The risk of a widespread epidemic is a primary public health concern with implications for healthcare providers and organizations. Modeling and simulation techniques have been successfully applied at the national level to set governmental polices and mitigation strategies through simulation-based predictions. Existing research in this field has been non-uniform in its coverage of local systems and region-specific findings. New collaborations between on the ground providers and modeling groups are required for successful simulation-based experimentation of region-specific health systems. These proposed collaborations are expected to contribute high-quality sub-population datasets to be used in experiments at the national level and allow for the reuse of existing disease models and simulation infrastructure in support of regional predictive experimentation.
WMU ScholarWorks Citation
Leidig, Jonathan P.; Barrett, Chris L.; and Marathe, Madhav, "Guiding Health Care Policy through Applied Public Health Modeling and Simulation" (2011). Transactions of the International Conference on Health Information Technology Advancement. 14.