Romain Ragonnet is a mathematician working on tuberculosis modelling.
Originally from France, Romain has worked at the INSERM institute of Paris, investigating the dynamics of the spontaneous clearance of the hepatitis C virus in HIV-HCV co-infected individuals.
In 2014, he worked as a research assistant at the Burnet Institute where his main project was a comparison between real and apparent impacts of vaccines against endemic infections.
In 2015, Romain was the principal investigator on a project supported by the TB Modelling and Analysis Consortium (TB-MAC), studying the impact of tuberculosis incidence on the effectiveness of the isoniazid preventive therapy (IPT).
He started a PhD with the University of Melbourne in November 2015, studying the impact of the degree of granularity that is used when modelling tuberculosis for assessing interventions effectiveness.
- The University of Melbourne, Department of Medicine, Dentistry and Health Sciences, Melbourne, Australia
- Burnet Institute, Centre for Population Health, Melbourne, Australia
- Inserm, Paris, France
- PhD Student, University of Melbourne
- Research Assistant, Burnet Institute
- Research Assistant, Inserm
- 2014: MSc Masters of Mathematics, University of Lille, France
- 2009: Bachelor of Mathematics, University of Lille, France
- Modular programming for tuberculosis control, the "AuTuMN" platform.
Trauer JM, Ragonnet R, Doan TN, McBryde ES
BMC Infect Dis. 2017 Aug; 17(1):546
- Optimally capturing latency dynamics in models of tuberculosis transmission.
Ragonnet R, Trauer JM, Scott N, Meehan MT, Denholm JT, McBryde ES
Epidemics. 2017 Jun; Epub ahead of print
- A user-friendly mathematical modelling web interface to assist local decision making in the fight against drug-resistant tuberculosis.
Ragonnet R, Trauer JM, Denholm JT, Marais BJ, McBryde ES
BMC Infect Dis. 2017 May; 17(1):374
- The risk of global epidemic replacement with drug resistant M. tuberculosis strains.
McBryde ES, Meehan MT, Doan TN, Ragonnet R, Marais BJ, Guernier V, Trauer JM
Int J Infect Dis. 2017 Mar; 56:14-20
- Is IPT more effective in high-burden settings? Modelling the effect of tuberculosis incidence on IPT impact.
Ragonnet R, Trauer JM, McBryde ES, Houben RM, Denholm JT, Handel A, Sumner T
Int J Tuberc Lung Dis. 2017 Jan; 21(1):60-66