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Model-based evaluation of admission screening strategies for the detection and control of carbapenemase-producing Enterobacterales in the English hospital setting (2023)
Journal Article
Pople, D., Kypraios, T., Donker, T., Stoesser, N., Seale, A. C., George, R., …Robotham, J. (2023). Model-based evaluation of admission screening strategies for the detection and control of carbapenemase-producing Enterobacterales in the English hospital setting. BMC Medicine, 21(1), Article 492. https://doi.org/10.1186/s12916-023-03007-1

Background Globally, detections of carbapenemase-producing Enterobacterales (CPE) colonisations and infections are increasing. The spread of these highly resistant bacteria poses a serious threat to public health. However, understanding of CPE trans... Read More about Model-based evaluation of admission screening strategies for the detection and control of carbapenemase-producing Enterobacterales in the English hospital setting.

Accelerating Bayesian inference for stochastic epidemic models using incidence data (2023)
Journal Article
Golightly, A., Wadkin, L. E., Whitaker, S. A., Baggaley, A. W., Parker, N. G., & Kypraios, T. (2023). Accelerating Bayesian inference for stochastic epidemic models using incidence data. Statistics and Computing, 33(6), Article 134. https://doi.org/10.1007/s11222-023-10311-6

We consider the case of performing Bayesian inference for stochastic epidemic compartment models, using incomplete time course data consisting of incidence counts that are either the number of new infections or removals in time intervals of fixed len... Read More about Accelerating Bayesian inference for stochastic epidemic models using incidence data.

Bayesian Model Choice for Directional Data (2023)
Journal Article
Fallaize, C. J., & Kypraios, T. (2024). Bayesian Model Choice for Directional Data. Journal of Computational and Graphical Statistics, 33(1), 25-34. https://doi.org/10.1080/10618600.2023.2206076

This article is concerned with the problem of choosing between competing models for directional data. In particular, we consider the question of whether or not two independent samples of axial data come from the same Bingham distribution. This is not... Read More about Bayesian Model Choice for Directional Data.

A multistate modeling approach to investigate long-term effects of claw horn disruption lesions and early lesion development in dairy cows (2023)
Journal Article
Thomas, M., Green, M., Kypraios, T., & Kaler, J. (2023). A multistate modeling approach to investigate long-term effects of claw horn disruption lesions and early lesion development in dairy cows. Journal of Dairy Science, https://doi.org/10.3168/jds.2021-21749

Claw horn disruption lesions (CHDL) are a leading cause of lameness in dairy cattle, and the development, effect, and pathology of these lesions remains an open area of interest within dairy cattle health. Current literature typically attempts to mea... Read More about A multistate modeling approach to investigate long-term effects of claw horn disruption lesions and early lesion development in dairy cows.

Comparative Judgement Modeling to Map Forced Marriage at Local Levels (2023)
Working Paper
Seymour, R., Nyarko-Agyei, A., Severn, K., McCabe, H., Kypraios, T., Sirl, D., & Taylor, A. Comparative Judgement Modeling to Map Forced Marriage at Local Levels

Forcing someone into marriage against their will is a violation of their human rights. In 2021, the county of Nottinghamshire, UK, launched a strategy to tackle forced marriage and violence against women and girls. However, accessing information abou... Read More about Comparative Judgement Modeling to Map Forced Marriage at Local Levels.

Posterior Predictive Checking for Partially Observed Stochastic Epidemic Models (2022)
Journal Article
Aristotelous, G., Kypraios, T., & O'Neill, P. D. (2023). Posterior Predictive Checking for Partially Observed Stochastic Epidemic Models. Bayesian Analysis, 18(4), 1283-1310. https://doi.org/10.1214/22-ba1336

We address the problem of assessing the fit of stochastic epidemic models to data. Two novel model assessment methods are developed, based on disease progression curves, namely the distance method and the position-time method. The methods are illustr... Read More about Posterior Predictive Checking for Partially Observed Stochastic Epidemic Models.

Antimicrobial resistance in dairy slurry tanks: a critical point for measurement and control (2022)
Journal Article
Baker, M., Williams, A. D., Hooton, S. P., Helliwell, R., King, E., Dodsworth, T., …Stekel, D. J. (2022). Antimicrobial resistance in dairy slurry tanks: a critical point for measurement and control. Environment International, 169, Article 107516. https://doi.org/10.1016/j.envint.2022.107516

Waste from dairy production is one of the largest sources of contamination from antimicrobial resistant bacteria (ARB) and genes (ARGs) in many parts of the world. However, studies to date do not provide necessary evidence to inform antimicrobial res... Read More about Antimicrobial resistance in dairy slurry tanks: a critical point for measurement and control.

Bayesian nonparametric inference for heterogeneously mixing infectious disease models (2022)
Journal Article
Seymour, R. G., Kypraios, T., & O'Neill, P. D. (2022). Bayesian nonparametric inference for heterogeneously mixing infectious disease models. Proceedings of the National Academy of Sciences, 119(10), Article e2118425119. https://doi.org/10.1073/pnas.2118425119

Infectious disease transmissionmodels require assumptions about how the pathogen spreads between individuals. These assumptions may be somewhat arbitrary, particularly when it comes to describing how transmission varies between individuals of differe... Read More about Bayesian nonparametric inference for heterogeneously mixing infectious disease models.

A Bayesian nonparametric analysis of the 2003 outbreak of highly pathogenic avian influenza in the Netherlands (2021)
Journal Article
Seymour, R. G., Kypraios, T., O’Neill, P. D., & Hagenaars, T. J. (2021). A Bayesian nonparametric analysis of the 2003 outbreak of highly pathogenic avian influenza in the Netherlands. Journal of the Royal Statistical Society: Series C, 70(5), 1323-1343. https://doi.org/10.1111/rssc.12515

Infectious diseases on farms pose both public and animal health risks, so understanding how they spread between farms is crucial for developing disease control strategies to prevent future outbreaks. We develop novel Bayesian nonparametric methodolog... Read More about A Bayesian nonparametric analysis of the 2003 outbreak of highly pathogenic avian influenza in the Netherlands.

Mid-infrared spectral classification of endometrial cancer compared to benign controls in serum or plasma samples (2021)
Journal Article
Mabwa, D., Gajjar, K., Furniss, D., Schiemer, R., Crane, R., Fallaize, C., …Phang, S. (2021). Mid-infrared spectral classification of endometrial cancer compared to benign controls in serum or plasma samples. Analyst, 146(18), 5631-5642. https://doi.org/10.1039/D1AN00833A

This study demonstrates a discrimination of endometrial cancer versus (non-cancerous) benign controls based on mid-infrared (MIR) spectroscopy of dried plasma or serum liquid samples. A detailed evaluation was performed of four discriminant methods (... Read More about Mid-infrared spectral classification of endometrial cancer compared to benign controls in serum or plasma samples.

Predator size affects the intensity of mutual interference in a predatory mirid (2020)
Journal Article
Papanikolaou, N. E., Dervisoglou, S., Fantinou, A., Kypraios, T., Giakoumaki, V., & Perdikis, D. (2020). Predator size affects the intensity of mutual interference in a predatory mirid. Ecology and Evolution, 11(3), 1342-1351. https://doi.org/10.1002/ece3.7137

1. Interference competition occurs when access to an available resource is negatively affected by interactions with other individuals, where mutual interference involves individuals of the same species. The interactive phenomena among individuals may... Read More about Predator size affects the intensity of mutual interference in a predatory mirid.

The spatial percept of tinnitus is associated with hearing asymmetry: subgroup comparisons (2020)
Working Paper
Genitsaridi, E., Kypraios, T., Edvall, N. K., Trpchevska, N., Canlon, B., Hoare, D. J., …Hall, D. A. The spatial percept of tinnitus is associated with hearing asymmetry: subgroup comparisons

The spatial percept of tinnitus is hypothesized as an important variable for tinnitus subtyping. Hearing asymmetry often associates with tinnitus laterality, but not always. One of the methodological limitations for cross-study comparisons is how the... Read More about The spatial percept of tinnitus is associated with hearing asymmetry: subgroup comparisons.

Modelling, Bayesian inference, and model assessment for nosocomial pathogens using whole?genome?sequence data (2020)
Journal Article
Cassidy, R., Kypraios, T., & O'Neill, P. D. (2020). Modelling, Bayesian inference, and model assessment for nosocomial pathogens using whole?genome?sequence data. Statistics in Medicine, 39(12), 1746-1765. https://doi.org/10.1002/sim.8510

Whole genome sequencing of pathogens in outbreaks of infectious disease provides the potential to reconstruct transmission pathways and enhance the information contained in conventional epidemiological data. In recent years there have been numerous n... Read More about Modelling, Bayesian inference, and model assessment for nosocomial pathogens using whole?genome?sequence data.

Pair-based likelihood approximations for stochastic epidemic models (2019)
Journal Article
Stockdale, J. E., Kypraios, T., & O'Neill, P. D. (2021). Pair-based likelihood approximations for stochastic epidemic models. Biostatistics, 22(3), 575-597. https://doi.org/10.1093/biostatistics/kxz053

Fitting stochastic epidemic models to data is a non-standard problem because data on the infection processes defined in such models are rarely observed directly. This in turn means that the likelihood of the observed data is intractable in the sense... Read More about Pair-based likelihood approximations for stochastic epidemic models.

A statistical view on calcium oscillations (2019)
Journal Article
Powell, J., Falcke, M., Skupin, A., Bellamy, T., Kypraios, T., & Thul, R. (2019). A statistical view on calcium oscillations. Advances in Experimental Medicine and Biology, 1131, 799-826. https://doi.org/10.1007/978-3-030-12457-1_32

Transient rises and falls of the intracellular calcium concentration have been observed in numerous cell types and under a plethora of conditions. There is now a growing body of evidence that these whole-cell calcium oscillations are stochastic, whic... Read More about A statistical view on calcium oscillations.

An Integrated Pipeline for Combining in vitro Data and Mathematical Models Using a Bayesian Parameter Inference Approach to Characterize Spatio-temporal Chemokine Gradient Formation (2019)
Journal Article
Kalogiros, D. I., Russell, M., Bonneuil, W., Frattolin, J., Watson, D., Moore Jr, J. E., …Brook, B. S. (2019). An Integrated Pipeline for Combining in vitro Data and Mathematical Models Using a Bayesian Parameter Inference Approach to Characterize Spatio-temporal Chemokine Gradient Formation. Frontiers in Immunology, 10, Article 1986. https://doi.org/10.3389/fimmu.2019.01986

All protective and pathogenic immune and inflammatory responses rely heavily on leukocyte migration and localization. Chemokines are secreted chemoattractants that orchestrate the positioning and migration of leukocytes through concentration gradient... Read More about An Integrated Pipeline for Combining in vitro Data and Mathematical Models Using a Bayesian Parameter Inference Approach to Characterize Spatio-temporal Chemokine Gradient Formation.

A comparative study of estimation methods in quantum tomography (2019)
Journal Article
Acharya, A., Kypraios, T., & Guta, M. (2019). A comparative study of estimation methods in quantum tomography. Journal of Physics A: Mathematical and Theoretical, 52(23), 1-36. https://doi.org/10.1088/1751-8121/ab1958

As quantum tomography is becoming a key component of the quantum engineering toolbox, there is a need for a deeper understanding of the multitude of estimation methods available. Here we investigate and compare several such methods: maximum likelihoo... Read More about A comparative study of estimation methods in quantum tomography.

Standardised profiling for tinnitus research: the European School for Interdisciplinary Tinnitus Research Screening Questionnaire (ESIT-SQ) (2019)
Journal Article
Genitsaridi, E., Partyka, M., Gallus, S., Lopez-Escamez, J. A., Schecklmann, M., Mielczarek, M., …Hall, D. A. (2019). Standardised profiling for tinnitus research: the European School for Interdisciplinary Tinnitus Research Screening Questionnaire (ESIT-SQ). Hearing Research, 377, 353-359. https://doi.org/10.1016/j.heares.2019.02.017

Background The heterogeneity of tinnitus is substantial. Its numerous pathophysiological mechanisms and clinical manifestations have hampered fundamental and treatment research significantly. A decade ago, the Tinnitus Research Initiative introduced... Read More about Standardised profiling for tinnitus research: the European School for Interdisciplinary Tinnitus Research Screening Questionnaire (ESIT-SQ).

Bayes Factors for Partially Observed Stochastic Epidemic Models (2018)
Journal Article
Alharthi, M., Kypraios, T., & O'Neill, P. D. (2019). Bayes Factors for Partially Observed Stochastic Epidemic Models. Bayesian Analysis, 14(3), 927-956. https://doi.org/10.1214/18-BA1134

We consider the problem of model choice for stochastic epidemic models given partial observation of a disease outbreak through time. Our main focus is on the use of Bayes factors. Although Bayes factors have appeared in the epidemic modelling literat... Read More about Bayes Factors for Partially Observed Stochastic Epidemic Models.