Mainstreaming modeling and simulation to accelerate public health innovation

Paul P Maglio1, Martin-J Sepulveda, Patricia L Mabry

  • 1Paul P. Maglio is with the School of Engineering, University of California, Merced, and IBM Research, Almaden, CA. Martin-J. Sepulveda is with Health Systems and Policy Research, IBM Research, Yorktown, NY. At the time of the study, Patricia L. Mabry was with the Office of Behavioral and Social Sciences Research, National Institutes of Health, Bethesda, MD and is now with the Office of Disease Prevention, National Institutes of Health, Rockville, MD. Patricia L. Mabry is also a guest editor for this theme issue.

Summary

Dynamic modeling and simulation are valuable systems science tools for population health, but face adoption barriers. Overcoming these requires better data integration, training, collaboration incentives, and increased funding for systems science in health.

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