Imperial College London

Helen Coupland

Faculty of MedicineSchool of Public Health

Research Postgraduate







G29Medical SchoolSt Mary's Campus





I am a research postgraduate working alongside Samir Bhatt, Seth Flaxman, Juliette Unwin and Swapnil Mishra. The focus of my PhD is coming up with new ways of applying deep learning approaches to life course data. I work in collaboration with Naja Hulvej Rod in the Public Health Department at the Univeristy of Copenhagen. The main aim of this project is to be able to assess the relative importance of different risk factors for respiratory track infections and identify societal interventions to reduce the population-level incidence.



Silhol R, Coupland H, Baggaley R, et al., 2021, What is the burden of heterosexually-acquired HIV due to HSV-2? Global and regional model-based estimates of the proportion and number of HIV infections attributable to HSV-2 infection, Jaids: Journal of Acquired Immune Deficiency Syndromes, Vol:88, ISSN:1525-4135, Pages:19-30

Mishra S, Scott JA, Laydon DJ, et al., 2021, Comparing the responses of the UK, Sweden and Denmark to COVID-19 using counterfactual modelling, Scientific Reports, Vol:11, ISSN:2045-2322, Pages:1-9

Faria NR, Mellan TA, Whittaker C, et al., 2021, Genomics and epidemiology of the P.1 SARS-CoV-2 lineage in Manaus, Brazil, Science, Vol:372, ISSN:0036-8075, Pages:815-821

Nouvellet P, Bhatia S, Cori A, et al., 2021, Reduction in mobility and COVID-19 transmission, Nature Communications, Vol:12, ISSN:2041-1723

Fu H, Wang H, Xi X, et al., 2021, A database for the epidemic trends and control measures during the first wave of COVID-19 in mainland China, International Journal of Infectious Diseases, Vol:102, ISSN:1201-9712, Pages:463-471

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