Dynamic Simulation of Community Crime and Crime-Reporting Behavior

Yonas, Michael A.; Borrebach, Jeffrey D.; Burke, Jessica G.; Brown, Shawn T.; Philp, Katherine; Burke, Donald S.; Grefenstette, John J.

doi:10.1007/978-3-642-19656-0_16

Cited by 3 publications

(2 citation statements)

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“…A interdisciplinary study team affiliated with the Public Health Dynamics Lab (PHDL) at the University of Pittsburgh and including individuals with backgrounds in community health, intervention development, translational research, computational modeling, and violence, worked together to develop a conceptual ABM to explore the impact and effectiveness of community crime interventions [22, 26]. The ultimate goal of the work is to provide a computational tool that can be used to assist in strategic and implementation planning to prevent or reduce crime in local communities.…”

Section: Introductionmentioning

confidence: 99%

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Enhancing Dissemination and Implementation Research Using Systems Science Methods

et al. 2014

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PURPOSE Dissemination and implementation (D&I) research seeks to understand and overcome barriers to adoption of behavioral interventions that address complex problems; specifically interventions that arise from multiple interacting influences crossing socio-ecological levels. It is often difficult for research to accurately represent and address the complexities of the real world, and traditional methodological approaches are generally inadequate for this task. Systems science methods, expressly designed to study complex systems, can be effectively employed for an improved understanding about dissemination and implementation of evidence-based interventions. METHODS Case examples of three systems science methods – system dynamics modeling, agent-based modeling, and network analysis – are used to illustrate how each method can be used to address D&I challenges. RESULTS The case studies feature relevant behavioral topical areas: chronic disease prevention, community violence prevention, and educational intervention. To emphasize consistency with D&I priorities, the discussion of the value of each method is framed around the elements of the established Reach Effectiveness Adoption Implementation Maintenance (RE-AIM) framework. CONCLUSIONS Systems science methods can help researchers, public health decision makers and program implementers to understand the complex factors influencing successful D&I of programs in community settings, and to identify D&I challenges imposed by system complexity.

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Section: Introductionmentioning

confidence: 99%

“…This type of simulation ensures a better balance of long-term sustainability with short-term feasibility and impact. Additional information about the ABM model of community violence prevention addressed in this section can be found elsewhere [22, 26]. …”

Section: Introductionmentioning

confidence: 99%