Publications by Statistical Genetics and Epidemiology

Our research spans areas of statistical genetics, in particular the development of powerful statistical approaches to analyse genetic data, as well as studying infectious diseases.

Vicco, A. et al. (2023) “A simulation-based method to inform serosurvey designs for estimating the force of infection using existing blood samples”, PLoS Computational Biology, 19(11).

Penn, M. et al. (2023) “Sherlock - A flexible, low-resource tool for processing camera-trapping images”, Methods in Ecology and Evolution, 15(1), pp. 91–102.

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.

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

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), pp. 6958–6958.

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

Herriott, L. et al. (2023) “EpiGeoPop: a tool for developing spatially accurate country-level epidemiological models.”

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

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

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].