ArticleAmerican journal of epidemiology2019
Systems Modeling to Advance the Promise of Data Science in Epidemiology.
Article in American journal of epidemiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
20 citing papers in PubMed.
- Predicting neighborhood-level violence from features of the physical and social environment with machine learning.Injury epidemiology · 2025Article
- Understanding inequitable health care: methodological approaches, challenges, and opportunities.American journal of epidemiology · 2025Article
- Investigating the impacts of alcohol outlet zoning policy on alcohol consumption and access to non-alcoholic services: A spatial agent-based simulation.Health & place · 2025Article
- Article
- Considerations for using participatory systems modeling as a tool for implementation mapping in chronic disease prevention.Annals of epidemiology · 2025Article
- Explaining "U-shaped" distributions of population substance use with a simple computational approach.Journal of artificial societies and social simulation : JASSS · 2025Article
- Incorporating social determinants of health into agent-based models of HIV transmission: methodological challenges and future directions.Frontiers in epidemiology · 2025Review
- Reflective practice is a prerequisite for One Health development.One health outlook · 2024Article
- Using a systems thinking approach to explore the complex relationships between schizophrenia and premature mortality.The International journal of social psychiatry · 2024Article
- Impact of post-incarceration care engagement interventions on HIV transmission among young Black men who have sex with men and their sexual partners: an agent-based network modeling study.Lancet regional health. Americas · 2023Article
- Why has epidemiology not (yet) succeeded in identifying the origin of the asthma epidemic?International journal of epidemiology · 2023Article
- Assessing complexity and dynamics in epidemics: geographical barriers and facilitators of foot-and-mouth disease dissemination.Frontiers in veterinary science · 2023Article
- Article
- Structural racism theory, measurement, and methods: A scoping review.Frontiers in public health · 2023Article
- Causal evidence in health decision making: methodological approaches of causal inference and health decision science.German medical science : GMS e-journal · 2022Review
- Emulating Target Trials to Improve Causal Inference From Agent-Based Models.American journal of epidemiology · 2021Article
- Systems epidemiology and cancer: A review of the National Institutes of Health extramural grant portfolio 2013-2018.PloS one · 2021Review
- Facilitating cancer systems epidemiology research.PloS one · 2021Article
- Epidemiology: Back to the Future.American journal of epidemiology · 2019Article
- Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
Systems science models use computer-based algorithms to model dynamic interactions between study units within and across levels and are characterized by nonlinear and feedback processes. They are particularly valuable approaches that complement the traditional epidemiologic toolbox in cases in which real data are not available and in cases in which traditional epidemiologic methods are limited by issues such as interference, spatial dependence, and dynamic feedback processes. In this commentary, we propose 2 key contributions that systems models can make to epidemiology: 1) the ability to test assumptions about underlying mechanisms that give rise to population distributions of disease; and 2) help in identifying the types of interventions that have the greatest potential to reduce population rates of disease in the future or in new sites where they have not yet been implemented. We discuss central challenges in the application of systems science approaches in epidemiology, propose potential solutions, and predict future developments in the role that systems science can play in epidemiology.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.