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Covid modelling that prompted first UK lockdown based on ‘inaccurate’ case numbers – The Telegraph

Scientists did not have accurate Covid case numbers, and were unsure of hospitalisation and death rates when they published models suggesting that more than 500,000 people could die if Britain took no action in the first wave of the pandemic, it has emerged.

On March 16 2020, Imperial College published its “Report 9” paper suggesting that failing to take action could overwhelm the NHS within weeks and result in hundreds of thousands of deaths.

Before the paper, the UK coronavirus strategy was to flatten the peak rather than suppress the wave, but after the modelling was made public, the Government made a rapid u-turn, which eventually led to lockdown on March 23.

However SPI-M (Scientific Pandemic Influenza Group on Modelling) minutes released to the Telegraph under a Freedom of Information request show that by March 16, modellers were still “uncertain” of case numbers “due to data limitations”.

The minutes show that members were waiting for comprehensive mortality data from Public Health England (PHE) and said that current best estimates for the infection fatality rate, hospitalisation rates, and the number of people needing intensive care were still uncertain.

They also believed that modelling only showed “proof of concept” that lockdowns could help, and warned that “further work would be required”.

https://web.archive.org/web/20220226190045/https://www.telegraph.co.uk/news/2022/02/26/covid-modelling-prompted-first-uk-lockdown-based-inaccurate/