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Prof Adam Kucharski

Prof of Infectious Disease Epidemiology

United Kingdom

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 improve preparedness and response. This work is funded by a Wellcome Trust/Royal Society Sir Henry Dale Fellowship. I am also co-director of the Centre for Epidemic Preparedness and Response.

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 and Dynamics
Faculty of Epidemiology and Population Health

Centres

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

Teaching

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

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.

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;
2021
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,;
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 Di,;
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
Timescales of influenza A/H3N2 antibody dynamics.
KUCHARSKI, AJ; Lessler, J; Cummings, DA T; Riley, S;
2018
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;
2018
eLife
Quantifying the impact of pre-vaccination titre and vaccination history on influenza vaccine immunogenicity.
HODGSON, D; Sánchez-Ovando, S; Carolan, L; Liu, Y; Hadiprodjo, AJ; Fox, A; Sullivan, SG; KUCHARSKI, AJ;
2024
medRxiv
Combined analyses of within-host SARS-CoV-2 viral kinetics and information on past exposures to the virus in a human cohort identifies intrinsic differences of Omicron and Delta variants.
RUSSELL, TW; Townsley, H; ABBOTT, S; Hellewell, J; Carr, EJ; Chapman, LA C; Pung, R; QUILTY, BJ; HODGSON, D; Fowler, AS; Adams, L; Bailey, C; Mears, HV; Harvey, R; Clayton, B; O'Reilly, N; Ngai, Y; Nicod, J; Gamblin, S; Williams, B; Gandhi, S; Swanton, C; Beale, R; Bauer, DL V; Wall, EC; ... KUCHARSKI, AJ.
2024
PLoS biology
epiverse-trace/simulist
LAMBERT, J; Gruson, H; KUCHARSKI, AJ; Tamayo Cuartero, C;
2024
Github
Key Challenges for Respiratory Virus Surveillance while Transitioning out of Acute Phase of COVID-19 Pandemic.
Eales, O; Plank, MJ; Cowling, BJ; Howden, BP; KUCHARSKI, AJ; Sullivan, SG; Vandemaele, K; Viboud, C; Riley, S; McCaw, JM; Shearer, FM;
2024
Emerging infectious diseases
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