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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.

Gold, S. et al. (2021) “Modelling the influence of naturally acquired immunity from subclinical infection on outbreak dynamics and persistence of rabies in domestic dogs”, PLoS Neglected Tropical Diseases, 15(7).
Hillis, S. et al. (2021) “Under the radar: global minimum estimates for COVID-19-associated orphanhood and deaths among caregivers”, Lancet, 398(10298), pp. 391–402.
Dorigatti, I. et al. (2021) “SARS-CoV-2 antibody dynamics and transmission from community-wide serological testing in the Italian municipality of Vo’”, Nature Communications, 12.
Ward, H. et al. (2021) “Vaccine uptake and SARS-CoV-2 antibody prevalence among 207,337 adults during May 2021 in England: REACT-2 study”, p. 2021.07.14.21260497.
Watson, J. et al. (2021) “Improving statistical power in severe malaria genetic association studies by augmenting phenotypic precision”, eLife, 10.
Charniga, K. et al. (2021) “Spatial and temporal invasion dynamics of the 2014–2017 Zika and chikungunya epidemics in Colombia”, PLOS Computational Biology, 17(7), p. e1009174.
Leroi, A. et al. (2021) “Neutral Theory is a tool that should be wielded with care.”, Nature human behaviour, 5(7), p. 809.
Hillis, S. et al. (2021) “Global minimum estimates of children affected by COVID-19-associated orphanhood and deaths of caregivers: a modelling study.”, Lancet (London, England), 398(10298), pp. 391–402.
Winskill, P. et al. (2021) “Health inequities and clustering of fever, acute respiratory infection, diarrhoea and wasting in children under five in low- and middle-income countries: a Demographic and Health Surveys analysis”, BMC Medicine, 19.
Knock, E. et al. (2021) “Key epidemiological drivers and impact of interventions in the 2020 SARS-CoV-2 epidemic in England”, Science Translational Medicine, 13(602).