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Dr Anton Camacho

PhD

Assistant Professor

Room
107

LSHTM
Keppel Street
London
WC1E 7HT
United Kingdom

Tel.
+44 (0)20 7927 2407

I am a mathematical modeller in epidemiology. My work involves the development and the analysis of mathematical models to investigate the mechanisms underlying the epidemiological dynamics of infectious diseases.

I am currently funded by an MRC Career Development Award in Biostatistics, and I am affiliated with the Centre for the Mathematical Modelling of Infectious Diseases at the London School.

I completed my PhD in Mathematical Biology in 2011, under the supervision of Bernard Cazelles and Amaury Lambert at the Eco-Evolutionary Mathematics lab in Paris. I contributed to the field of theoretical approaches to understand the epidemiology, immunolgy and evolution of influenza.
More broadly, I am interested in interdisciplinary research, at the edge of mathematics, biology and computer sciences, in order to address public-health issues.

Affiliations

Faculty of Epidemiology and Population Health
Department of Infectious Disease Epidemiology

Teaching

I am taking part in the two Modelling courses run by the CMMID within the MSc Programmes offered by the School. I am also co-organizer of the Distance Learning Modelling module.

Research

Currently, my research aims to improve our understanding of what governs the size and severity of seasonal influenza epidemics. This is a key public health priority for the design of effective intervention strategies, like vaccination.

From a statistical perspective, I am fitting mechanistic models to the many different and varied surveillance data available in the UK in order to draw synergistic inference on key epidemiological drivers. More precisely, I am using statistical algorithms that have recently been developed to perform inference on partially observed Markov processes.

Research Area
Statistical methods
Modelling
Discipline
Mathematical modelling
Statistics
Bioinformatics
Disease and Health Conditions
Infectious disease
Influenza

Selected Publications

Assessing the performance of real-time epidemic forecasts: A case study of Ebola in the Western Area region of Sierra Leone, 2014-15.
Funk S; Camacho A; Kucharski AJ; Lowe R; Eggo RM; Edmunds WJ
2019
PLoS computational biology
Cholera epidemic in Yemen, 2016-18: an analysis of surveillance data.
Camacho A; Bouhenia M; Alyusfi R; Alkohlani A; Naji MAM; de Radiguès X; Abubakar AM; Almoalmi A; Seguin C; Sagrado MJ
2018
The Lancet Global health
Cholera epidemic in Yemen - Author's reply.
Camacho A; Bouhenia M; Azman AS; Poncin M; Zagaria N; Luquero FJ
2018
The Lancet Global health
A dynamic model of transmission and elimination of peste des petits ruminants in Ethiopia.
Fournié G; Waret-Szkuta A; Camacho A; Yigezu LM; Pfeiffer DU; Roger F
2018
Proceedings of the National Academy of Sciences of the United States of America
Near real-time forecasting for cholera decision making in Haiti after Hurricane Matthew.
Pasetto D; Finger F; Camacho A; Grandesso F; Cohuet S; Lemaitre JC; Azman AS; Luquero FJ; Bertuzzo E; Rinaldo A
2018
PLoS computational biology
Ring vaccination with rVSV-ZEBOV under expanded access in response to an outbreak of Ebola virus disease in Guinea, 2016: an operational and vaccine safety report.
Gsell P-S; Camacho A; Kucharski AJ; Watson CH; Bagayoko A; Nadlaou SD; Dean NE; Diallo A; Diallo A; Honora DA
2017
The Lancet infectious diseases
Drivers for Rift Valley fever emergence in Mayotte: A Bayesian modelling approach.
Métras R; Fournié G; Dommergues L; Camacho A; Cavalerie L; Mérot P; Keeling MJ; Cêtre-Sossah C; Cardinale E; Edmunds WJ
2017
PLoS neglected tropical diseases
See more Publications