How the Oxford University algorithm decides who should be shielding
By Rowland Manthorpe, technology correspondent
A new algorithm has been put together to try and calculate people who are at higher risk from COVID-19 due to multiple factors so should shield, but how does it work?
Very simply, this algorithm works by using the details of your medical records to assess how likely you are to catch coronavirus and die.
It sifts through this information, then gives you a score out of 100: A high score means you're more likely to get COVID-19 and die, a low score means that's less likely to happen.
The people with the highest scores are added to the shielding list and prioritised for vaccination.
Whether you get one of the higher scores depends on your personal characteristics such as your age, gender or ethnicity, as well as your weight compared to your height.
Older people are known to be more vulnerable to COVID-19. Men are more vulnerable, so they will score higher. The same applies to ethnicity.
Other factors which will increase your score include whether you smoke, whether you are homeless, or, crucially, whether you are taking certain kinds of medication.
Some cancer patients, for instance, weren't included on the first shielding list. This algorithm can run through the NHS database, pick out those people, then flag them up for vaccination.
And poverty is known to be linked to more severe outcomes from COVID-19 and this algorithm includes a measure of deprivation, based on your postcode.
https://news.google.com/__i/rss/rd/articles/CBMibmh0dHBzOi8vbmV3cy5za3kuY29tL3N0b3J5L3VrLWNvdmlkLW5ld3MtbGl2ZS1sYXRlc3QtdXBkYXRlcy1hcy1taW5pc3RlcnMtcmV2aWV3LWNvcm9uYXZpcnVzLWxvY2tkb3duLTEyMjIwNDcy0gEA?oc=5
2021-02-17 08:37:30Z
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