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Investigating the Diffusion of Agent†based Modelling and System Dynamics Modelling in Population Health and Healthcare Research

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  • Shiyong Liu
  • Hong Xue
  • Yan Li
  • Judy Xu
  • Youfa Wang

Abstract

System dynamics modelling (SDM) applications in health research began to appear in 1972 while agent†based modelling (ABM) applications first appeared in 1995, but their applications have increased dramatically over the last decade. This study examines the diffusion patterns of these two approaches and the main driving factors. We conducted a systematic analysis of 653 journal articles published from 1972 to 2014 that employed two approaches in health research and found that over the last few years, there has been a rapid increase of studies in using ABM compared with SDM, partly due to the launching of new journals and the application of ABM to a broad range of topics. The concentration of SDM studies in just a few journals may be adversely affecting its diffusion. The last decade saw acceleration in using ABM to investigate infectious diseases and cancer while SDM applications have predominantly focused on non†communicable diseases such as obesity. Copyright © 2017 John Wiley & Sons, Ltd.

Suggested Citation

  • Shiyong Liu & Hong Xue & Yan Li & Judy Xu & Youfa Wang, 2018. "Investigating the Diffusion of Agent†based Modelling and System Dynamics Modelling in Population Health and Healthcare Research," Systems Research and Behavioral Science, Wiley Blackwell, vol. 35(2), pages 203-215, March.
    • Handle: RePEc:bla:srbeha:v:35:y:2018:i:2:p:203-215
    DOI: 10.1002/sres.2460
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    Cited by:

    1. Matthew Franklin & Sebastian Hinde & Rachael Maree Hunter & Gerry Richardson & William Whittaker, 2024. "Is Economic Evaluation and Care Commissioning Focused on Achieving the Same Outcomes? Resource-Allocation Considerations and Challenges Using England as a Case Study," Applied Health Economics and Health Policy, Springer, vol. 22(4), pages 435-445, July.
    2. Weiwei Zhang & Shiyong Liu & Nathaniel Osgood & Hongli Zhu & Ying Qian & Peng Jia, 2023. "Using simulation modelling and systems science to help contain COVID‐19: A systematic review," Systems Research and Behavioral Science, Wiley Blackwell, vol. 40(1), pages 207-234, January.
    3. Weiwei Zhang & Thomas Huggins & Wenwen Zheng & Shiyong Liu & Zhanwei Du & Hongli Zhu & Ahmad Raza & Ahmad Hussen Tareq, 2022. "Assessing the Dynamic Outcomes of Containment Strategies against COVID-19 under Different Public Health Governance Structures: A Comparison between Pakistan and Bangladesh," IJERPH, MDPI, vol. 19(15), pages 1-22, July.

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