Jombart, Thibaut

Effectiveness of isolation, testing, contact tracing, and physical distancing on reducing transmission of SARS-CoV-2 in different settings: a mathematical modelling study

Kucharski, A. J., Klepac, P., Conlan, A. J. K., Kissler, S. M., Tang, M. L., Fry, H., Gog, J. R., Edmunds, W. J., Emery, J. C., Medley, G., et al. (2020) · The Lancet Infectious Diseases

COVID-19 epidemiological studiesCOVID-19 Digital Contact Tracing

Cited by 900

Effects of non-pharmaceutical interventions on COVID-19 cases, deaths, and demand for hospital services in the UK: a modelling study

Davies, N. G., Kucharski, A. J., Eggo, R. M., Gimma, A., Edmunds, W. J., Jombart, T., O'Reilly, K., Endo, A., Hellewell, J., Nightingale, E. S., et al. (2020) · The Lancet Public Health

COVID-19 epidemiological studiesCOVID-19 Prevention and Impact

Cited by 848

An aboriginal Australian genome reveals separate human dispersals into Asia

Rasmussen, M., Guo, X., Wang, Y., Lohmueller, K. E., Rasmussen, S., Albrechtsen, A., Skotte, L., Lindgreen, S., Metspalu, M., Jombart, T., et al. (2011) · Science

Forensic and Genetic ResearchPleistocene-Era Hominins and Archaeology

Cited by 787

When are pathogen genome sequences informative of transmission events?

Campbell, F., Strang, C., Ferguson, N., Cori, A., & Jombart, T. (2018) · PLOS Pathogens

Genomics and Phylogenetic StudiesEvolution and Genetic Dynamics

Cited by 199

Nonrandom Distribution of Azole Resistance across the Global Population of Aspergillus fumigatus

Sewell, T. R., Zhu, J., Rhodes, J., Hagen, F., Meis, J. F., Fisher, M. C., & Jombart, T. (2019) · mBio

Antifungal resistance and susceptibilityFungal Plant Pathogen Control

Cited by 109

Modelling that shaped the early COVID-19 pandemic response in the UK

Brooks-Pollock, E., Danon, L., Jombart, T., & Pellis, L. (2021) · Philosophical Transactions of the Royal Society B

COVID-19 epidemiological studiesAcademic Publishing and Open Access

Cited by 76

Modelling the medium-term dynamics of SARS-CoV-2 transmission in England in the Omicron era

Barnard, R. C., Davies, N. G., Centre for Mathematical Modelling of Infectious Diseases COVID-19 working group, Munday, J. D., Lowe, R., Knight, G. M., Leclerc, Q. J., Tully, D. C., Hodgson, D., Pung, R., et al. (2022) · Nature Communications

COVID-19 epidemiological studiesSARS-CoV-2 and COVID-19 Research

Cited by 68