The findings, led by the University of Edinburgh, mark one of the first estimates in the world of long Covid using population-wide data.

The study found the condition has a similar prevalence among Scots as strokes and COPD.

Those who are female, aged between 38 to 67, have pre-existing health conditions, are overweight or obese or immunosuppressed had the highest likelihood of suffering the condition.

Around 1.8% of the population sought help from the NHS with persistent symptoms of the virus including chronic fatigue and breathlessness.

However, researchers also state the figure is likely a “significant underestimate” as those who did not receive a formal diagnosis or who did not visit their doctor were not included.

However, there have been problems recording the prevalence of the condition due to the varying number of symptoms and recording of the condition on NHS systems.

Patients are still being treated for long Covid.

The medical records of more than five million people in Scotland were examined between March 2020 and October 2022 as part of the EAVE II project at the University of Edinburgh.

During the time period it was found that 90,700 people had long Covid.

Much of the study consisted of examining patient notes by healthcare professionals as well as sick notes, primary care records and NHS clinical codes.

Fewer cases of long Covid were recorded when the Omicron variant was most common compared to other variants of the virus.

“So on the one hand this is an underestimate, but on the other hand it still shows quite clearly there are a large number of people that are needing help.”

Professor Dame Anna Dominiczak, pictured left, chief scientist (Health) for the Covid-19 Recovery Committee Long COVID Inquiry, said: “What we have [with the EAVE II study] is exceptional because it looked at 5.1 million adult Scots.

“I am not aware of previous linkage of that size and that power and potential. So I think it is extremely exciting to see that such linkage is possible.”

The study has now been submitted for peer review.