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Application and research progress of agent-based modeling methods in intervention of behavioral risk factors for chronic diseases
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Qi-fan YANG1, 2, Ying DUAN1, 2, Ya FANG1, 2, Liang-wen ZHANG1, 2
Modern Preventive Medicine | 2024, 51(14) : 2649 - 2654
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Modern Preventive Medicine | 2024, 51(14): 2649-2654
• Disease Control and Prevention •
Application and research progress of agent-based modeling methods in intervention of behavioral risk factors for chronic diseases
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Qi-fan YANG1, 2, Ying DUAN1, 2, Ya FANG1, 2, Liang-wen ZHANG1, 2
Affiliations
  • Elderly Health Research Center of Public Health School, Xiamen University，Xiamen, Fujian 361000,China
Published: 2024-07-25 doi: 10.20043/j.cnki.MPM.202403024
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In recent years, Agent Based Modeling (ABM) has developed rapidly as a "bottom-up" system science method, which has better descriptive power and predictive performance compared to traditional models. It is also widely used in the field of public health. The trend of chronic non communicable diseases is severe worldwide, and interventions targeting behavioral risk factors can effectively prevent the occurrence of chronic diseases. However, there is relatively little research on the causes of health behavior changes and the heterogeneity feedback of intervention targets. It is worth exploring how to use ABM models to open this "black box" and optimize chronic disease prevention strategies. Based on a systematic search of relevant Chinese and English literature, this article summarizes the application examples of ABM method in the intervention of chronic disease behavioral risk factors, summarizes the methodological commonalities and internal logic in the modeling process, and strives to explore the development prospects of this method, providing evidence-based basis for optimizing the NCDs prevention and control system and promoting the construction of a healthy China.

Chronic disease  /  Agent based modeling(ABM)  /  Behavioral intervention
Qi-fan YANG, Ying DUAN, Ya FANG, Liang-wen ZHANG. Application and research progress of agent-based modeling methods in intervention of behavioral risk factors for chronic diseases[J]. Modern Preventive Medicine, 2024 , 51 (14) : 2649 -2654 . DOI: 10.20043/j.cnki.MPM.202403024
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Year 2024 volume 51 Issue 14
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doi: 10.20043/j.cnki.MPM.202403024
  • Receive Date：2024-03-01
  • Online Date：2026-03-18
  • Published：2024-07-25
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  • Received：2024-03-01
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    Elderly Health Research Center of Public Health School, Xiamen University，Xiamen, Fujian 361000,China
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