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Jalali MS, DiGennaro C, Guitar A, et al. Evolution and Reproducibility of Simulation Modeling in Epidemiology and Health Policy Over Half a Century. Epidemiol Rev. 2022;43(1):166-175doi: 10.1093/epirev/mxab006.
Jalali, M. S., DiGennaro, C., Guitar, A., Lew, K., & Rahmandad, H. (2022). Evolution and Reproducibility of Simulation Modeling in Epidemiology and Health Policy Over Half a Century. Epidemiologic reviews, 43(1), 166-175. https://doi.org/10.1093/epirev/mxab006
Jalali, Mohammad S, et al. "Evolution and Reproducibility of Simulation Modeling in Epidemiology and Health Policy Over Half a Century." Epidemiologic reviews vol. 43,1 (2022): 166-175. doi: https://doi.org/10.1093/epirev/mxab006
Jalali MS, DiGennaro C, Guitar A, Lew K, Rahmandad H. Evolution and Reproducibility of Simulation Modeling in Epidemiology and Health Policy Over Half a Century. Epidemiol Rev. 2022 Jan 14;43(1):166-175. doi: 10.1093/epirev/mxab006. PMID: 34505122.
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Epidemiol Rev. 2022 Jan 14;43(1):166-175. doi: 10.1093/epirev/mxab006.

Evolution and Reproducibility of Simulation Modeling in Epidemiology and Health Policy Over Half a Century.

Epidemiologic reviews

Mohammad S Jalali, Catherine DiGennaro, Abby Guitar, Karen Lew, Hazhir Rahmandad

PMID: 34505122 DOI: 10.1093/epirev/mxab006

Abstract

Simulation models are increasingly being used to inform epidemiologic studies and health policy, yet there is great variation in their transparency and reproducibility. In this review, we provide an overview of applications of simulation models in health policy and epidemiology, analyze the use of best reporting practices, and assess the reproducibility of the models using predefined, categorical criteria. We identified and analyzed 1,613 applicable articles and found exponential growth in the number of studies over the past half century, with the highest growth in dynamic modeling approaches. The largest subset of studies focused on disease policy models (70%), within which pathological conditions, viral diseases, neoplasms, and cardiovascular diseases account for one-third of the articles. Model details were not reported in almost half of the studies. We also provide in-depth analysis of modeling best practices, reporting quality and reproducibility of models for a subset of 100 articles (50 highly cited and 50 randomly selected from the remaining articles). Only 7 of 26 in-depth evaluation criteria were satisfied by more than 80% of samples. We identify areas for increased application of simulation modeling and opportunities to enhance the rigor and documentation in the conduct and reporting of simulation modeling in epidemiology and health policy.

© The Author(s) 2021. Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health.

Keywords: health policy; reproducibility; simulation modeling

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