Agent-Based Modeling of Noncommunicable Diseases: A Systematic Review

Nianogo, Roch A.; Arah, Onyebuchi A.

doi:10.2105/ajph.2014.302426

Cited by 118 publications

(97 citation statements)

References 57 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Agent-based models (ABM), as a bottom-up approach, can be used complementarily with statistical analysis at the operational level. Dynamic processes and causal relationships could be explicitly implemented in an ABM to test hypotheses, make predictions, or explore policy interventions 130,131 . For example, an ABM has been developed to examine the influence of spatial segregation and travel cost influences on utilitarian walking 132 .…”

Section: Discussionmentioning

confidence: 99%

A dynamic framework on travel mode choice focusing on utilitarian walking based on the integration of current knowledge

Yang

2016

Journal of Transport & Health

View full text Add to dashboard Cite

Recently, research on utilitarian walking has gained momentum due to its benefits on both health and the environment. However, our overall understanding of how built and social environments affect travel mode choice (walking or not) is still limited, and most existing frameworks on travel mode choice lack dynamic processes. After a review of several mainstream theories and a number of frameworks, we propose an integrated framework. The basic constructs in the travel mode choice function are utilities, constraints, attitudes, and habits. With a hierarchical structure and heuristic rules, the travel mode choice function is modified by individual characteristics and travel characteristics. The framework explicitly presents several dynamic processes, including the perception process on the environment, attitude formation process, habit formation process, interactions among an individual’s own behaviors, interactions among travelers, feedback from travel to the built and social environments, and feedback from other behaviors to the built and social environments. For utilitarian walking, the framework may contribute to the study design, data collection, adoption of new research methods, and provide indications for policy interventions.

show abstract

Section: Discussionmentioning

confidence: 99%

A dynamic framework on travel mode choice focusing on utilitarian walking based on the integration of current knowledge

Yang

2016

Journal of Transport & Health

View full text Add to dashboard Cite

show abstract

“…Recent reviews note that ABM is now widely used, for example, in health [296] and more specifically oncology [297]; epidemiology [298]; chronic [299] and noncommunicable diseases [300]. Other reviews look at their use in organizational science [301]; emergency response [302]; land use [303,304]; manufacturing [305]; ecosystem management [306]; and marketing [228,307].…”

Section: Agent-based Modellingmentioning

confidence: 99%

Creating Agent-Based Energy Transition Management Models That Can Uncover Profitable Pathways to Climate Change Mitigation

Hoekstra

Steinbuch

Verbong³

2017

Complexity

View full text Add to dashboard Cite

The energy domain is still dominated by equilibrium models that underestimate both the dangers and opportunities related to climate change. In reality, climate and energy systems contain tipping points, feedback loops, and exponential developments. This paper describes how to create realistic energy transition management models: quantitative models that can discover profitable pathways from fossil fuels to renewable energy. We review the literature regarding agent-based economics, disruptive innovation, and transition management and determine the following requirements. Actors must be detailed, heterogeneous, interacting, learning, and strategizing. Technology should be represented as a detailed and heterogeneous portfolio that can develop in a bottom-up manner, using endogenous feedback loops. Assumptions about discount rates and the social cost of carbon should be configurable. The model should contain interactions between the global, national, local, and individual level. A review of modelling techniques shows that equilibrium models are unsuitable and that system dynamics and discrete event simulation are too limited. The agent-based approach is found to be uniquely suited for the complex adaptive sociotechnical systems that must be modelled. But the choice for agent-based models does not mean a rejection of other approaches because they can be accommodated within the agent-based framework. We conclude with practical guidelines.

show abstract

“…Given the complexity of the global syndemic , complex system science approaches such as agent‐based and system dynamics computational modeling are particularly helpful because they are able to model feedback, interdependence, and emergence . These approaches are also increasingly used in public health . Agent‐based models represent system behavior as emerging bottom‐up from interactions of individual actors with each other and their environment according to a set of prespecified rules .…”

Section: Introductionmentioning

confidence: 99%

“…4,[9][10][11] These approaches are also increasingly used in public health. 4,9,12,13 Agent-based models represent system behavior as emerging bottom-up from interactions of individual actors with each other and their environment according to a set of prespecified rules. 14 System dynamics models represent patterns of behavior of systems as a result of generalizable underlying structures whose main elements are endogenous feedback and accumulation of quantities in a system over time.…”

mentioning

confidence: 99%

A systematic review of system dynamics and agent‐based obesity models: Evaluating obesity as part of the global syndemic

et al. 2019

View full text Add to dashboard Cite

Summary The problem of obesity has recently been reframed as part of the global syndemic—the co‐occurring, interacting pandemics of obesity, undernutrition, and climate change that are driven by common underlying societal drivers. System science modeling approaches may help clarify how these shared drivers operate and the best ways to address them. The objective of this paper was to determine to what extent existing agent‐based and system dynamics computational models of obesity provide insights into the shared drivers of the global syndemic. Peer‐reviewed studies published until July 2018 were identified from Scopus, Web of Science, and PubMed databases. Thirty‐eight studies representing 30 computational models were included. They show a growing use of system dynamics and agent‐based modeling in the past decade. They most often examined mechanisms and interventions in the areas of social network‐based influences on obesity, physiology and disease state mechanics, and the role of food and physical activity environments. Usefulness for identifying common drivers of the global syndemic was mixed; most models represented Western settings and focused on obesity determinants close to the person (eg, social circles, school settings, and neighborhood environments), with a relative paucity in models at mesolevel and macrolevel and in developing country contexts.

show abstract

Agent-Based Modeling of Noncommunicable Diseases: A Systematic Review

Cited by 118 publications

References 57 publications

A dynamic framework on travel mode choice focusing on utilitarian walking based on the integration of current knowledge

A dynamic framework on travel mode choice focusing on utilitarian walking based on the integration of current knowledge

Creating Agent-Based Energy Transition Management Models That Can Uncover Profitable Pathways to Climate Change Mitigation

A systematic review of system dynamics and agent‐based obesity models: Evaluating obesity as part of the global syndemic

Contact Info

Product

Resources

About