University of Nebraska Medical Center


Our complete list of publications.

Digital Health

  • Merickel, J. & Rizzo, M. (2022). Brain on the road. In Marcotte, T., Schmitter-Edgecombe, M., & Grant, I. (Eds.), Neuropsychology of everyday functioning, 2nd edition (pp. 223-262). Guilford Publications, Inc. 
  • Drincic, A., Desouza, C., Rizzo, M., & Merickel, J. (2020). Digital health technologies, diabetes, and driving (meet your new backseat driver). In Klonoff, D. C., Kerr, D., Mulvaney, S. (Eds.), Diabetes digital health (pp. 219-230). Elsevier. https://doi.org/10.1016/B978-0-12-817485-2.00016-X 

Aging and Alzheimer’s Disease 

  • Merickel, J., High, R., Dawson, J., & Rizzo, M. (2019). Real-world risk exposure in older drivers with cognitive and visual dysfunction. Traffic Injury Prevention, 20(sup2), S110-S115. https://doi.org10.1080/15389588.2019.1688794. PMCID: PMC7035173 
  • Rizzo, M. (2011). Impaired driving from medical conditions: A 70-year-old man trying to decide if he should continue driving. Journal of the American Medical Association, 305, 1018-1026. PMCID PMC3289256. 


  • Barnwal, A., Chakraborty, P., Sharma, A., Riera-Garcia, L., Ozcan, K., Davami, S., Sarkar, S., Rizzo, M., & Merickel, J. (2022). Sugar and stops in drivers with insulin-dependent type 1 diabetes. Accident Analysis & Prevention, 173, 106692. https://doi.org/10.1016/j.aap.2022.106692 
  • Merickel, J., Robin, H., Smith, L., Wichman, C., Frankel, E., Smits, K., Drincic, A., Desouza, C., Gunaratne, P., Ebe, K., & Rizzo, M. (2019). Driving safety and real-time glucose monitoring in insulin-dependent diabetes. International Journal of Automotive Engineering, 10(1), 34-40. https://doi.org/10.20485/jsaeijae.10.1_34. PMCID: PMC8297408 

Parkinson’s Disease 

  • Uc, E. Y., Rizzo, M., O'Shea, A. M. J., Anderson, S. W., & Dawson, J. D. (2017). Longitudinal decline of driving safety in Parkinson disease. Neurology, 89(19), 1951-1958. doi:10.1212/wnl.0000000000004629 
  • Uc, E. Y., Rizzo, M., Johnson, A. M., Emerson, J. L., Liu, D., Mills, E. D., Anderson, S. W., & Dawson, J. D. (2011). Real-life driving outcomes in Parkinson Disease. Neurology, 73, 2112-2119. PMCID PMC3115811. 


  • Rizzo, M, Stern, H. S. (Eds.), National Academies of Sciences, Engineering, and Medicine (2016). Commercial Motor Vehicle Driver Fatigue, Long-Term Health, and Highway Safety: Research Needs. Washington, DC: The National Academies Press. doi:https://doi.org/10.17226/21921. 
  • McLaurin, E. J., Lee, J. D., McDonald, A. D., Aksan, N., Dawson, J., Tippin, J., & Rizzo, M. (2018). Using Topic Modeling to Develop Multi-level Descriptions of Naturalistic Driving Data from Drivers with and without Sleep Apnea. Transportation research. Part F, Traffic psychology and behaviour, 58, 25–38. https://doi.org/10.1016/j.trf.2018.05.019 PMCID PMC6294309  
  • https://pubmed.ncbi.nlm.nih.gov/30559601/ 

Mobility and Arthritis 

  • Zhou, D., Mikuls, T., Schmidt, C., England, B., Bergman, D., Rizzo, M., & Merickel, J., Michaud, K. (2020). Driving ability and safety in rheumatoid arthritis: A systematic review. Arthritis Care & Research, 73(4), 489-497. https://doi.org/10.1002/acr.24137 
  • Mikuls, T., Merickel, J., Gwon, Y., Sayles, H., Petro, A., Cannella, A., Snow, M., Feely, M., England, B., Michaud, K., & Rizzo, M. (2023). Vehicle control as a measure of real-world driving performance in patients with rheumatoid arthritis. Arthritis Care & Research, 75(2), 252-259. https://doi.org/10.1002/acr.24769 

Big Data Analysis for Digital Health 

  • Aboah, A., Adu-Gyamfi, Y., Velipasalar, G., Merickel, J., Rizzo, M., & Sharma, A. (2023). Driver maneuver detection and analysis using time series segmentation and classification. Journal of Transportation Engineering, Part A: Systems, 149(3), 04022157. https://doi.org/10.1061/JTEPBS.TEENG-7312 
  • Ozcan K., Sharma A., Knickerbocker S., Merickel J., Hawkins N., & Rizzo M. (2020. Road weather condition estimation using fixed and mobile based cameras. In Arai K., Kapoor S. (Eds.), Advances in Intelligent Systems and Computing - CVC 2019: Advances in Computer Vision, 943(pp. 192-204). Springer, Cham. https://doi.org/10.1007/978-3-030-17795-9_14 
  • https://pubmed.ncbi.nlm.nih.gov/26203202/ 
  • McDonald, A. D., Lee, J. D., Aksan, N. S., Dawson, J. D., Tippin, J., & Rizzo, M. (2013). The Language of Driving: Advantages and Applications of Symbolic Data Reduction for Analysis of Naturalistic Driving Data. Transportation research record, 2392, 22–30. https://doi.org/10.3141/2392-03 PMCID PMC4507408