Publications

Compartmental models

Lee, T. E., Bonhoeffer, S., & Penny, M. A. (2022) The competition dynamics of resistant and sensitive infections. Epidemiological Modelling, Results in Physics. 34, 105181. Here.

Lee, T. E. & Penny, M. A (2018). Identifying key factors of the transmission dynamics of drug-resistant malaria. Journal of Theoretical Biology, 462, 210-220. Early version here (minorly different to final version)

Agent-based models

Masserey T., Lee T. E, Kelly S. L., Hastings I. M., & Penny M. A. (2023). Seasonal malaria chemoprevention and the spread of Plasmodium falciparum quintuple mutant parasites resistant to sulfadoxine-pyrimethamine: a modelling study. The Lancet Microbe, Volume 5, Issue 9, 100892.

Masserey T, Lee T, E, Golumbeanu M, Shattock A.J, Kelly S.L, Hastings I.M, Penny M.A. (2022)  The influence of biological, epidemiological, and treatment factors on the establishment and spread of drug-resistant Plasmodium falciparum. Elife. 11:e7763. DOI: 10.7554/eLife.77634

Lee, T. E. (2018). The thin blue line between protesters and their counter-protesters. Journal of Artificial Societies and Social Simulation, 21(2), 10.

Poghosyan, A., Greetham, D. V., Haben, S., & T. E. Lee (2015). Long term individual load forecast under different electrical vehicles uptake scenarios. Applied Energy. 157, 699-709.

Spatiotemporal models

Lee T. E. (2022). A mechanistic spatiotemporal model for drug resistant infections. bioRxiv, 2022-03.

Game theory

Glynatsi, N. E., Knight, V., & Lee, T. E. (2018). An evolutionary game theoretic model of rhino horn devaluation. Ecological Modelling, 389, 33-40.

T. E. Lee & Roberts, D. L. (2016). Devaluing rhinos as a theoretical game. Ecological modelling, 337, 73-78.

Fluid flow

T. E. Lee, Baines, M. J. & Langdon, S. (2015) A finite difference moving mesh method based on conservation for moving boundary problems. Journal of Computational and Applied Mathematics, 288, 1-17.

Baines, M. J. & T. E. Lee (2014). A large time-step implicit moving mesh scheme for moving boundary problems. Numerical Methods for Partial Differential Equations, 30(1), 321-338.

Lee, T. E., Baines, M. J., & Langdon, S. (2015). A finite difference moving mesh method based on conservation for moving boundary problems. Journal of Computational and Applied Mathematics, 288, 1-17.

T. E. Lee, Baines, M. J., Langdon, S., & Tindall, M. J. (2013). A moving mesh approach for modelling avascular tumour growth. Applied Numerical Mathematics, 72, 99-114.

T. E. Lee (2011) Modelling time-dependent partial differential equations using a moving mesh approach based on conservation. Phd thesis. Here

T. E. Lee (2007) New methods for approximating acoustic wave transmission through ducts. MSc thesis.

Miscellaneous mathematical modelling

Camponovo, F., Lee, T. E., Russel, J,. Burgert, L., Gerardin, J., & Penny, M. A. (2021) Mechanistic within-host models of the asexual Plasmodium falciparum infection: a review and analytical assessment. Malaria Journal, 20, 309.

Thompson*, C. J., T. E. Lee, & McCarthy, M. A. (2014). Species distributions and area relationships. Journal of theoretical biology, 363, 129-133.

T. E. Lee (2005) Fourier Analysis and Wavelets. BSc Hons thesis.

Network analysis

Grindrod, P. & T. E. Lee (2016). Comparison of social structures within cities of very different sizes. Royal Society open science, 3(2), 150526.

Grindrod, P., & T. E. Lee (2017). On strongly connected networks with excitable-refractory dynamics and delayed coupling. Royal Society Open Science, 4, 160192. Here.

Hinsley, A., T. E. Lee & Roberts, D. L. (2016). Estimating the extent and structure of trade in horticultural orchids via social media. Conservation biology, 30(5), 1038-1047.

Bayesian models

Southgate, R., T. E. Lee, Markopoulos, N., Florance, B., & Masters, P. (2021). Eradication of feral goats Capra hircus from Kangaroo Island: estimating the probability of persistence from multiple lines of evidence. Restoration Ecology, e13553.

Clements, C., T. E. Lee, & McCarthy, M. A. (2014). An experimental test of a Bayesian method for inferring extinction with varying search efforts (No. e466v1). PeerJ PrePrints.

T. E. Lee (2014). A simple numerical tool to infer whether a species is extinct. Methods in Ecology and Evolution, 5(8), 791-796.

T. E. Lee, McCarthy, M. A., Wintle, B. A., Bode, M., Roberts, D. L., & Burgman, M. A. (2014). Inferring extinctions from sighting records of variable reliability. Journal of Applied Ecology, 51(1), 251-258.

Thompson*, C. J., T. E. Lee, Stone, L., Burgman, M. A. & McCarthy, M. (2013). Inferring extinction risks from sighting records. Journal of Theoretical Biology, 338, 16-22.

Opinion pooling

T. E. Lee, Black, S. A., Fellous, A., Yamaguchi, N., Angelici, F., Al Hikmani, H., Reed, J. M., Elphick, C. S & Roberts, D. L. (2015). Assessing uncertainty in sighting records: an example of the Barbary lion. PeerJ, 3, e1224.

T. E. Lee., Bowman, C., & Roberts, D. L. (2017). Are extinction opinions extinct?. PeerJ, 5, e3663.

Clustering (unsupervised machine learning)

Masserey T, Penny M. A, T. E. Lee. (2022) Patient variability in the blood-stage dynamics of Plasmodium falciparum captured by clustering historical data. Malaria Journal. 21:300. DOI: 10.1186/s12936-022-04317-0

T. E. Lee., & Roberts, D. L. (2020). Moving beyond simple descriptive statistics in the analysis of online wildlife trade: an example from clustering and ordination. Tropical Conservation Science, 13, 1940082920958401.

T. E. Lee, Haben, S. A. & Grindrod, P. (2014). Modelling the weekly electricity consumption of small to medium enterprises. Progress in Industrial Mathematics at ECMI 2014. ISBN 978-3-319-23412-0.

Optimisation

Giasemidis, G., Haben, S., T. E. Lee, & Singleton, C. (2017). A genetic algorithm approach for modelling low voltage network demands. Applied Energy, 203, 463-473.

T. E. Lee (2016). Predicting key features of a substation without monitoring, Emerging Energy Technologies Summit and Exhibition 2016 (EETSE’16).

Lee, T. E. (2017). Predicting key features of a substation without monitoring. Mathematics-in-Industry Case Studies, 8(1), 3

Time-series forecasting

T. E. Lee (2016). Medium term forecasts of domestic electricity use. Tokyo International Conference on Engineering and Applied Sciences, ISBN:978-986-93421-2-4.

Yunusov, T., Haben, S., T. E. Lee, Ziel, F., Holderbaum, W., & Potter, B. (2017) Evaluating the Effectiveness of Storage Control in Reducing Peak Demand on Low Voltage Feeders. Cired 2017, Research Innovation Forum Glasgow, 626.

Survival analysis

T. E. Lee, Fisher, D., Blomberg, S. & Wintle, B. (2016). Extinct or still out there? Disentangling influences on extinction and rediscovery helps to clarify the fate of species on the edge. Global change biology. DOI: 10.1111/gcb.13421. Here.

*These two methods based papers are joint first author publications since Colin Thompson does not use computers.