Research
My research interests lie in the application and development of optimization and machine learning methodologies to generate actionable recommendations and inform policy for clinicians, healthcare systems, and health organizations.
Peer Reviewed Publications
Sun CLF, Jaffe E, and Levi R. (2022). Increased emergency cardiovascular events among under-40 population in Israel during vaccine rollout and third COVID-19 wave. Scientific Reports, 12 (1).
Sun C. L., Li D., Zenteno A. C., Bravard M. A., Carolan P., Daily B., Elamin S., Ha J., Moore A., Safavi K., Yun B. J., Dunn P., Levi R., Richter J. M. (2022). Low volume bowel preparation is associated with reduced time to colonoscopy in hospitalized patients: a propensity matched analysis. Clinical and Translational Gastroenterology.
Stoesser, C. E., Boutilier, J. J., Sun, C. L., Brooks, S.C., Cheskes, S., Dainty, K.N., Feldman, M., Ko, D., Lin, S., Morrison, L.J., Scales, D.C., & Chan, T.C. (2021). Moderating effects of out-of-hospital cardiac arrest response characteristics on the association between EMS response time and survival. Resuscitation, 169, 31-38.
Karlsson L., Sun C. L., Torp-Pedersen C., Wodschow K., Ersbøll A. K., Wissenberg M., Hansen C. M., Morrison L. J., Chan T. C., Folke F. (2021). Implications for cardiac arrest coverage using straight-line versus route distance to nearest automated external defibrillator. Resuscitation. 167, 326-335.
Sun, C. L., Dyer, S., Salvia, J., Segal, L., Levi, R. (2021). Evidence of worse outcomes related to out-of-hospital cardiac arrest during the COVID-19 pandemic due to patient reluctance to seek care. Health Affairs, 10-1377.
Sun, C. L., Zuccarelli, E., Zerhouni, E. A., Lee, J., Muller, J., Scott, K. M., Lujan, A. M., & Levi R. (2020). Predicting COVID-19 Infection Risk and Related Risk Drivers in Nursing Homes: A Machine Learning Approach. Journal of the American Medical Directors Association, 21 (11), 1533-1538.
Sun, C. L., Karlsson, L., Morrison, L. J., Brooks, S. C., Folke, F., & Chan, T. C. (2020). Effect of Optimized Versus Guidelines‐Based Automated External Defibrillator Placement on Out‐of‐Hospital Cardiac Arrest Coverage: An In Silico Trial. Journal of the American Heart Association. 9(17),
Leung, K. B., Sun, C. L., Yang, M., Allan, K. S., Wong, N., & Chan, T. C. (2020). Optimal in-hospital defibrillator placement. Resuscitation, 151, 91-98.
Karlsson, L., Hansen, C. M., Vourakis, C., Sun, C. L., Rajan, S., Søndergaard, K. B., Andelius, L., Lippert, F. K., Gislason, G. H., Chan, T. C., Torp-Pedersen C., & Folke F. (2020). Improving bystander defibrillation in out-of-hospital cardiac arrests at home. European Heart Journal: Acute Cardiovascular Care. (Available Online)
Sun, C. L., Karlsson, L., Torp-Pedersen, C., Morrison, L. J., Brooks, S. C., Folke, F., & Chan, T. C. (2019). In Silico Trial of Optimized Versus Actual Public Defibrillator Locations. Journal of the American College of Cardiology, 74(12), 1557-1567.
Sun, C. L., Karlsson, L., Torp-Pedersen, C., Morrison, L. J., Folke, F., & Chan, T. C. (2018). Spatiotemporal AED optimization is generalizable. Resuscitation, 131, 101-107.
Sun, C. L., Brooks, S. C., Morrison, L. J., & Chan, T. C. (2017). Ranking businesses and municipal locations by spatiotemporal cardiac arrest risk to guide public defibrillator placement. Circulation, 135(12), 1104-1119.
Sun, C. L., Demirtas, D., Brooks, S. C., Morrison, L. J., & Chan, T. C. (2016). Overcoming spatial and temporal barriers to public access defibrillators via optimization. Journal of the American College of Cardiology, 68(8), 836-845.