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H 1 Evolutionary ecology of antibiotic resistance

Auteurs : Lehtinen, Sonja (Auteur de la Conférence)
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 :
    92A15 92D30 - Epidemiology
    92D40 - Ecology

      Informations sur la Vidéo

      Langue : Anglais
      Date de publication : 03/03/2020
      Date de captation : 17/02/2020
      Sous collection : Research talks
      Format : MP4
      arXiv category : Quantitative Biology ; Dynamical Systems
      Domaine : Dynamical Systems & ODE
      Durée : 00:28:45
      Audience : Chercheurs ; Doctorants , Post - Doctorants
      Download : https://videos.cirm-math.fr/2020-02-17_Lethinen.mp4

    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 infectieuses
    Organisateurs 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

    Citation Data

    DOI : 10.24350/CIRM.V.19612603
    Cite this video as: 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


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