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. Hogan, A. et al. (2020) “Potential impact of the COVID-19 pandemic on HIV, tuberculosis, and malaria in low-income and middle-income countries: a modelling study”, The Lancet Global Health, 8(9), pp. e1132 - e1141. Chan, A.-W. et al. (2020) “Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI extension”, Nature Medicine, 26(9), pp. 1364–1374. Riley, S. et al. (2020) “REal-time Assessment of Community Transmission (REACT) of SARS-CoV-2 virus: Study protocol”, Wellcome Open Research, 5, p. 200. Carrera, J.-P. et al. (2020) “Clinical and serological findings of Madariaga and Venezuelan equine encephalitis viral infections: a follow-up study five years after an outbreak in Panama”, Open Forum Infectious Diseases, 7(9). Lavezzo, E. et al. (2020) “Suppression of a SARS-CoV-2 outbreak in the Italian municipality of Vo’”, Nature, 584(7821), pp. 425–429. Ward, H. et al. (2020) “Antibody prevalence for SARS-CoV-2 following the peak of the pandemic in England: REACT2 study in 100,000 adults”, p. 2020.08.12.20173690. Flaxman, S. et al. (2020) “Estimating the effects of non-pharmaceutical interventions on COVID-19 in Europe”, Nature, 584(7820), pp. 257–261. Thompson, R. et al. (2020) “Key questions for modelling COVID-19 exit strategies”, Proceedings of the Royal Society B: Biological Sciences, 287(1932). Investigators, R. et al. (2020) “Transient dynamics of SARS-CoV-2 as England exited national lockdown”, p. 2020.08.05.20169078. Gibb, R. et al. (2020) “Zoonotic host diversity increases in human-dominated ecosystems”, Nature, 584(7821), pp. 398–402. Previous page ‹‹ … Page 39 Page 40 Page 41 Page 42 Current page 43 Page 44 Page 45 Page 46 Page 47 … Next page ››