
With the UK’s rolling weekly case rate now at 238/100k population, up 60% on a week ago, and 40% of the way to the January national peak, we are not reassured. Looking at the behaviour of Chris Whitty’s eyebrows during government briefings, we suspect that neither is he. The current wave is so far unevenly distributed, with urban centres showing the biggest rises, in many cases well above the January peak with, as previously noted, an apparent strong association with those areas most engaged in the Euro 2020 competition. Given little restriction on movement, we believe that these centres of infection are in the process of seeding a ripple of infection across the rest of the country. Continue reading Third Wave Rising
Taking the current rise in infections as an example, our analytic system has, consistently been able to forecast changes in the Covid-19 pandemic across the UK – we started with 14-day forecasts and have now pushed those out to 28 days. We made that change as we improved our algorithms, validated our earlier forecasts and, of course, as our system has had more historical data to work with, it’s got somewhat better at its job.
To validate the forecasts, we measure their daily predictions against what subsequently transpired – these can be displayed in our dashboard by clicking the grey tabs below each date in the horizontal date picker at the bottom.
For that period then, we have forty four 28-day hindcasts, plus the current forecast, from 24 June (today being the 30th – the lag is down to the rolling evolution of data quality for recent days).
For the UK, on thirty six of those forty four days, our forecasts generated a trajectory that closely matches the subsequently recorded change in case numbers, by which we mean effectively tracked the actual case numbers for at least two weeks into the 28-day forecast. We call those Actionable forecasts, in that they’ve proven accurate enough to confidently have taken policy decisions against.
Our header image shows the current forecast for the UK, overlaid with our hindcast for our forecast from 1 June. We think that speaks for itself.
Continue reading How accurate are our forecasts?
The UK government has just announced that it isn’t going to make a decision on further relaxing Covid-19 restrictions for another two weeks, just as many people were, quite reasonably hoping that the fat lady was, if not in full song, at least warming up for her aria.
Flippancy aside, let’s be clear: delaying a decision like that is utter nonsense, at multiple levels: whether it’s driven by the use of lagging data, the continuing failure to adopt and use effective forecasting (ours or anyone else’s), the pursuit of political dogma, or any combination of these, they’re once again delaying decision making until it’s too late.
Worse, they seem to be relying on the success of the vaccination program to try to pull a largely fictional rabbit out of their hat – the hat that comes with a large label saying, “Wishful Thinking”. But now for the data and analysis… Continue reading Waiting for the Fat Lady