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Factors Influencing the Maintenance of Public Health Behaviors After an Epidemic: Cross-Sectional Study

Factors Influencing the Maintenance of Public Health Behaviors After an Epidemic: Cross-Sectional Study

Referring to the study by Li and Wang [26], environmental cues were assessed using 4 items with “yes” or “no” responses, scored as 1 for “no” and 2 for “yes.” A higher score indicated a stronger public perception of external environmental cues. Based on Saghafi-Asl et al’s study [27], social cues were evaluated using 5 items rated on a 5-point scale from 1 (strongly disagree) to 5 (strongly agree). A higher score suggested that the public received more social cues about maintenance of health behaviors.

Xingmin Wang, Hongli Yan, Lushaobo Shi, Ting Li, Yi Xia, Dong Wang

JMIR Public Health Surveill 2025;11:e66535

A Machine Learning Approach to Differentiate Cold and Hot Syndrome in Viral Pneumonia Integrating Traditional Chinese Medicine and Modern Medicine: Machine Learning Model Development and Validation

A Machine Learning Approach to Differentiate Cold and Hot Syndrome in Viral Pneumonia Integrating Traditional Chinese Medicine and Modern Medicine: Machine Learning Model Development and Validation

Wang et al [13] differentiated heat and cold patterns in rheumatoid arthritis through cluster and factor analyses to guide clinical medication. Wu et al [48] investigated TCM cold and hot constitutions using pulse wave parameters such as augmentation index and heart rate variability. Although some individual studies have applied artificial intelligence to differentiate cold and hot properties, most efforts have been limited to identifying the properties of Chinese herbal medicines.

Xiaojie Jin, Yanru Wang, Jiarui Wang, Qian Gao, Yuhan Huang, Lingyu Shao, Jiali Zhao, Jintian Li, Ling Li, Zhiming Zhang, Shuyan Li, Yongqi Liu

JMIR Med Inform 2025;13:e64725