Covid and Nutrition: a Machine Learning Perspective

We gathered somehow big data from a Self-report online questionnaire survey from more than 16000 Iranian Families (residents of 1000 urban and rural points of Iran). The resulting data store has more than 1M data records and more than 1G automatically inferred information records. Based on this data store, we have run some machine learning experiments to investigate the relationship between nutrition and Covid-19 infection risk. With high accuracy scores, our results strongly suggest that the foods and water-sources containing some natural bioactive and phytochemical agents are lowering the risk of apparent infection of Covid-19.