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Dr Adam Kucharski

MMath PhD

Associate Professor

Room
107

LSHTM
Keppel Street
London
WC1E 7HT
United Kingdom

Tel.
+44 (0)20 7958 8273

My research focuses on the dynamics of infectious diseases. In particular, I am interested in how social behaviour and immunity shape disease transmission, and how knowledge of such processes can enhance control measures. This work is funded by a Wellcome Trust/Royal Society Sir Henry Dale Fellowship.

From 2013–17, I held a Medical Research Council Career Development Award in Biostatistics. Prior to joining the School in October 2013, I was a postdoc at Imperial College London. I have a degree in mathematics from the University of Warwick (2009) and a PhD in applied mathematics from the University of Cambridge (2012).

Affiliations

Department of Infectious Disease Epidemiology
Faculty of Epidemiology and Population Health

Centres

Centre for the Mathematical Modelling of Infectious Diseases (CMMID)

Research

Much of my work involves developing new mathematical and statistical approaches to understand the dynamics of infectious disease outbreaks. I am particularly interested in how to combine multiple data sources – including surveillance data, social behaviour studies and novel serological surveys – to uncover transmission dynamics and impact of interventions. This research covers directly transmitted infections like COVID-19, influenza and Ebola as well as arboviruses like dengue and Zika.

Public engagement is also an important part of my work: as well as running events in schools, museums and festivals, I have worked on several projects linking citizen science with large-scale data collection.

Research Area
Bayesian Analysis
Discipline
Epidemiology
Mathematical modelling
Statistics
Disease and Health Conditions
Infectious disease
Dengue
Emerging Infectious Disease
Influenza
Zoonotic disease

Selected Publications

Effectiveness of isolation, testing, contact tracing, and physical distancing on reducing transmission of SARS-CoV-2 in different settings: a mathematical modelling study.
Kucharski AJ; Klepac P; Conlan AJK; Kissler SM; Tang ML; Fry H; Gog JR; Edmunds WJ; CMMID COVID-19 working group
2020
LANCET INFECTIOUS DISEASES
Early dynamics of transmission and control of COVID-19: a mathematical modelling study.
Kucharski AJ; Russell TW; Diamond C; Liu Y; Edmunds J; Funk S; Eggo RM; Centre for Mathematical Modelling of Infectious Diseases COVID-1
2020
The Lancet. Infectious diseases
Real-time analysis of the diphtheria outbreak in forcibly displaced Myanmar nationals in Bangladesh.
Finger F; Funk S; White K; Siddiqui MR; Edmunds WJ; Kucharski AJ
2019
BMC medicine
Using paired serology and surveillance data to quantify dengue transmission and control during a large outbreak in Fiji.
Kucharski AJ; Kama M; Watson CH; Aubry M; Funk S; Henderson AD; Brady OJ; Vanhomwegen J; Manuguerra J-C; Lau CL
2018
eLife
Timescales of influenza A/H3N2 antibody dynamics.
Kucharski AJ; Lessler J; Cummings DAT; Riley S
2018
PLoS biology
See more Publications