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Dr Marc Baguelin

Associate Professor

United Kingdom

I am an Associate Professor at the London School of Hygiene and Tropical Medicine and Senior Lecturer in Infectious Disease Epidemiology at Imperial College London. My group develops inference methods and tools for modelling infectious disease transmission and potential interventions. We are focussing on a Bayesian evidence synthesis approach where multiple data streams can be used to inform parameters of complex mechanistic models in real time applications. Since January 2020, I have been part of the Imperial College London Covid-19 response team, involved in the Centre鈥檚 effort to understand the properties of the emerging virus in the early phase and subsequently leading the UK Real-time modelling team informing the UK government through SPI-M-O. I am also a member of the Scientific Pandemic Influenza Group on Modelling (SPI-M) and the Commission technique des vaccinations (CTV), France NITAG.

Affiliations

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

Centres

Centre for Mathematical Modelling of Infectious Diseases

Selected Publications

Perez-Guzman, PN; Chanda, SL; SCHAAP, A; Shanaube, K; BAGUELIN, M; Nyangu, ST; Kanyanga, MK; Walker, P; AYLES, H; Chilengi, R; Verity, R; Hauck, K; Knock, ES; Cori, A;
2024
International journal of infectious diseases
Manley, H; Bayley, T; Danelian, G; Burton, L; Finnie, T; Charlett, A; Watkins, NA; Birrell, P; De Angelis, D; Keeling, M; FUNK, S; MEDLEY, G; Pellis, L; BAGUELIN, M; Ackland, GJ; Hutchinson, J; Riley, S; Panovska-Griffiths, J;
2024
Royal Society open science
Manley, H; Park, J; Bevan, L; Sanchez-Marroquin, A; Danelian, G; Bayley, T; Bowman, V; Maishman, T; Finnie, T; Charlett, A; Watkins, NA; Hutchinson, J; MEDLEY, G; Riley, S; Panovska-Griffiths, J;
2024
Epidemiology and Infection
SHERRATT, K; Carnegie, AC; KUCHARSKI, A; Cori, A; PEARSON, CA B; Jarvis, CI; Overton, C; Weston, D; Hill, EM; Knock, E; Fearon, E; NIGHTINGALE, E; Hellewell, J; EDMUNDS, WJ; Villabona Arenas, J; PREM, K; Pi, L; BAGUELIN, M; Kendall, M; Ferguson, N; DAVIES, N; EGGO, RM; Van Elsland, S; RUSSELL, T; FUNK, S; ... ABBOTT, S.
2024
Wellcome open research
Perez-Guzman, PN; Knock, E; Imai, N; Rawson, T; Elmaci, Y; Alcada, J; Whittles, LK; Thekke Kanapram, D; Sonabend, R; Gaythorpe, KA M; Hinsley, W; FitzJohn, RG; Volz, E; Verity, R; Ferguson, NM; Cori, A; BAGUELIN, M;
2023
Nature communications
Perez-Guzman, PN; Knock, E; Imai, N; Rawson, T; Elmaci, Y; Alcada, J; Whittles, LK; Thekke Kanapram, D; Sonabend, R; Gaythorpe, KA M; Hinsley, W; FitzJohn, RG; Volz, E; Verity, R; Ferguson, NM; Cori, A; BAGUELIN, M;
2023
Nature communications
HAN, SM; ROBERT, A; Masuda, S; Yasaka, T; Kanda, S; Komori, K; Saito, N; Suzuki, M; Endo, A; BAGUELIN, M; Ariyoshi, K;
2023
Scientific reports
Brazeau, NF; Verity, R; Jenks, S; FU, H; Whittaker, C; Winskill, P; Dorigatti, I; Walker, PG T; Riley, S; Schnekenberg, RP; Hoeltgebaum, H; Mellan, TA; Mishra, S; Unwin, HJ T; Watson, OJ; Cucunub谩, ZM; BAGUELIN, M; Whittles, L; Bhatt, S; Ghani, AC; Ferguson, NM; Okell, LC;
2022
Communications medicine
DIAMOND, C; Gong, H; Sun, FY; LIU, Y; QUILTY, BJ; JIT, M; Yang, J; Yu, H; EDMUNDS, WJ; BAGUELIN, M;
2022
BMC Medicine
Sandmann, FG; VAN LEEUWEN, E; Bernard-Stoecklin, S; Casado, I; Castilla, J; Domegan, L; Gherasim, A; Hooiveld, M; Kislaya, I; Larrauri, A; Levy-Bruhl, D; Machado, A; Marques, DF P; Mart铆nez-Baz, I; Mazagatos, C; McMenamin, J; Meijer, A; Murray, JL K; Nunes, B; O'Donnell, J; Reynolds, A; Thorrington, D; Pebody, R; BAGUELIN, M;
2022
Vaccine