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ECOFECT - Eco-evolutionary dynamics of infectious diseases
http://ecofect.universite-lyon.frECOFECT aims to conduct innovative research in the field of infectious diseases by considering the relationship between hosts and parasites as a complex network of interactions between molecules and cells, as well as individuals, populations and communities. It also aims to promote the pooling of expertise between basic research and medical and industrial research with a view to exchanging knowledge in areas related to the prevention and treatment of infectious diseases (diagnosis, vaccines, healthcare management, etc.)
ECOFECT promotes interdisciplinarity to understand how global changes facilitate the emergence of infectious diseases and to identify innovative management strategies that incorporate expertise in ecology and the evolution of populations and communities.
Partnerships
- Centre International de Recherche en Infectiologie – CIRI (Inserm U1111 – UMR CNRS 5308)
- Laboratoire de Biométrie et Biologie Evolutive – LBBE (UMR CNRS 5558)
- Microbiologie Moléculaire et Biochimie Structurale – MMSB (UMR CNRS 5086)
- Laboratoire de Biologie Tissulaire et Ingénierie thérapeutiques – LBTI (UMR CNRS 5305)
- Laboratoire d’Écologie Microbienne - LEM (UMR CNRS 5557)
- Unité Mixte de Recherche Épidémiologie des Maladies Animales et Zoonotiques - EPIA (INRA UMR0346)
- Institut de Génomique Fonctionnelle de Lyon – IGFL (CNRS UMR 5242, INRA USC 1370)
- ecofect@universite-lyon.fr
- On the Internet
- http://ecofect.universite-lyon.fr
Key words
ecology, infectious disease, evolution, mathematic modelling, immunology, human and animal health.
Research areas:
- An integrative approach for emerging zoonotic infectious diseases (hemorrhagic fevers, Dengue, Zika, HBV, etc.)
- A study of the eco-evolution of microbial interactions using observational and experimental approaches: how microbial interactions affect the severity and outcome of infectious diseases
- A study of the dynamics of infestation and the persistence of antibiotic resistance in bacterial communities