Team Leader: Prof. Lei Wu

Professor & Doctoral Supervisor, School of Public Health, Nanchang University

Associate Dean, School of Public Health, Nanchang University

Email: leiwu@ncu.edu.cn

Prof. Lei Wu serves on the Party Committee of the School of Public Health and is Associate Dean of the School. She is a council member of the Aging and Anti-Aging Science Committee of the Chinese Geriatrics Society, a standing committee member of the “Internet+” Branch of the Chinese Association for Health Promotion and Education, Chair of the Geriatrics and Geriatric Health Branch of the Jiangxi Research Hospital Association, and holds leadership positions in several provincial public health and preventive medicine associations.

Research Focus

The team focuses on health risk assessment, population nutrition, and data-driven prediction of chronic and infectious disease outcomes, integrating epidemiology, biostatistics, machine learning, and real-world health data. Major research areas include:

—   Risk prediction and prognosis modeling for cardiovascular and metabolic diseases

—   Population-based evaluation of dietary risk factors, especially sodium intake

—   Health trajectories across the life course and aging populations

—   Application of big health data and advanced statistical learning methods in public health research

—   Global and regional burden of disease analysis

Selected Research Projects:

Prof. Wu has led multiple national and provincial research projects, including several funded by the National Natural Science Foundation of China (NSFC) and the Ministry of Science and Technology of China. Representative projects include:

—   Prognosis Study of Complex CAD Surgery Patients Based on Deep Survival Analysis Models and Real-World Data (NSFC, Ongoing Project)

—  Comprehensive Assessment of Multi-Factor Exercise-Nutrition Risks and Intervention Strategies (National Key R&D Program subproject, Completed Project)

—   Construction of a Prognostic Evaluation Model for AMI Patients Undergoing PCI Surgery Based on Random Forest (NSFC, Completed Project)

—   Research on Comprehensive Evaluation and Prediction Model of Elderly Physical Fitness Based on Fuzzy Neural Network (NSFC, Completed Project)

—   Early Diagnosis and Prediction Model of Alzheimer's Disease in Community Elderly Populations (NSFC, Completed Project)

—   Research on the Development Status and Innovation Needs of the Big Health Industry in Jiangxi Province (Key Project of the Jiangxi Provincial Natural Science Foundation, Completed Project)

Selected Publications

—   Wang N, Wang C, Zhang P, Li Y, He FJ, Li L, Li Y, Luo R, Wan D, Xu L, Deng L, Wu L*. Effectiveness of an mHealth- and School-Based Health Education Program for Salt Reduction (EduSaltS) in China: Cluster Randomized Controlled Trial Within Scale-Up. J Med Internet Res. 2025,;27:e60092.

—   Wang N, Zhang P, Li Y, Wang C, He FJ, Li L, Li Y, Luo R, Lu Y, Wan D, Lu T, Xu L, Zhu C, Wu L*. Sustained Effects of a Scaled-Up mHealth and School-Based Intervention for Salt Reduction (EduSaltS) in Schoolchildren and Their Families: 1-Year Follow-Up of a Cluster Randomized Controlled Trial. Nutrients. 2025,28;17(11):1845.

—   Nie Y, Yang S, Yao Q, Liu X, Zhang B, Lu Y, Zhou Y, Wu L*, Li H*. Epidemiological characteristics and influencing factors of scrub typhus in Jiangxi Province. Parasites Vectors. 2025,18,260.

—   Nie Y, Wang N, Huang M, Li Y, Lu Y, Li H*, Wu L*. Global burden of disease from high-sodium diets, 1990-2021: analysis of GBD 2021 data. Front Nutr. 2025,2;12:1617644.

—   Nie Y, Zhang Y, Yang Z, Wang N, Wang S, Liu Y, Jiang H, Wu L*. Global burden of pertussis in 204 countries and territories, from 1990 to 2019: results from the Global Burden of Disease Study 2019. BMC Public Health. 2024,24(1):1453.

—   Zhu X, Zhang P, Jiang H, Kuang J, Wu L*. Using the Super Learner algorithm to predict risk of major adverse cardiovascular events after percutaneous coronary intervention in patients with myocardial infarction. BMC Med Res Methodol. 2024,8;24(1):59.

—   Zhou H, Zhang C, Wang S, Yu C*, Wu L*. Developmental trajectories and heterogeneity of social engagement among Chinese older adults: a growth mixture model. BMC Geriatr. 2024,18;24(1):846.

Research Structure

The team consists of two specialized research groups:

—   Health Big Data and Risk Assessment Group

Head: Jie Kuang

Members: Yong Liu, Weixin Liu, Zuqiang Fu

—   Life-Course Health Research Group

Head: Fang Chen

Members: Zhihong Zhang, Min Hu, Mengjiao Liu, Yao Pan, Chunrong Zhong, Hua Feng, Zhongwei Zhang, Qirui Hu