| Literature DB >> 30844571 |
John D Prochaska1, Hyunjung Kim2, Robert N Buschmann3, Daniel Jupiter4, Sharon Croisant5, Stephen H Linder6, Ken Sexton7.
Abstract
The potential of system dynamics modeling to advance our understanding of cumulative risk in the service of optimal health is discussed. The focus is on exploring system dynamics modeling as a systems science methodology that can provide a framework for examining the complexity of real-world social and environmental exposures among populations-particularly those exposed to multiple disparate sources of risk. The discussion also examines how system dynamics modeling can engage a diverse body of key stakeholders throughout the modeling process, promoting the collective assessment of assumptions and systematic gathering of critical data. Though not a panacea, system dynamics modeling provides a promising methodology to complement traditional research methods in understanding cumulative health effects from exposure to multiple environmental and social stressors.Entities:
Mesh:
Year: 2019 PMID: 30844571 PMCID: PMC6755670 DOI: 10.1016/j.envres.2019.02.039
Source DB: PubMed Journal: Environ Res ISSN: 0013-9351 Impact factor: 6.498