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Phylodynamic analysis of the highly pathogenic avian influenza H5N8 epidemic in France, 2016–2017

In 2016–2017, France experienced a devastating epidemic of highly pathogenic avian influenza (HPAI) H5N8, with more than 400 outbreaks reported in poultry farms. We analyzed the spatiotemporal dynamics of the epidemic using a structured‐coalescent‐based phylodynamic approach that combined viral geno...

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Autores principales: Chakraborty, Debapriyo, Guinat, Claire, Müller, Nicola F., Briand, Francois‐Xavier, Andraud, Mathieu, Scoizec, Axelle, Lebouquin, Sophie, Niqueux, Eric, Schmitz, Audrey, Grasland, Beatrice, Guerin, Jean‐Luc, Paul, Mathilde C., Vergne, Timothée
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9790735/
https://www.ncbi.nlm.nih.gov/pubmed/35195353
http://dx.doi.org/10.1111/tbed.14490
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author Chakraborty, Debapriyo
Guinat, Claire
Müller, Nicola F.
Briand, Francois‐Xavier
Andraud, Mathieu
Scoizec, Axelle
Lebouquin, Sophie
Niqueux, Eric
Schmitz, Audrey
Grasland, Beatrice
Guerin, Jean‐Luc
Paul, Mathilde C.
Vergne, Timothée
author_facet Chakraborty, Debapriyo
Guinat, Claire
Müller, Nicola F.
Briand, Francois‐Xavier
Andraud, Mathieu
Scoizec, Axelle
Lebouquin, Sophie
Niqueux, Eric
Schmitz, Audrey
Grasland, Beatrice
Guerin, Jean‐Luc
Paul, Mathilde C.
Vergne, Timothée
author_sort Chakraborty, Debapriyo
collection PubMed
description In 2016–2017, France experienced a devastating epidemic of highly pathogenic avian influenza (HPAI) H5N8, with more than 400 outbreaks reported in poultry farms. We analyzed the spatiotemporal dynamics of the epidemic using a structured‐coalescent‐based phylodynamic approach that combined viral genomic data (n = 196; one viral genome per farm) and epidemiological data. In the process, we estimated viral migration rates between départements (French administrative regions) and the temporal dynamics of the effective viral population size (Ne) in each département. Viral migration rates quantify viral spread between départements and Ne is a population genetic measure of the epidemic size and, in turn, is indicative of the within‐département transmission intensity. We extended the phylodynamic analysis with a generalized linear model to assess the impact of multiple factors—including large‐scale preventive culling and live‐duck movement bans—on viral migration rates and Ne. We showed that the large‐scale culling of ducks that was initiated on 4 January 2017 significantly reduced the viral spread between départements. No relationship was found between the viral spread and duck movements between départements. The within‐département transmission intensity was found to be weakly associated with the intensity of duck movements within départements. Together, these results indicated that the virus spread in short distances, either between adjacent départements or within départements. Results also suggested that the restrictions on duck transport within départements might not have stopped the viral spread completely. Overall, we demonstrated the usefulness of phylodynamics in characterizing the dynamics of a HPAI epidemic and assessing control measures. This method can be adapted to investigate other epidemics of fast‐evolving livestock pathogens.
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spelling pubmed-97907352022-12-28 Phylodynamic analysis of the highly pathogenic avian influenza H5N8 epidemic in France, 2016–2017 Chakraborty, Debapriyo Guinat, Claire Müller, Nicola F. Briand, Francois‐Xavier Andraud, Mathieu Scoizec, Axelle Lebouquin, Sophie Niqueux, Eric Schmitz, Audrey Grasland, Beatrice Guerin, Jean‐Luc Paul, Mathilde C. Vergne, Timothée Transbound Emerg Dis Original Articles In 2016–2017, France experienced a devastating epidemic of highly pathogenic avian influenza (HPAI) H5N8, with more than 400 outbreaks reported in poultry farms. We analyzed the spatiotemporal dynamics of the epidemic using a structured‐coalescent‐based phylodynamic approach that combined viral genomic data (n = 196; one viral genome per farm) and epidemiological data. In the process, we estimated viral migration rates between départements (French administrative regions) and the temporal dynamics of the effective viral population size (Ne) in each département. Viral migration rates quantify viral spread between départements and Ne is a population genetic measure of the epidemic size and, in turn, is indicative of the within‐département transmission intensity. We extended the phylodynamic analysis with a generalized linear model to assess the impact of multiple factors—including large‐scale preventive culling and live‐duck movement bans—on viral migration rates and Ne. We showed that the large‐scale culling of ducks that was initiated on 4 January 2017 significantly reduced the viral spread between départements. No relationship was found between the viral spread and duck movements between départements. The within‐département transmission intensity was found to be weakly associated with the intensity of duck movements within départements. Together, these results indicated that the virus spread in short distances, either between adjacent départements or within départements. Results also suggested that the restrictions on duck transport within départements might not have stopped the viral spread completely. Overall, we demonstrated the usefulness of phylodynamics in characterizing the dynamics of a HPAI epidemic and assessing control measures. This method can be adapted to investigate other epidemics of fast‐evolving livestock pathogens. John Wiley and Sons Inc. 2022-03-07 2022-09 /pmc/articles/PMC9790735/ /pubmed/35195353 http://dx.doi.org/10.1111/tbed.14490 Text en © 2022 The Authors. Transboundary and Emerging Diseases published by Wiley‐VCH GmbH. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Original Articles
Chakraborty, Debapriyo
Guinat, Claire
Müller, Nicola F.
Briand, Francois‐Xavier
Andraud, Mathieu
Scoizec, Axelle
Lebouquin, Sophie
Niqueux, Eric
Schmitz, Audrey
Grasland, Beatrice
Guerin, Jean‐Luc
Paul, Mathilde C.
Vergne, Timothée
Phylodynamic analysis of the highly pathogenic avian influenza H5N8 epidemic in France, 2016–2017
title Phylodynamic analysis of the highly pathogenic avian influenza H5N8 epidemic in France, 2016–2017
title_full Phylodynamic analysis of the highly pathogenic avian influenza H5N8 epidemic in France, 2016–2017
title_fullStr Phylodynamic analysis of the highly pathogenic avian influenza H5N8 epidemic in France, 2016–2017
title_full_unstemmed Phylodynamic analysis of the highly pathogenic avian influenza H5N8 epidemic in France, 2016–2017
title_short Phylodynamic analysis of the highly pathogenic avian influenza H5N8 epidemic in France, 2016–2017
title_sort phylodynamic analysis of the highly pathogenic avian influenza h5n8 epidemic in france, 2016–2017
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9790735/
https://www.ncbi.nlm.nih.gov/pubmed/35195353
http://dx.doi.org/10.1111/tbed.14490
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