English
Evolutionary ecology of antibiotic resistance
Multi angle
Auteurs : Lehtinen, Sonja (Auteur de la Conférence)
CIRM (Editeur )
92D30 - Epidemiology
92D40 - Ecology
CIRM (Editeur )
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Résumé :
Antibiotic resistance is a serious public health concern. Responding to this problem effectively requires characterising the factors (i.e. evolutionary and ecological processes) that determine resistance frequencies. At present, we do not have ecologically plausible models of resistance that are able to replicate observed trends - we are therefore unable to make credible predictions about resistance dynamics. In this talk, I will present work motivated by three tends observed in Streptococcus pneumoniae resistance data: the stable coexistence of antibiotic sensitivity and resistance, variation between resistance frequencies between pneumococcal lineages and correlation in resistance to different antibiotics. I will propose that variation in the fitness benefit gained from resistance arising from variation in the duration of carriage of pneumococcal lineages is a parsimonious explanation for all three trends. This eco-evolutionary framework could allow more accurate prediction of future resistance levels and play a role in informing strategies to prevent the spread of resistance.
Keywords : Mathematical modelling; evolutionary epidemiology; antibiotic resistance
Codes MSC : Keywords : Mathematical modelling; evolutionary epidemiology; antibiotic resistance
92D30 - Epidemiology
92D40 - Ecology
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Informations sur la Vidéo
Réalisateur : Hennenfent, GuillaumeLangue : Anglais Date de publication : 03/03/2020 Date de captation : 17/02/2020 Sous collection : Research talks arXiv category : Quantitative Biology ; Dynamical Systems Domaine : Dynamical Systems & ODE Format : MP4 (.mp4) - HD Durée : 00:28:45 Audience : Researchers Download : https://videos.cirm-math.fr/2020-02-17_Lethinen.mp4 
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Informations sur la Rencontre
Nom de la rencontre : Thematic Month Week 3: Mathematical Modeling and Statistical Analysis of Infectious Disease Outbreaks / Mois thématique Semaine 3 : Modélisation mathématique et analyses statistique des épidémies de maladies infectieusesOrganisateurs de la rencontre : Britton, Tom ; Forien, Raphaël ; Hubert, Florence ; Pardoux, Etienne Dates : 17/02/2020 - 21/02/2020 Année de la rencontre : 2020 URL Congrès : https://conferences.cirm-math.fr/2303.html
Données de citation
DOI : 10.24350/CIRM.V.19612603Citer cette vidéo: Lehtinen, Sonja (2020). Evolutionary ecology of antibiotic resistance. CIRM. Audiovisual resource. doi:10.24350/CIRM.V.19612603 URI : http://dx.doi.org/10.24350/CIRM.V.19612603 |
Voir aussi
- [Multi angle] Interview at Cirm: Julia GOG / Personne interviewée Gog, julia.
- [Multi angle] Interview at Cirm: Tom Britton / Personne interviewée Britton, Tom.
- [ Post-edited] Estimating parameters in the initial phase of an epidemic / Auteur de la Conférence Scalia Tomba, Gianpaolo.
- [Multi angle] Near-criticality in mathematical models of epidemics / Auteur de la Conférence Luczak, Malwina.
- [Multi angle] Island filters for inference on metapopulation dynamics / Auteur de la Conférence Ionides, Edward.
- [Multi angle] Towards reproducibility and transparency in mathematical and computational epidemiology / Auteur de la Conférence Frost, Simon.
Bibliographie
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