| Real-time epidemiology and acute care need monitoring and forecasting for covid-19 via Bayesian sequential Monte Carlo-leveraged transmission models X Li, V Patel, L Duan, J Mikuliak, J Basran, ND Osgood International Journal of Environmental Research and Public Health 21 (2), 2024 | 16 | 2024 |
| Applying particle filtering in both aggregated and age-structured population compartmental models of pre-vaccination measles X Li, A Doroshenko, ND Osgood PLoS ONE 13 (11), 2018 | 16 | 2018 |
| The potential of smartphone apps in informing protobacco and antitobacco messaging efforts among underserved communities: longitudinal observational study EWJ Lee, MA Bekalu, R McCloud, D Vallone, M Arya, N Osgood, X Li, ... Journal of medical Internet research 22 (7), e17451, 2020 | 12 | 2020 |
| Compositional modeling with stock and flow diagrams J Baez, X Li, S Libkind, N Osgood, E Patterson arXiv preprint arXiv:2205.08373, 2022 | 10 | 2022 |
| Using a hybrid simulation model to assess the impacts of combined COVID-19 containment measures in a high-speed train station H Zhu, S Liu, X Li, W Zhang, N Osgood, P Jia Journal of Simulation, 1-25, 2023 | 6 | 2023 |
| Illuminating the Hidden Elements and Future Evolution of Opioid Abuse Using Dynamic Modeling, Big Data and Particle Markov Chain Monte Carlo X Li, B Keeler, R Zahan, L Duan, A Safarishahrbijari, J Goertzen, Y Tian, ... | 6 | 2018 |
| Estimating the population impact of hypothetical breastfeeding interventions in a low-income population in Los Angeles County: An agent-based model L Jiang, X Li, MC Wang, N Osgood, SE Whaley, CM Crespi PloS one 15 (4), e0231134, 2020 | 4 | 2020 |
| A Categorical Framework for Modeling with Stock and Flow Diagrams. JC Baez, X Li, S Libkind, N Osgood, E Redekopp arXiv preprint arXiv:2211.01290, 2022 | 2 | 2022 |
| Tobacco messages encountered in real-time among low socio-economic position groups: a descriptive study EM Stevens, C Vázquez-Otero, X Li, M Arya, D Vallone, S Minsky, ... BMC public health 21, 1-6, 2021 | 2 | 2021 |
| A Mechanism-based Outbreak Projection Study of Pertussis (Whooping Cough): Combining Particle Filtering and Compartmental Models with Pre-vaccination Surveillance data X Li, ND Osgood BioRxiv Preprint, 1-48, 2019 | 1 | 2019 |
| Applying particle filtering in complex compartmental models of pre-vaccination pertussis X Li, ND Osgood bioRxiv, 598490, 2019 | 1 | 2019 |
| Incorporating Particle Filtering And System Dynamic Modelling in Infection Transmission of Measles and Pertussis X Li University of Saskatchewan, 2018 | 1 | 2018 |
| SOFTWARE FOR COMPOSITIONAL MODELING IN EPIDEMIOLOGY J Baez, X LI, S LIBKIND, ND OSGOOD, E REDEKOPP | | 2023 |
| Hierarchical and Upstream-Downstream Composition of Stock and Flow Models N Meadows, X Li, ND Osgood arXiv preprint arXiv:2305.02136, 2023 | | 2023 |
Nathaniel OsgoodProfessor of Computer Science (Associate, Comm. Health & Epid.), University of SaskatchewanVerified email at cs.usask.ca
