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Mainstreaming modeling and simulation to accelerate public health innovation

Author

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  • Maglio, P.P.
  • Sepulveda, M.-J.
  • Mabry, P.L.

Abstract

Dynamic modeling and simulation are systems science tools that examine behaviors and outcomes resulting from interactions among multiple system components over time. Although there are excellent examples of their application, they have not been adopted as mainstream tools in population health planning and policymaking. Impediments to their use include the legacy and ease of use of statistical approaches that produce estimates with confidence intervals, the difficulty of multidisciplinary collaboration for modeling and simulation, systems scientists' inability to communicate effectively the added value of the tools, and low funding for population health systems science. Proposed remedies include aggregation of diverse data sets, systems science training for public health and other health professionals, changing research incentives toward collaboration, and increased funding for population health systems science projects.

Suggested Citation

  • Maglio, P.P. & Sepulveda, M.-J. & Mabry, P.L., 2014. "Mainstreaming modeling and simulation to accelerate public health innovation," American Journal of Public Health, American Public Health Association, vol. 104(7), pages 1181-1186.
    • Handle: RePEc:aph:ajpbhl:10.2105/ajph.2014.301873_5
    DOI: 10.2105/AJPH.2014.301873
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    Cited by:

    1. Jalali, Mohammad S. & Rahmandad, Hazhir & Bullock, Sally Lawrence & Lee-Kwan, Seung Hee & Gittelsohn, Joel & Ammerman, Alice, 2019. "Dynamics of intervention adoption, implementation, and maintenance inside organizations: The case of an obesity prevention initiative," Social Science & Medicine, Elsevier, vol. 224(C), pages 67-76.
    2. Tiago França Melo De Lima & Raquel Martins Lana & Tiago Garcia De Senna Carneiro & Cláudia Torres Codeço & Gabriel Souza Machado & Lucas Saraiva Ferreira & Líliam César De Castro Medeiros & Clodoveu A, 2016. "DengueME: A Tool for the Modeling and Simulation of Dengue Spatiotemporal Dynamics," IJERPH, MDPI, vol. 13(9), pages 1-21, September.
    3. Weeks, Margaret R. & Green Montaque, Helena D. & Lounsbury, David W. & Li, Jianghong & Ferguson, Alice & Warren-Dias, Danielle, 2022. "Using participatory system dynamics learning to support Ryan White Planning Council priority setting and resource allocations," Evaluation and Program Planning, Elsevier, vol. 93(C).

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