Relating SARS-Cov-2 Infection Risks To Relative Risks of Dietary Items in Different Ethnicities By Machine Learning

By applying different machine Learning algorithms, we noticed that the above equation holds for 27 different ethnicities, with a somehow good accuracy 83%. So we could reason that the diet has a key role in Risks of apparent SARS-Cov-2.