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Mr Alexis Robert

BSc MSc

Research Degree Student

Room
LG22

LSHTM
Keppel Street
London
WC1E 7HT
United Kingdom

Tel.
02079588171

I am a mathematical modeller in epidemiology, I joined the school as a research assistant in September 2016 and started a PhD in October 2017. My work focuses on developing models to understand the mechanisms responsible for disease spread in diverse settings. 

Before joining the School, I completed two Master’s degrees in 2016: one in Bioinformatics and Modelling at INSA de Lyon and another in Public Health at Lyon 1 University. I previously worked in the Mathematical Modelling of Infectious Disease Team at the Institut Pasteur on Dengue transmission in New Caledonia.

I am currently affiliated with the Centre for the Mathematical Modelling of Infectious Diseases at the London School and funded on the MRC London Intercollegiate Doctoral Training Partnership Studentships.

Affiliations

Department of Infectious Disease Epidemiology
Faculty of Epidemiology and Population Health

Centres

Centre for the Mathematical Modelling of Infectious Diseases (CMMID)

Research

My PhD project focuses on Measles transmission in the United Kingdom. More specifically, I study the influence of spatial heterogeneity in vaccine uptake on the spread of Measles. I also use reconstruction tree methods to analyse previous outbreaks in England and Wales.

My previous projects aimed to analyse data from the Ebola ring vaccine Trial in Guinea set during the 2013-2016 Ebola outbreak in West Africa. I also worked on analysiing previous Ebola outbreaks in sub-Saharan Africa in order to disentangle the role of healthcare workers in the transmission dynamics.

Research Area
Public health
Statistical methods
Vaccines
Bayesian Analysis
Disease control
Outbreaks
Modelling
Discipline
Epidemiology
Mathematical modelling
Statistics
Bioinformatics
Disease and Health Conditions
Measles
Country
United Kingdom

Selected Publications

Lessons from New Zealand's COVID-19 outbreak response.
Robert A
2020
The Lancet Public Health
Probabilistic reconstruction of measles transmission clusters from routinely collected surveillance data.
Robert A; Kucharski AJ; Gastañaduy PA; Paul P; Funk S
2020
Journal of the Royal Society, Interface
A39 Reconstruction of Ebola chains of transmission using sequence and epidemiological data
Robert A; Edmunds J; Eggo R; Henao-Restrepo A-M; Gsell P-S; Watson CH; Longini IM; Rambaut A; Camacho A; Hué S
2019
Virus Evolution
Determinants of Transmission Risk During the Late Stage of the West African Ebola Epidemic.
Robert A; Edmunds WJ; Watson CH; Henao-Restrepo AM; Gsell P-S; Williamson E; Longini IM; Sakoba K; Kucharski AJ; Touré A
2019
American Journal of Epidemiology
The measles crisis in Europe-the need for a joined-up approach.
Robert A; Funk S; Kucharski AJ
2019
The Lancet
See more Publications