|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
|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
|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
|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, ...
|Applying particle filtering in complex compartmental models of pre-vaccination pertussis|
X Li, ND Osgood
|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, 598490, 2019
|Incorporating Particle Filtering and System Dynamic Modelling in Infection Transmission of Measles and Pertussis|
University of Saskatchewan, 2018
|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), 1-6, 2021