Abstract: Objective To conduct an in-depth analysis of the influencing factors of infectious disease health literacy among community residents using decision trees and logistic regression models,and provide reference for community nurses to take measures. Methods From March to June 2022,a total of 1 795 community residents were selected by convenience sampling for questionnaire survey. The influencing factors of infectious disease health literacy of community residents were analyzed by constructing decision tree and logistic regression models,and the prediction effects of the two models were compared. Results The logistic regression model results showed that education level,monthly income,whether to participate in health education,frequency of Internet use,establishment of health file,and age were the factors affecting the infectious disease health literacy among community residents（all P<0.05）. The results of decision tree model analysis showed that education level,perceived social support, frequency of Internet use,whether to participate in health education,family function,self-rated physical health status,and age were the factors influencing the health literacy of community residents（all P<0.05）. The sensitivity of the logistic regression model was 75.5%,the specificity was 82.0%,and the area under the ROC curve was 0.859. The sensitivity of the decision tree model was 78.9%,the specificity was 76.4%,and the area under the ROC curve was 0.851. There was no statistically significant difference in the area under the ROC curve between the two models（Z=1.640,P>0.05）. Conclusion The combination of logistic regression model and decision tree model can provide a more comprehensive explanation for the influencing factors of infectious disease health literacy in community residents and has a high application value,and provide the basis for community nurses to take targeted prevention and nursing intervention.

Key words: Logistic regression, Decision tree, Community residents, Infectious disease health literacy