Maryem Ben Salem, Mathieu Andraud, Stéphanie Bougeard, Virginie Allain, Morgane Salines, Rodolphe Thomas, Audrey Schmitz, Legrand Saint-Cyr, Karine Fiore, Sophie Le Bouquin, Axelle Scoizec
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From August 2022 to March 2023, 397 poultry farms were infected, including different species and production types. For each outbreak, the farm characteristics and variables related with their direct environment within a 2 km radius were collected. Based on the Gower distance, accounting for qualitative and quantitative variable, clusters were identified using k-medoid partitioning algorithm. A random forest analysis was further used to hierarchize the relative role of each variable in the clustering process, to assess the importance of the farm structural and environmental conditions on the outbreak occurrence. To disentangle the impact of environmental factors from intrinsic herd characteristics, the method was applied twice: first, using the whole dataset including the farm characteristics and environmental variables (first scenario); second, accounting exclusively for the environmental variables (second scenario).</p><p><strong>Results: </strong>Overall, farm variables such as farm type were crucial in the clustering process, overpassing most of the environmental factors, although the distance from \"particular risk zones\" and the coastline were also important. However, the clusters obtained with the second scenario that counts only for the environmental variables, remained consistent with the first scenario.</p><p><strong>Discussion: </strong>This shows a non-negligible impact of environmental conditions on the probability of viral introduction in poultry herds. This study used an innovative approach to explore how HPAI dynamics can be influenced by external factors, which could help in the design of risk zones at the national level.</p>","PeriodicalId":12772,"journal":{"name":"Frontiers in Veterinary Science","volume":"12 ","pages":"1541019"},"PeriodicalIF":2.9000,"publicationDate":"2025-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12202217/pdf/","citationCount":"0","resultStr":"{\"title\":\"Investigating the role of environmental factors in the French highly pathogenic avian influenza epizootic in 2022-2023.\",\"authors\":\"Maryem Ben Salem, Mathieu Andraud, Stéphanie Bougeard, Virginie Allain, Morgane Salines, Rodolphe Thomas, Audrey Schmitz, Legrand Saint-Cyr, Karine Fiore, Sophie Le Bouquin, Axelle Scoizec\",\"doi\":\"10.3389/fvets.2025.1541019\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Introduction: </strong>The recurring epizootics of highly pathogenic avian influenza (HPAI) in France have been associated with changes in the epidemiological landscape, such as higher frequency of detections in wild birds and introductions into backyard farms. This highlights the need for a deeper understanding of the factors that drive the spread of HPAI, particularly environmental ones, which, unlike other factors, are still understudied.</p><p><strong>Methods: </strong>In this study, we examined various farm and environmental variables around the 2022-2023 outbreak sites in France to unravel potential common traits among detected outbreaks. From August 2022 to March 2023, 397 poultry farms were infected, including different species and production types. For each outbreak, the farm characteristics and variables related with their direct environment within a 2 km radius were collected. Based on the Gower distance, accounting for qualitative and quantitative variable, clusters were identified using k-medoid partitioning algorithm. A random forest analysis was further used to hierarchize the relative role of each variable in the clustering process, to assess the importance of the farm structural and environmental conditions on the outbreak occurrence. To disentangle the impact of environmental factors from intrinsic herd characteristics, the method was applied twice: first, using the whole dataset including the farm characteristics and environmental variables (first scenario); second, accounting exclusively for the environmental variables (second scenario).</p><p><strong>Results: </strong>Overall, farm variables such as farm type were crucial in the clustering process, overpassing most of the environmental factors, although the distance from \\\"particular risk zones\\\" and the coastline were also important. However, the clusters obtained with the second scenario that counts only for the environmental variables, remained consistent with the first scenario.</p><p><strong>Discussion: </strong>This shows a non-negligible impact of environmental conditions on the probability of viral introduction in poultry herds. This study used an innovative approach to explore how HPAI dynamics can be influenced by external factors, which could help in the design of risk zones at the national level.</p>\",\"PeriodicalId\":12772,\"journal\":{\"name\":\"Frontiers in Veterinary Science\",\"volume\":\"12 \",\"pages\":\"1541019\"},\"PeriodicalIF\":2.9000,\"publicationDate\":\"2025-06-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12202217/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Frontiers in Veterinary Science\",\"FirstCategoryId\":\"97\",\"ListUrlMain\":\"https://doi.org/10.3389/fvets.2025.1541019\",\"RegionNum\":2,\"RegionCategory\":\"农林科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q1\",\"JCRName\":\"VETERINARY SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Frontiers in Veterinary Science","FirstCategoryId":"97","ListUrlMain":"https://doi.org/10.3389/fvets.2025.1541019","RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/1 0:00:00","PubModel":"eCollection","JCR":"Q1","JCRName":"VETERINARY SCIENCES","Score":null,"Total":0}
Investigating the role of environmental factors in the French highly pathogenic avian influenza epizootic in 2022-2023.
Introduction: The recurring epizootics of highly pathogenic avian influenza (HPAI) in France have been associated with changes in the epidemiological landscape, such as higher frequency of detections in wild birds and introductions into backyard farms. This highlights the need for a deeper understanding of the factors that drive the spread of HPAI, particularly environmental ones, which, unlike other factors, are still understudied.
Methods: In this study, we examined various farm and environmental variables around the 2022-2023 outbreak sites in France to unravel potential common traits among detected outbreaks. From August 2022 to March 2023, 397 poultry farms were infected, including different species and production types. For each outbreak, the farm characteristics and variables related with their direct environment within a 2 km radius were collected. Based on the Gower distance, accounting for qualitative and quantitative variable, clusters were identified using k-medoid partitioning algorithm. A random forest analysis was further used to hierarchize the relative role of each variable in the clustering process, to assess the importance of the farm structural and environmental conditions on the outbreak occurrence. To disentangle the impact of environmental factors from intrinsic herd characteristics, the method was applied twice: first, using the whole dataset including the farm characteristics and environmental variables (first scenario); second, accounting exclusively for the environmental variables (second scenario).
Results: Overall, farm variables such as farm type were crucial in the clustering process, overpassing most of the environmental factors, although the distance from "particular risk zones" and the coastline were also important. However, the clusters obtained with the second scenario that counts only for the environmental variables, remained consistent with the first scenario.
Discussion: This shows a non-negligible impact of environmental conditions on the probability of viral introduction in poultry herds. This study used an innovative approach to explore how HPAI dynamics can be influenced by external factors, which could help in the design of risk zones at the national level.
期刊介绍:
Frontiers in Veterinary Science is a global, peer-reviewed, Open Access journal that bridges animal and human health, brings a comparative approach to medical and surgical challenges, and advances innovative biotechnology and therapy.
Veterinary research today is interdisciplinary, collaborative, and socially relevant, transforming how we understand and investigate animal health and disease. Fundamental research in emerging infectious diseases, predictive genomics, stem cell therapy, and translational modelling is grounded within the integrative social context of public and environmental health, wildlife conservation, novel biomarkers, societal well-being, and cutting-edge clinical practice and specialization. Frontiers in Veterinary Science brings a 21st-century approach—networked, collaborative, and Open Access—to communicate this progress and innovation to both the specialist and to the wider audience of readers in the field.
Frontiers in Veterinary Science publishes articles on outstanding discoveries across a wide spectrum of translational, foundational, and clinical research. The journal''s mission is to bring all relevant veterinary sciences together on a single platform with the goal of improving animal and human health.