Publications

Torabi, F. et al. (2023) “Wastewater-based surveillance models for COVID-19: A focused review on spatio-temporal models”, Heliyon, 9(11), p. e21734.

Huh, J. and Rebeschini, P. (2023) “Generalization bounds for label noise stochastic gradient descent”, arXiv.

Jiang, X. et al. (2023) “Age-dependent topic modeling of comorbidities in UK Biobank identifies disease subtypes with differential genetic risk”, Nature Genetics, 55(11), pp. 1854–1865.

Kim, Y. et al. (2023) “Lessons for cross-species viral transmission surveillance from highly pathogenic avian influenza Korean cat shelter outbreaks”, Nature Communications, 14(1), p. 6958.

Atchison, C. et al. (2023) “Long-term health impacts of COVID-19 among 242,712 adults in England”, Nature Communications, 14(1), p. 6588.

Bhatia, S. et al. (2023) “Retrospective evaluation of real-time estimates of global COVID-19 transmission trends and mortality forecasts”, PLoS ONE, 18(10).

Cooper, B. et al. (2023) “The burden and dynamics of hospital-acquired SARS-CoV-2 in England”, Nature, 623, pp. 132–138.

Carrera Carrera, J. et al. (2023) “Real-time RT-PCR for Venezuelan equine encephalitis complex, Madariaga and Eastern equine encephalitis viruses: application in human and mosquito public health surveillance in Panama”, Journal of Clinical Microbiology [Preprint].

Ward, H. et al. (2023) “Design and implementation of a national program to monitor the prevalence of SARS-CoV-2 IgG antibodies in England using self-testing: the REACT-2 study”, American Journal of Public Health, 113(11), pp. 1201–1209.

Johnson, E., Pike-Burke, C. and Rebeschini, P. (2023) “Sample-Efficiency in Multi-Batch Reinforcement Learning: The Need for Dimension-Dependent Adaptivity”, arXiv.