Phylodynamic analysis of the highly pathogenic avian influenza H5N8 epidemic in France, 2016–2017. Issue 5 (7th March 2022)
- Record Type:
- Journal Article
- Title:
- Phylodynamic analysis of the highly pathogenic avian influenza H5N8 epidemic in France, 2016–2017. Issue 5 (7th March 2022)
- Main Title:
- Phylodynamic analysis of the highly pathogenic avian influenza H5N8 epidemic in France, 2016–2017
- Authors:
- 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 - Abstract:
- Abstract: 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 orAbstract: 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. … (more)
- Is Part Of:
- Transboundary and emerging diseases. Volume 69:Issue 5(2022)
- Journal:
- Transboundary and emerging diseases
- Issue:
- Volume 69:Issue 5(2022)
- Issue Display:
- Volume 69, Issue 5 (2022)
- Year:
- 2022
- Volume:
- 69
- Issue:
- 5
- Issue Sort Value:
- 2022-0069-0005-0000
- Page Start:
- e1574
- Page End:
- e1583
- Publication Date:
- 2022-03-07
- Subjects:
- emerging infectious diseases -- modelling infectious disease dynamics -- outbreak analytics -- reconstruction of viral transmission -- virus evolution -- virus molecular epidemiology
Veterinary medicine -- Periodicals
636.089 - Journal URLs:
- http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1865-1682 ↗
http://www3.interscience.wiley.com/journal/118541580/home ↗
http://www.blackwell-synergy.com/rd.asp?goto=journal&code=jva ↗
https://www.hindawi.com/journals/schm/contents/ ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1111/tbed.14490 ↗
- Languages:
- English
- ISSNs:
- 1865-1674
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 9020.570100
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 23920.xml