Abstract:〔Abstract〕 Objective To study the prescription rules of traditional Chinese medicine in the treatment of novel coronavirus Omicron variant infection by data mining method, and to provide reference for the treatment of novel coronavirus Omicron variant infection. Methods The latest light and medium treatment prescriptions for novel coronavirus infection published by provincial administrative units and the National Health Commission from October 1, 2022 to January 31, 2023 for adults were collected, a database was established, and IBM SPSS Statistics 26.0 software was used for systematic cluster analysis. IBM SPSS Modeler18.0 software was used to analyze Aprior algorithm for high-frequency Chinese medicine with frequency ≥ 20 times, and to explore the rule of light and medium therapeutic drugs used in adults during the epidemic of Omicron variant strain of novel coronavirus infection. Results A total of 96 prescriptions were included, involving 130 Chinese herbs, 22 of which were used more frequently ( ≥ 20 times), and the top 5 were: licorice, bitter almond, ephedra, scutellaria, forsythia; The drug properties of high frequency Chinese herbs were mainly warm, spicy, bitter and sweet, and the meridians of the lungs, stomach, and spleen were the most common. Ten Chinese herb association rules were obtained, among which the association degree of gypsum, ephedra and bitter almond was the highest. Conclusion Since 2022, the latest traditional Chinese medicine treatment of light and medium novel coronavirus infection has always focused on the prevention and treatment of the core mechanism of damp toxin of traditional Chinese medicine. The early treatment of the disease to support the positive qi, detoxification dehumidification, the treatment of bitter, sin-warm medicine, take bitter can dry, sin-warm divergence effect. The meridians of drugs are mainly focused on the lungs, stomach, and spleen meridians, which not only strengthens the body and eliminates evil, but also attaches importance to the spleen and stomach.