Mainstreaming modeling and simulation to accelerate public health innovation
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Abstract
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DOI: 10.2105/AJPH.2014.301873
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Cited by:
- 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.
- Darren Nel & Araz Taeihagh, 2024. "The soft underbelly of complexity science adoption in policymaking: towards addressing frequently overlooked non-technical challenges," Policy Sciences, Springer;Society of Policy Sciences, vol. 57(2), pages 403-436, June.
- 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.
- 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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Keywords
article; computer simulation; cooperation; health behavior; health care planning; human; interpersonal communication; management; methodology; obesity; public health; systems theory; theoretical model; Communication; Computer Simulation; Cooperative Behavior; Health Behavior; Health Planning; Humans; Models; Theoretical; Obesity; Policy Making; Public Health; Research Design; Systems Theory;All these keywords.
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