2021

(2021) Predicted impact of COVID-19 on neglected tropical disease programs and the opportunity for innovation. Clinical Infectious Diseases, 72 (8). pp. 1463-1466. doi:10.1093/cid/ciaa933

2020

Touloupou, Panayiota, Finkenstädt, Bärbel, Besser, Thomas E., French, Nigel P. and Spencer, Simon E. F. (2020) Bayesian inference for multi-strain epidemics with application to Escherichia coli O157 : H7 in feedlot cattle. The Annals of Applied Statistics, 14 (4). pp. 1925-1944. doi:10.1214/20-AOAS1366

Touloupou, Panayiota, Retkute, Renata, Hollingsworth, T. Déirdre and Spencer, Simon E. F. (2020) Statistical methods for linking geostatistical maps and transmission models : application to lymphatic filariasis in East Africa. Spatial and Spatio-temporal Epidemiology . 100391. doi:10.1016/j.sste.2020.100391 (In Press)

Prada, Joaquín M., Davis, Emma L., Touloupou, Panayiota, Stolk, Wilma A., Kontoroupis, Periklis, Smith, Morgan E., Sharma, Swarnali, Michael, Edwin, de Vlas, Sake J. and Hollingsworth, T. Déirdre (2020) Elimination or resurgence : modelling lymphatic filariasis after reaching the 1% microfilaremia prevalence threshold. The Journal of Infectious Diseases, 221 (Supplement_5). S503-S509. doi:10.1093/infdis/jiz647

Touloupou, Panayiota, Finkenstädt, Bärbel and Spencer, Simon E. F. (2020) Scalable Bayesian inference for coupled hidden Markov and semi-Markov models. Journal of Computational and Graphical Statistics, 29 (2). 238-249 . doi:10.1080/10618600.2019.1654880

2019

Touloupou, Panayiota, Finkenstädt, Bärbel and Spencer, Simon E. F. (2019) Data for Scalable Bayesian inference for coupled hidden Markov and semi-Markov models. [Dataset]

2018

Walker, Martin, Michael, Edwin, Sharma, Swarnali, Smith, Morgan E., Touloupou, Panayiota, Giardina, Federica, Prada, Joaquin M., Stolk, Wilma A., Hollingsworth, Deirdre and de Vlas, Sake J. (2018) Quantifying the value of surveillance data for improving model predictions of lymphatic filariasis elimination. PLoS Neglected Tropical Diseases, 12 (10). e0006674. doi:10.1371/journal.pntd.0006674

Stolk, Wilma A., Prada, Joaquín M., Smith, Morgan E., Kontoroupis, Periklis, de Vos, Anneke S., Touloupou, Panayiota, Irvine, Michael A., Brown, Paul E., Subramanian, Swaminathan, Kloek, Marielle, Michael, E., Hollingsworth, T. Déirdre and de Vlas, Sake J. (2018) Are alternative strategies required to accelerate the global elimination of lymphatic filariasis? Insights from mathematical models. Clinical Infectious Diseases, 66 (suppl_4). S260-S266. doi:10.1093/cid/ciy003

Alzahrani, Naif, Neal, Peter, Spencer, Simon E. F., McKinley, Trevelyan J. and Touloupou, Panayiota (2018) Model selection for time series of count data. Computational Statistics & Data Analysis, 122 . pp. 33-44. doi:10.1016/j.csda.2018.01.002

Prada, Joaquín M., Touloupou, Panayiota, Adriko, Moses, Tukahebwa, Edridah M., Lamberton, Poppy H. L. and Hollingsworth, T. Déirdre (2018) Understanding the relationship between egg- and antigen-based diagnostics of Schistosoma mansoni infection pre- and post-treatment in Uganda. Parasites & Vectors, 11 (21). doi:10.1186/s13071-017-2580-z

Touloupou, Panayiota, Alzahrani, Naif, Neal, Peter, Spencer, Simon E. F. and McKinley, Trevelyan J. (2018) Efficient model comparison techniques for models requiring large scale data augmentation. Bayesian Analysis, 13 (2). pp. 437-459. doi:10.1214/17-BA1057

2016

Touloupou, Panayiota (2016) Bayesian inference and model selection for partially observed stochastic epidemics. PhD thesis, University of Warwick.