Imperial College London

Gina Cuomo-Dannenburg MMath

Faculty of MedicineSchool of Public Health

Research Postgraduate



g.cuomo-dannenburg18 Website




G2747 Praed StreetSt Mary's Campus





I am a PhD Candidate within the Department for Infectious Disease Epidemiology. My research is focused on using mathematical modelling techniques to understand how anti-malarial resistance spreads. I specifically look at malaria prevention interventions in young children and potential strategies to increase the effective life-span of these measures.

I spent most of 2020 working as part of the Imperial College COVID-19 Response Team. In the early stage of the pandemic, I was responsible for collating all information on cases outside of mainline China. This data was used to understand what the symptoms of COVID-19 were, along with the earliest estimates of the case fatality ratio. I also participated in a number of research studies estimating the reproduction number, most notably in Vo' in Italy and also in South Korea. 

In 2020 I was awarded the Imperial College award for best graduate teaching assistant. Within the School of Public Health, I assist in delivering postgraduate modules as part of the Public Health, Epidemiology and Health Data Analytics masters programs. I teach courses about mathematical epidemiology, modelling of infectious diseases and mathematics for public health. 

Selected Publications

Journal Articles

Watson O, Alhaffar M, Mehchy Z, et al., 2021, Leveraging community mortality indicators to infer COVID-19 mortality and transmission dynamics in Damascus, Syria, Nature Communications, Vol:12, ISSN:2041-1723, Pages:1-10

Thompson H, Imai N, Dighe A, et al., 2020, SARS-CoV-2 infection prevalence on repatriation flights from Wuhan City, China, Journal of Travel Medicine, Vol:27, ISSN:1195-1982, Pages:1-3

Dighe A, Cattarino L, Cuomo-Dannenburg G, et al., 2020, Response to COVID-19 in South Korea and implications for lifting stringent interventions, BMC Medicine, Vol:18, ISSN:1741-7015, Pages:1-12

Hogan A, Jewell B, Sherrard-Smith E, et al., 2020, Potential impact of the COVID-19 pandemic on HIV, TB and malaria in low- and middle-income countries: a modelling study, The Lancet Global Health, Vol:8, ISSN:2214-109X, Pages:e1132-e1141

Lavezzo E, Franchin E, Ciavarella C, et al., 2020, Suppression of a SARS-CoV-2 outbreak in the Italian municipality of Vo', Nature, Vol:584, ISSN:0028-0836, Pages:425-429

Verity R, Okell LC, Dorigatti I, et al., 2020, Estimates of the severity of coronavirus disease 2019: a model-based analysis., Lancet Infectious Diseases, Vol:20, ISSN:1473-3099, Pages:669-677


Gaythorpe K, Bhatia S, Mangal T, et al., 2020, Report 37: Children’s role in the COVID-19 pandemic: a systematic review of early surveillance data on susceptibility, severity, and transmissibility

Ferguson N, Laydon D, Nedjati Gilani G, et al., 2020, Report 9: Impact of non-pharmaceutical interventions (NPIs) to reduce COVID19 mortality and healthcare demand

Gaythorpe K, Imai N, Cuomo-Dannenburg G, et al., 2020, Report 8: Symptom progression of COVID-19

Dorigatti I, Okell L, Cori A, et al., 2020, Report 4: Severity of 2019-novel coronavirus (nCoV)

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