Cargando…
Using cause-effect graphs to elicit expert knowledge for cross-impact balance analysis
Cross-impact balance (CIB) analysis leverages expert knowledge pertaining to the nature and strength of relationships between components of a system to identify the most plausible future ‘scenarios’ of the system. These scenarios, also referred to as ‘storylines’, provide qualitative insights into h...
Autores principales: | Stankov, Ivana, Useche, Andres F., Meisel, Jose D., Montes, Felipe, Morais, Lidia MO., Friche, Amelia AL., Langellier, Brent A., Hovmand, Peter, Sarmiento, Olga L., Hammond, Ross A., Diez Roux, Ana V. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7611690/ https://www.ncbi.nlm.nih.gov/pubmed/34557387 http://dx.doi.org/10.1016/j.mex.2021.101492 |
Ejemplares similares
-
From causal loop diagrams to future scenarios: Using the cross-impact balance method to augment understanding of urban health in Latin America
por: Stankov, Ivana, et al.
Publicado: (2021) -
Using community-based system dynamics modeling to understand the complex systems that influence health in cities: The SALURBAL study
por: Langellier, Brent A., et al.
Publicado: (2019) -
Potential impacts of policies to reduce purchasing of ultra-processed foods in Mexico at different stages of the social transition: an agent-based modelling approach
por: Langellier, Brent A, et al.
Publicado: (2022) -
A systematic review of empirical and simulation studies evaluating the health impact of transportation interventions
por: Stankov, Ivana, et al.
Publicado: (2020) -
Use of qualitative systems mapping and causal loop diagrams to understand food environments, diet and obesity: a scoping review protocol
por: Stankov, Ivana, et al.
Publicado: (2023)