Summary
Summary
My current research focuses on modelling the spread and control of bacterial sexually transmitted infections in the UK.
In previous roles, I have explored potential impact of pre-exposure prophylaxis (PrEP) on HIV transmission among men who have sex with men, and interventions involving rapid testing on SARS-CoV-2 transmission in secondary schools. Before this, during my PhD I considered a range of network approaches to modelling epidemics in human populations.
More generally, I am interested in the importance of including contact network structure in epidemiological models, and designing models that incorporate appropriate levels of structure to answer questions for public health.
Publications
Leng, T., Hill, E.M., Holmes, A., Southall, E., Thompson, R.N., Tildesley, M.J., Keeling, M.J. and Dyson, L., 2022. Quantifying pupil-to-pupil SARS-CoV-2 transmission and the impact of lateral flow testing in English secondary schools. Nature communications, 13(1), pp.1-11.
Leng, T., Hill, E.M., Thompson, R.N., Tildesley, M.J., Keeling, M.J. and Dyson, L., 2022. Assessing the impact of lateral flow testing strategies on within-school SARS-CoV-2 transmission and absences: A modelling study. PLOS Computational Biology, 18(5), p.e1010158.
Leng, T., Hill, E.M., Keeling, M.J., Tildesley, M.J. and Thompson, R.N., 2022. The effect of notification window length on the epidemiological impact of COVID-19 contact tracing mobile applications. Communications Medicine, 2(1), pp.1-7.
Leng, T., White, C., Hilton, J., Kucharski, A., Pellis, L., Stage, H., Davies, N.G., Keeling, M.J. and Flasche, S., 2020. The effectiveness of social bubbles as part of a Covid-19 lockdown exit strategy, a modelling study. Wellcome Open Research, 5(213), p.213.
Southall, E.R., Holmes, A., Hill, E.M., Atkins, B.D., Leng, T., Thompson, R.N., Dyson, L.J., Keeling, M.J. and Tildesley, M., 2021. An analysis of school absences in England during the Covid-19 pandemic. BMC Medicine.
Keeling, M.J., Hill, E.M., Gorsich, E.E., Penman, B., Guyver-Fletcher, G., Holmes, A., Leng, T., McKimm, H., Tamborrino, M., Dyson, L. and Tildesley, M.J., 2021. Predictions of COVID-19 dynamics in the UK: short-term forecasting and analysis of potential exit strategies. PLoS computational biology, 17(1), p.e1008619.
Leng, T. and Keeling, M.J., 2020. Improving pairwise approximations for network models with susceptible-infected-susceptible dynamics. Journal of Theoretical Biology, 500, p.110328.
Leng, T. and Keeling, M.J., 2018. Concurrency of partnerships, consistency with data, and control of sexually transmitted infections. Epidemics, 25, pp.35-46.
Leng, T., Leng, G. and MacGregor, D.J., 2017. Spike patterning in oxytocin neurons: Capturing physiological behaviour with Hodgkin-Huxley and integrate-and-fire models. PloS one, 12(7), p.e0180368.
Github
The underlying code for my COVID-19 research concerning secondary schools, social bubbles, and mobile contact-tracing is accessible via GitHub.
Blog posts About my research
Exiting lockdown - are social bubbles an effective strategy? - Trystan Leng, Wellcome Open Research Blog, 27/4/21
Testing testing in schools - Rachel Thomas, plus magazine, 4/3/21