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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...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2022
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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. |
format | Online Article Text |
id | pubmed-9790735 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
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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