Covid 19: prediction models at high risk of bias

The modelling and approach to tackle the hard medical decisions associated with the spread of the Covid-19 virus may be based on weak and overly-optimistic evidence from studies that are biased and unreliable. The research published in the BMJ examined multiple studies on the virus and found some were poorly reported, had a high risk of being biased and included recommendations that were questionable should they be put into practice. The current viral nucleic acid testing and chest computed tomography (CT) are standard methods for diagnosing Covid-19, but are time-consuming. So a team of international experts from Maastricht University, KU Leuven, University Medical