Bayesian phylodynamics reveals the transmission dynamics of avian influenza A(H7N9) virus at the human–live bird market interface in China

Significance Our study used a phylodynamic model incorporating geographical and host structure to uncover critical information about the transmission dynamics of H7N9 virus in China including the number, geographic direction, and timing of new infections. By employing a Bayesian phylodynamic approach, we emphasize the significance of integrating epidemiological and genetic data to assess the epidemic state and inform future surveillance efforts for both public and animal health. Our findings highlight the importance of leveraging phylodynamic analyses to better understand and respond to emerging infectious diseases.

Keywords

Phylodynamics avian influenza live bird markets transmission spill-over

Domains

Life Sciences [q-bio] Human health and pathology Virology

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pnas.2215610120.pdf (2.64 Mo)

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Submitted on : Monday, July 17, 2023-3:27:34 PM

Last modification on : Wednesday, August 9, 2023-4:00:20 AM

Dates and versions

hal-04163619 , version 1 (17-07-2023)

Licence

Attribution - NonCommercial - NoDerivatives

Identifiers

HAL Id : hal-04163619 , version 1
DOI : 10.1073/pnas.2215610120

Cite

Claire Guinat, Hao Tang, Qiqi Yang, Cecilia Valenzuela Agüí, Timothy G Vaughan, et al.. Bayesian phylodynamics reveals the transmission dynamics of avian influenza A(H7N9) virus at the human–live bird market interface in China. Proceedings of the National Academy of Sciences of the United States of America, 2023, 120 (17), ⟨10.1073/pnas.2215610120⟩. ⟨hal-04163619⟩

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