Capturing multi-stage fuzzy uncertainties in hybrid system dynamics and agent-based models for enhancing policy implementation in health systems research.

Journal: PloS one
Published Date: Jan 1, 2018

Abstract

BACKGROUND: In practical research, it was found that most people made health-related decisions not based on numerical data but on perceptions. Examples include the perceptions and their corresponding linguistic values of health risks such as, smoking, syringe sharing, eating energy-dense food, drinking sugar-sweetened beverages etc. For the sake of understanding the mechanisms that affect the implementations of health-related interventions, we employ fuzzy variables to quantify linguistic variable in healthcare modeling where we employ an integrated system dynamics and agent-based model.

Authors

  • Shiyong Liu
    School of Physics and Key Laboratory of Molecular Biophysics of the Ministry of Education, Huazhong University of Science and Technology, Wuhan, Hubei, China.
  • Konstantinos P Triantis
    Department of Industrial and Systems Engineering, Virginia Tech, Blacksburg, VA, United States.
  • Li Zhao
    International Initiative on Spatial Lifecourse Epidemiology (ISLE), the Netherlands; Department of Health Policy and Management, West China School of Public Health/West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, 610041, China; Research Center for Healthy City Development, Sichuan University, Chengdu, Sichuan, 610041, China; Healthy Food Evaluation Research Center, Sichuan University, Chengdu, Sichuan, 610041, China.
  • Youfa Wang
    The First Affiliated Hospital of Xi'an Jiaotong University Public Health Institute, Global Health Institute, School of Public Health, International Obesity and Metabolic Disease Research Center, Xi'an Jiaotong University, Xi'an 710061, People's Republic of China.

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