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EPHYFLU

Financiado

Bridging epidemic modelling and phylogenetic methods to understand avian influen...

Bridging epidemic modelling and phylogenetic methods to understand avian influenza transmission in poultry trading networks Poultry production has risen as the main livestock sector worldwide, with this growth being primarily driven by low and middle income countries such as Bangladesh. Unfortunately, the high circulation of avian influenza in domestic... ver más

01/10/2026

INRAE

212K€

Presupuesto del proyecto: 212K€

Líder del proyecto

INSTITUT NATIONAL DE RECHERCHE POUR LAGRICULT... No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Ver 2 Participantes

Financiación concedida El organismo HORIZON EUROPE notifico la concesión del proyecto el día 2024-05-02

HORIZON-MSCA-2023-PF-01-01: MSCA Postdoctoral Fellowships 2023 ExpectedOutcome:Project results are expected to contribute to the following outcomes:

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Cerrada hace 1 año

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2 Participantes

INRAE

211.75K€ | Lider

VetAgro Sup

N.D. | Participante

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Duración del proyecto: 28 meses Fecha Inicio: 2024-05-02
Fecha Fin: 2026-10-01

Líder del proyecto

INSTITUT NATIONAL DE RECHERCHE POUR LAGRICULT... No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Presupuesto del proyecto 212K€

Descripción del proyecto Poultry production has risen as the main livestock sector worldwide, with this growth being primarily driven by low and middle income countries such as Bangladesh. Unfortunately, the high circulation of avian influenza in domestic flocks undermines economic and societal benefits of poultry production in this country and raises significant concerns for human health. Nonetheless, avian influenza transmission in Bangladeshi poultry remains poorly characterised. To fill this gap, the EPHYFLU project will shed light on the transmission patterns of H9N2 avian influenza virus, the most common strain in Bangladesh, by combining state-of-the-art mechanistic models and high quality sequence data. In particular, this project will develop novel methods to leverage genomic data to inform epidemic models, which will be used to assess the effectiveness of a range of veterinary public health interventions aiming to reduce H9N2 avian influenza transmission. This program will result in novel policy recommendations for avian influenza control in Bangladesh, and contribute to the integration of phylogenetic and mechanistic modelling.

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