Prof Adam Kucharski

Prof of Infectious Disease Epidemiology

United Kingdom

My research focuses on making better use of data and analytics for understanding infectious disease dynamics, to inform epidemic preparedness and response. This includes large-scale studies of social behaviour and immunity, as well as development of open source software tools. I am also co-director of the Centre for Epidemic Preparedness and Response at LSHTM.

From 2017–21, I was a Wellcome Trust/Royal Society Sir Henry Dale Fellow and 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).


Department of Infectious Disease Epidemiology and Dynamics
Faculty of Epidemiology and Population Health


Centre for Epidemic Preparedness and Response
Centre for Mathematical Modelling of Infectious Diseases


I co-organise the MSc module Epidemiology of Infectious Diseases (2437), and teach about outbreak analysis and modelling on a range of other modules.


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.

Selected Publications

Estimating the effectiveness of routine asymptomatic PCR testing at different frequencies for the detection of SARS-CoV-2 infections.
HELLEWELL, J; RUSSELL, TW; SAFER Investigators and Field Study Team,; Crick COVID-19 Consortium,; CMMID COVID-19 working group,; Beale, R; Kelly, G; Houlihan, C; Nastouli, E; KUCHARSKI, AJ;
BMC medicine
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, AJ K; Kissler, SM; Tang, ML; Fry, H; Gog, JR; EDMUNDS, WJ; CMMID COVID-19 working group,;
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 Di,;
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;
BMC medicine
Timescales of influenza A/H3N2 antibody dynamics.
KUCHARSKI, AJ; Lessler, J; Cummings, DA T; Riley, S;
PLoS biology
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; EDMUNDS, WJ; Aaskov, J; Nilles, EJ; Cao-Lormeau, V-M; Hué, S; HIBBERD, ML;
Trust and COVID-19 vaccine hesitancy in the Dominican Republic: a national cross-sectional household survey, June-October 2021.
Garnier, S; Then, C; De St Aubin, M; Cadavid Restrepo, A; Mayfield, HJ; Dumas, D; Duke, W; Peña, F; KUCHARSKI, AJ; Skewes, R; Zielinski Gutiérrez, E; Coyoli, J; Etienne, MC; Lau, CL; Vázquez, M; Nilles, E;
BMJ open
Importance of investing time and money in integrating large language model-based agents into outbreak analytics pipelines.
Van Hoek, AJ; FUNK, S; FLASCHE, S; QUILTY, BJ; Van Kleef, E; Camacho, A; KUCHARSKI, AJ;
The Lancet. Microbe
High SARS-CoV-2 incidence and asymptomatic fraction during Delta and Omicron BA.1 waves in The Gambia.
Jarju, S; Wenlock, RD; Danso, M; JOBE, D; Jagne, YJ; Darboe, A; Kumado, M; Jallow, Y; Touray, M; Ceesay, EA; Gaye, H; Gaye, B; Tunkara, A; Kandeh, S; Gomes, M; Sylva, EL; Toure, F; Hornsby, H; Lindsey, BB; Nicklin, MJ; Sayers, JR; SESAY, AK; KUCHARSKI, A; HODGSON, D; KAMPMANN, B; ... De Silva, TI.
Nature communications
Streptococcus pyogenes carriage and infection within households in The Gambia: a longitudinal cohort study.
ARMITAGE, EP; De Crombrugghe, G; Keeley, AJ; Senghore, E; Camara, FE; Jammeh, M; Bittaye, A; Ceesay, H; Ceesay, I; Samateh, B; Manneh, M; KAMPMANN, B; Turner, CE; KUCHARSKI, A; Botteaux, A; Smeesters, PR; De Silva, TI; MARKS, M; MRCG StrepA Study Group,;
The Lancet. Microbe
See more information