Projects per year
Personal profile
Biography
Romain Ragonnet is an infectious disease modeller. He obtained a Master's degree in Applied Mathematics at the University of Lille (France) in 2014. He then realised his doctoral studies at the University of Melbourne between 2015 and 2018. The topic of his PhD was the mathematical modelling of tuberculosis.
Romain has extensive experience in the fields of epidemiological research and programmatic application, both using the mathematical modelling tool. A significant part of his research work consists in exploring the dynamics of Mycobacterium tuberculosis transmission in order to improve the understanding of TB epidemiology and to assist local and global TB control.
Research area keywords
- Epidemiology
- Mathematical Modeling (Medical)
- Tuberculosis
- Infectious Diseases
- Preventive Medicine
Network
Recent external collaboration on country level. Dive into details by clicking on the dots or
Projects
- 3 Finished
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Modelling enhanced TB control through active case finding in the Marshall Islands
Trauer, J., Ragonnet, R., Mcbryde, E. S. & Williams, B.
5/11/19 → 31/12/19
Project: Research
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Modelling novel vaccine effectiveness in TB-endemic populations to maximise impact
Trauer, J., Triccas, J. A., Fox, G. J., Ragonnet, R., Abayawardana, M. & Mcbryde, E. S.
23/09/19 → 31/12/20
Project: Research
Research output
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Evolution Control for parallel ANN-assisted simulation-based optimization application to Tuberculosis Transmission Control
Briffoteaux, G., Ragonnet, R., Mezmaz, M., Melab, N. & Tuyttens, D., Dec 2020, In : Future Generation Computer Systems. 113, p. 454-467 14 p.Research output: Contribution to journal › Article › Research › peer-review
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Heterogeneous infectiousness in mathematical models of tuberculosis: A systematic review
Melsew, Y. A., Adekunle, A. I., Cheng, A. C., McBryde, E. S., Ragonnet, R. & Trauer, J. M., Mar 2020, In : Epidemics. 30, 10 p., 100374.Research output: Contribution to journal › Article › Research › peer-review
Open AccessFile -
Parallel surrogate-assisted optimization: Batched Bayesian Neural Network-assisted GA versus q-EGO
Briffoteaux, G., Gobert, M., Ragonnet, R., Gmys, J., Mezmaz, M., Melab, N. & Tuyttens, D., Sep 2020, In : Swarm and Evolutionary Computation. 57, 14 p., 100717.Research output: Contribution to journal › Article › Research › peer-review
Open AccessFile1 Citation (Scopus) -
Time for a clear national COVID-19 strategy
Trauer, J. M., Marais, B. J., Ragonnet, R., Savulescu, J. & McBryde, E. S., 2020, (Accepted/In press) In : Medical Journal of Australia. 2 p.Research output: Contribution to journal › Letter › Other › peer-review
Open Access -
Cost-effectiveness of 3 months of weekly rifapentine and isoniazid compared with other standard treatment regimens for latent tuberculosis infection: a decision analysis study
Doan, T. N., Fox, G. J., Meehan, M. T., Scott, N., Ragonnet, R., Viney, K., Trauer, J. M. & McBryde, E. S., 1 Jan 2019, In : Journal of Antimicrobial Chemotherapy. 74, 1, p. 218-227 10 p., dky403.Research output: Contribution to journal › Article › Research › peer-review
4 Citations (Scopus)