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Modéliser la diffusion des infections nosocomiales : l'importance des données de réseaux au sein des établissements de soins

Abstract : Each year nosocomial infections affect more than 4 million patients in Europe, with a significant impact in terms of mortality, morbidity and cost. Of these infections, those caused by multi-resistant bacteria (BMR) play a major role. Mathematical modeling of epidemics is an important tool to better understand the dynamics of dissemination of BMR and evaluate the effectiveness of prevention measures.The main objective of this project is to study the BMR propagation dynamics within a network of hospitals, taking into account different levels: intra-ward and inter-wards and inter-hospitals. This is to establish a research methodology based on mathematical and computer modeling and supported by data collected in the Paris Île de France Ouest (PIFO), to better understand the role played by each hospital in the emergence and selection of BMR, to quantify the risk of their dissemination (including in the general population), and to identify effective control measures. This work will be based on statistical inference methods, analytical sensitivity and uncertainty analysis.
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  • HAL Id : tel-02403745, version 1

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Rania Assab. Modéliser la diffusion des infections nosocomiales : l'importance des données de réseaux au sein des établissements de soins. Médecine humaine et pathologie. Conservatoire national des arts et metiers - CNAM, 2018. Français. ⟨NNT : 2018CNAM1199⟩. ⟨tel-02403745⟩

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