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My research program is focused on improving the accuracy of traumatic and non-traumatic spinal cord injury surveillance using administrative health data. I employ latent class modelling and Bayesian methods to circumvent challenges in using administrative health data to complete spinal cord injury surveillance. By having improved surveillance using administrative health data, better assessments of the injury burden are possible using widely-accessible and relatively inexpensive data. Furthermore, these improved spinal cord injury surveillance methods provide a means to complete valid and efficient epidemiologic research that investigates interventions that mitigate the spinal cord injury burden.
Spinal Cord Injury Surveillance.
Golan JD, Elkaim LM, Alrashidi Q, Georgiopoulos M, Lasry O. Eur Spine J. 2023 Aug;32(8):2627-2636. doi: 10.1007/s00586-023-07699-0. Epub 2023 Apr 19. PMID: 37074492.
Elkaim LM, Levett JJ, Niazi F, Alvi MA, Shlobin NA, Linzey JR, Robertson F, Bokhari R, Alotaibi NM, Lasry O. J Med Internet Res. 2023 May 22;25:e42097. doi: 10.2196/42097. PMID: 37213188; PMCID: PMC10242472.
Lasry O, Dendukuri N, Marcoux J, Buckeridge DL. Front Neurol. 2021 May 14;12:664631. doi: 10.3389/fneur.2021.664631. PMID: 34054707; PMCID: PMC8160293.
Lasry O, Dendukuri N, Marcoux J, Buckeridge DL. Epidemiology. 2018 Nov;29(6):876-884. doi: 10.1097/EDE.0000000000000888. PMID: 29994868.
Lasry O, Liu EY, Powell GA, Ruel-Laliberté J, Marcoux J, Buckeridge DL. Neurology. 2017 Nov 21;89(21):2198-2209. doi: 10.1212/WNL.0000000000004671. Epub 2017 Oct 25. PMID: 29070664; PMCID: PMC5696641.