To explore the action mechanisms of ginger for the treatment of COVID-19 using bioinformatics tools. Taking the three active ingredients of ginger （6-gingerol， 8-gingerol and 10-gingerol） as research objects， their potential target protein targets were predicted by chemical similarity measures. Meanwhile， viral pneumonia disease-related proteins were collected by manual data mining and constructed an interaction network via String 11.0. The core targets of ginger for the treatment of viral pneumonia were intersected and analyzed. The gene ontology（GO） enrichments and the KEGG pathway enrichments were performed via Omicshare and DAVID databases， respectively. Finally， the action mechanisms network of ginger was constructed using Cytoscape 3.3. The results showed that the three active compounds of ginger could act on 168 protein targets. And there had 253 viral pneumonia disease-related proteins. Then， the intersected 18 target proteins of ginger for viral pneumonia were obtained. The gene ontology （GO） of these core proteins involved inflammatory response， immune regulation， cytokine-mediated receptors and so on. And they participated 21 KEGG pathways， including virus infection， chemokine pathway and many cancer pathways. All results showed that the active compounds of ginger played pharmacological roles through multiple targets and multiple pathways. These findings provide an overview of the action mechanisms of ginger for COVID-19 treatment， and also basis of diet therapy.