| Autor: |
Tracy M; Department of Epidemiology and Biostatistics, School of Public Health, University at Albany, State University of New York, Rensselaer, New York 12144, USA; email: mtracy@albany.edu., Cerdá M; Department of Emergency Medicine, University of California, Davis, Sacramento, California 95616, USA; email: cerda@ucdavis.edu., Keyes KM; Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY 10032, USA; email: kmk2104@columbia.edu. |
| Jazyk: |
angličtina |
| Zdroj: |
Annual review of public health [Annu Rev Public Health] 2018 Apr 01; Vol. 39, pp. 77-94. Date of Electronic Publication: 2018 Jan 12. |
| DOI: |
10.1146/annurev-publhealth-040617-014317 |
| Abstrakt: |
Agent-based modeling is a computational approach in which agents with a specified set of characteristics interact with each other and with their environment according to predefined rules. We review key areas in public health where agent-based modeling has been adopted, including both communicable and noncommunicable disease, health behaviors, and social epidemiology. We also describe the main strengths and limitations of this approach for questions with public health relevance. Finally, we describe both methodologic and substantive future directions that we believe will enhance the value of agent-based modeling for public health. In particular, advances in model validation, comparisons with other causal modeling procedures, and the expansion of the models to consider comorbidity and joint influences more systematically will improve the utility of this approach to inform public health research, practice, and policy. |
| Databáze: |
MEDLINE |
| Externí odkaz: |
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