Covid-19: Forecasting and Modelling
Debate between Bob Seely and Brendan O'Hara(2 years, 9 months ago)
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Brendan O'Hara
No, I will not. The libertarian right have had enough of a kick at the ball in this debate. [Interruption.] No, I will not give way. At least half of those who have spoken today are not wearing face coverings.
I know that it is customary at this point to thank the Member who secured the debate but, in a break from tradition, I will start by thanking the scientists––the analysts, the medical professionals, the health experts, the clinicians and everyone else who stopped what they were doing two years ago and dedicated their lives to trying to work out and predict where the global pandemic might go and the impact that it could have on us. Two years ago, when tasked with working out this brand-new virus, every step that they took was a step into the unknown. There was no textbook to chart the route of this pandemic and every decision that they took was a new decision. They knew that every piece of advice they gave could have serious consequences for the population. The pressure of doing real-time covid-19 analysis must have been enormous. I, for one, really appreciate that scientists erred on the side of caution in the midst of a global pandemic in which tens of thousands of people were dying when there were no vaccines or booster protection. To all the SAGE officials, scientists, medical staff and public health experts who have done a remarkable job in keeping us safe, I say a huge and unequivocal thank you.
We know and can accept that forecasting and modelling during a pandemic are not an exact science but based on the best available evidence and a series of scenarios, presented from the best to the worst case. As Professor Adam Kucharski of the London School of Hygiene and Tropical Medicine said,
“a model is a structured way of thinking about the dynamics of an epidemic. It allows us to take the knowledge we have, make some plausible assumptions based on that knowledge, then look at the logical implications of those assumptions.”
As the much-maligned Professor Ferguson told the Science and Technology Committee,
“Models can only be as reliable as the data that is feeding into them.”
Of course such models have their limitations. They are not forecasting modelling but mathematical projections based on the data available to modellers. If the tests are not being done, or tests are not being registered as positive, for example, the data modelling and forecasting can be affected. It is important to remember, however, that while the hon. Member for Isle of Wight (Bob Seely) was telling anyone who would listen that modelling predictions were a national scandal, Professor Chris Whitty was telling the Science and Technology Committee that
“a lot of the advice that I have given is not based on significant forward modelling. It is based on what has happened and what is observable.”
Advice on lockdown and other public health measures was given by SAGE and others on the basis of observable data, not on forecasting modelling alone. I put it to the hon. Member for Isle of Wight that he was quite wrong when he told GB News that
“So much of what’s happened since with…inhuman conditions that many of us struggled with”
was
“built on some really questionable science.”
Professor Whitty said clearly that he did not base his advice on that; rather, he based it on what he could see around him.
The primary purpose of modelling is simply to offer a sense of the impact of different restrictions. A report by researchers for the journal Nature found that the first lockdown saved up to 3 million lives in Europe, including 470,000 in the UK. The success of disease modelling was in predicting how many deaths there would have been if lockdown had not happened. SAGE officials, scientists and medical staff have done a remarkable job to keep us all safe, and many people across these islands owe their lives to them. I believe that the work that those people have done under enormous pressure should be applauded and appreciated, not undermined by the far-right libertarian Tories we have today.
