Based on Martin’s Appraisal Theory, this study takes the English news reports of COVID-19 on the official website of the overseas edition of China Daily as the research corpus, and classifies the corpus from its subsystem, that is, attitude system to conduct the discourse analysis, so as to explore the distribution law of attitude language resources in the corpus, and interpret the attitude hidden behind the news reports. It is found that in the report of COVID-19 in China Daily, the use of affect resources accounts for the largest proportion, followed by judgement resources, and the use of appreciation resources is the least. And the proportion of positive attitude resources is much larger than that of negative attitude resources.