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.

Enticott, G. et al. (2019) “An assessment of risk compensation and spillover behavioural adaptions associated with the use of vaccines in animal disease management”, Vaccine, 38(5), pp. 1065–1075.

Parag, K. and Donnelly, C. (2019) “Optimising Renewal Models for Real-Time Epidemic Prediction and Estimation”, p. 835181.

Fawsitt, C. et al. (2019) “Cost-effectiveness analysis of baseline testing for resistance-associated polymorphisms to optimize treatment outcome in genotype 1 noncirrhotic treatment-naïve patients with chronic hepatitis C virus”, Value in Health, 23(2), pp. 180–190.

Downs, S. et al. (2019) “Assessing effects from four years of industry-led badger culling in England on the incidence of bovine tuberculosis in cattle, 2013–2017”, Scientific Reports, 9.

Ham, C. et al. (2019) “Effect of culling on individual badger (Meles meles) behaviour: potential implications for Bovine Tuberculosis transmission”, Journal of Applied Ecology, 56(11), pp. 2390–2399.

Liu, X. et al. (2019) “Reporting guidelines for clinical trials evaluating artificial intelligence interventions are needed”, Nature Medicine, 25(10), pp. 1467–1468.

Glaire, M. et al. (2019) “Correction: Tumour-infiltrating CD8+ lymphocytes and colorectal cancer recurrence by tumour and nodal stage”, British Journal of Cancer, 121(9), pp. 807–807.

Eneanya, O. et al. (2019) “Mapping the baseline prevalence of lymphatic filariasis across Nigeria”, Parasites and Vectors, 12, p. Article number: 440.

Raveane, A. et al. (2019) “Population structure of modern-day Italians reveals patterns of ancient and archaic ancestries in Southern Europe”, Science Advances, 5(9).

Ansari, M. et al. (2019) “Interferon lambda 4 impacts the genetic diversity of hepatitis C virus”, eLife, 8(2019).