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Objective: To explore novel coronavirus pneumonia (COVID-19) by the method of network pharmacology. Methods: The compounds contained in the Huashi Baidu Formula were searched by TCMSP database, the active components and their action targets were screened, and the proteins were standardized by Uniprot database, and the drug-active ingredient-target network was constructed by Cytoscape3.7.2 software. The targets related to COVID-19 were screened by GeneCards database. STRING database and DAVID database were used to construct and analyze PPI network, GO analysis and KEGG enrichment analysis(P < 0.05). Results: The drug-active ingredient-target network of Huashi Baidu Formula consists of 176 components and 149targets, including AR, ESR1, PTGS2, PPARG, NOS2 and so on. 251 targets related to COVID-19. GO functional enrichment analysis showed that there were 179 biological processes, mainly related to inflammation, regulation of apoptosis and immune response, and 82 KEGG related signaling pathways were obtained, including HIF-1, TNF, small cell lung cancer, non-small cell lung cancer, tuberculosis, PI3K-Akt, NF- κ B, MAPK and so on. Conclusion: Huashi Baidu Formula may regulate the immune and inflammatory response of the body by acting on AR, ESR1, PTGS2, PPARG, NOS2 and other targets, which is the result of multi-component, multi-target and multi-channel interaction.