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Dr Emilia Vynnycky

BA MSc PhD

Associate Professor

LSHTM
Keppel Street
London
WC1E 7HT
United Kingdom

Tel.
02072994626

Emilia is employed by Public Health England and has a part-time position at LSHTM.

Affiliations

Faculty of Epidemiology and Population Health
Department of Infectious Disease Epidemiology

Centres

Centre for the Mathematical Modelling of Infectious Diseases (CMMID)
TB Centre
Vaccine Centre

Teaching

Emilia co-organises the LSHTM Infectious Disease Modelling summer short course and MSc Module with Richard White, Nicky McCreesh and Sophie Rhodes(LSHTM).

Research

Emilia works on modelling infectious diseases, focussing on tuberculosis and rubella, and has previous experience of modelling influenza.

Research Area
Disease control
Modelling
Discipline
Immunoepidemiology
Epidemiology
Mathematics
Disease and Health Conditions
Tuberculosis
Region
World

Selected Publications

Vaccine equity in low and middle income countries: a systematic review and meta-analysis.
Ali HA; Hartner A-M; Echeverria-Londono S; Roth J; Li X; Abbas K; Portnoy A; Vynnycky E; Woodruff K; Ferguson NM
2022
International Journal for Equity in Health
Feasibility of measles and rubella vaccination programmes for disease elimination: a modelling study
Winter AK; Lambert B; Klein D; Klepac P; Papadopoulos T; Truelove S; Burgess C; Santos H; Knapp JK; Reef SE
2022
The Lancet Global Health
The impact of testing and infection prevention and control strategies on within-hospital transmission dynamics of COVID-19 in English hospitals.
Evans S; Agnew E; Vynnycky E; Stimson J; Bhattacharya A; Rooney C; Warne B; Robotham J
2021
Philosophical transactions of the Royal Society of London. Series B, Biological sciences
Estimating the health impact of vaccination against ten pathogens in 98 low-income and middle-income countries from 2000 to 2030: a modelling study.
Li X; Mukandavire C; Cucunubá ZM; Echeverria Londono S; Abbas K; Clapham HE; Jit M; Johnson HL; Papadopoulos T; Vynnycky E
2021
The Lancet
Lives saved with vaccination for 10 pathogens across 112 countries in a pre-COVID-19 world.
Toor J; Echeverria-Londono S; Li X; Abbas K; Carter ED; Clapham HE; Clark A; de Villiers MJ; Eilertson K; Ferrari M
2021
eLife
Augmenting contact matrices with time-use data for fine-grained intervention modelling of disease dynamics: A modelling analysis.
van Leeuwen E; PHE Joint modelling group; Sandmann F
2021
Statistical methods in medical research
Transmission dynamics and control measures of COVID-19 outbreak in China: a modelling study.
Zhang X-S; Vynnycky E; Charlett A; De Angelis D; Chen Z; Liu W
2021
Scientific reports
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