Research on rapid construction methods and evaluation of health education resources in public health emergencies based on knowledge development

The core of this study established a pathway that rapidly and automatically converts authoritative epidemic announcements into personalized health education resources. The framework utilizes LIS technologies such as knowledge graphs and association rule mining to analyze the content of the announcements and achieve automatic resource generation. Empirical research shows that user acceptance of these resources depends primarily on their perceived usefulness and ease of use, with eHealth literacy playing an important moderating role in this process. The study's "analyze-generate-evaluate" closed-loop model can be extended to other crisis situations.