DrThibautJombart

Faculty of Medicine, School of Public Health

Senior Lecturer

Contact

Location

UG11Norfolk PlaceSt Mary's Campus

Summary

I am a biometrician working on statistical genetics of pathogen populations. I am currently working as a research associate with Neil Ferguson, Christophe Fraser and Simon Cauchemez. My work aims to develop novel statistical approaches for extracting information from pathogen genomes and gain insights into the spatio-temporal dynamics of infectious diseases. The methodological approaches I use include multivariate analysis, Bayesian statistics, spatial statistics, graph theory, and phylogenetics. I am also interested in using simulations to understand which and how biological processes shape the genetic diversity observed in biological populations.

I am also extensively involved with the development of free software for the analysis of genetic and epidemiological data. I have recently organized a R hackathon on disease outbreak modelling using molecular data, hosted by the MRC Center for Outbreak Analysis and Modelling in January 2013

I am author or contributor for the following R packages:

- adegenet (author): multivariate analysis for genetic/genomic data

- adephylo (author): tools for testing and describing the phylogenetic signal

- geoGraph (author): large-scale modelling of spatial data

- ade4 (contributor): multivariate analysis, graphics, spatial statistics

- phylobase (contributor): handling and analyses of phylogenetic comparative data

- sedaR (contributor): spatial statistics for ecological data

- outbreaker (author): Bayesian reconstruction of disease outbreaks using genomic data

- epibase (author): basic tools for the disease outbreak analysis

More information is available from my webpage.

Publications

Journals

Brooks-Pollock E, Danon L, Jombart T, et al.Brooks-Pollock E, Danon L, Jombart T, Pellis L close, 2021, Modelling that shaped the early COVID-19 pandemic response in the UK, Philosophical Transactions of the Royal Society B-biological Sciences, Vol:376, ISSN:0962-8436

Jombart T, Ghozzi S, Schumacher D, et al.Jombart T, Ghozzi S, Schumacher D, Taylor TJ, Leclerc QJ, Jit M, Flasche S, Greaves F, Ward T, Eggo RM, Nightingale E, Meakin S, Brady OJ, Medley GF, Hohle M, Edmunds WJ close, 2021, Real-time monitoring of COVID-19 dynamics using automated trend fitting and anomaly detection, Philosophical Transactions of the Royal Society B-biological Sciences, Vol:376, ISSN:0962-8436

Jit M, Jombart T, Nightingale ES, et al.Jit M, Jombart T, Nightingale ES, Endo A, Abbott S, Edmunds WJ close, 2020, Estimating number of cases and spread of coronavirus disease (COVID-19) using critical care admissions, United Kingdom, February to March 2020, Eurosurveillance, Vol:25, ISSN:1025-496X, Pages:6-10

Jombart T, Jarvis CI, Mesfin S, et al.Jombart T, Jarvis CI, Mesfin S, Tabal N, Mossoko M, Mpia LM, Abedi AA, Chene S, Forbin EE, Belizaire MRD, de Radigues X, Ngombo R, Tutu Y, Finger F, Crowe M, Supsup WJE, Nsio J, Yam A, Diallo B, Gueye AS, Ahuka-Mundeke S, Yao M, Fall IS close, 2020, The cost of insecurity: from flare-up to control of a major Ebola virus disease hotspot during the outbreak in the Democratic Republic of the Congo, 2019, Eurosurveillance, Vol:25, ISSN:1560-7917, Pages:19-22

Jombart T, van Zandvoort K, Russell TW, et al.Jombart T, van Zandvoort K, Russell TW, Jarvis CI, Gimma A, Abbott S, Clifford S, Funk S, Gibbs H, Liu Y, Pearson CAB, Bosse NI, Centre for the Mathematical Modelling of Infectious Diseases COVID-19 Working Group, Eggo RM, Kucharski AJ, Edmunds WJ close, 2020, Inferring the number of COVID-19 cases from recently reported deaths., Wellcome Open Res, Vol:5, ISSN:2398-502X

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