Wentao Song , Fenglan He , Zhiqiang Deng , Maohong Hu , Kang Fang , Wenjuan Cheng , Jingwen Wu , Xi Wang , Guoyin Fan , Lingyan Kong , Yisheng Zhou , Kangguo Li , Buasiyamu Abudunaibi , Xiuhua Kang , Tianxin Xiang , Hui Li , Tianmu Chen
{"title":"家禽中禽流感病毒动态与环境:中国西南鄱阳湖地区8年纵向研究","authors":"Wentao Song , Fenglan He , Zhiqiang Deng , Maohong Hu , Kang Fang , Wenjuan Cheng , Jingwen Wu , Xi Wang , Guoyin Fan , Lingyan Kong , Yisheng Zhou , Kangguo Li , Buasiyamu Abudunaibi , Xiuhua Kang , Tianxin Xiang , Hui Li , Tianmu Chen","doi":"10.1016/j.idm.2025.06.002","DOIUrl":null,"url":null,"abstract":"<div><div>Surveillance of the Avian influenza virus serves as the first line of defense, encompassing monitoring of both animals and environment. These approaches vary across countries due to differences in epidemiology and public health policies. We conducted an eight-year active surveillance program in the Poyang Lake region, a critical wintering site along the East Asian-Australasian Flyway, to investigate the correlation between poultry and environmental samples. From February 2017 to June 2024, 7570 poultry and environmental samples were collected and tested in Nanchang, the largest city in the Poyang Lake region, revealing an overall avian influenza positivity rate of 40.1 %. In 2017, the poultry and environmental positivity rates were 16.9 % and 15.5 %, respectively. By 2024, these rates had risen to 69.4 % and 77.7 %, respectively, with significant and consistent annual increases observed in both environmental and poultry samples. Specifically, in poultry surveillance, chickens (54.2 %) showed higher overall AIV positivity rates compared to ducks (30.6 %), and oropharyngeal swabs (45.5 %) demonstrated greater sensitivity than cloacal swabs (22.3 %). Analysis of environmental samples revealed that, compared with smear samples (39.0 %) and fecal samples (30.9 %), sewage samples (46.5 %) exhibit superior sensitivity. Correlation and wavelet coherence analyses revealed a significant relationship between environmental and poultry samples. In scenarios where poultry sampling is unavailable, environmental surveillance can complement and potentially serve as an alternative to poultry surveillance.</div></div>","PeriodicalId":36831,"journal":{"name":"Infectious Disease Modelling","volume":"10 4","pages":"Pages 1126-1137"},"PeriodicalIF":8.8000,"publicationDate":"2025-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Avian influenza virus dynamics in poultry and the environment: an eight-year longitudinal study in the southwestern Poyang Lake region of China\",\"authors\":\"Wentao Song , Fenglan He , Zhiqiang Deng , Maohong Hu , Kang Fang , Wenjuan Cheng , Jingwen Wu , Xi Wang , Guoyin Fan , Lingyan Kong , Yisheng Zhou , Kangguo Li , Buasiyamu Abudunaibi , Xiuhua Kang , Tianxin Xiang , Hui Li , Tianmu Chen\",\"doi\":\"10.1016/j.idm.2025.06.002\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Surveillance of the Avian influenza virus serves as the first line of defense, encompassing monitoring of both animals and environment. These approaches vary across countries due to differences in epidemiology and public health policies. We conducted an eight-year active surveillance program in the Poyang Lake region, a critical wintering site along the East Asian-Australasian Flyway, to investigate the correlation between poultry and environmental samples. From February 2017 to June 2024, 7570 poultry and environmental samples were collected and tested in Nanchang, the largest city in the Poyang Lake region, revealing an overall avian influenza positivity rate of 40.1 %. In 2017, the poultry and environmental positivity rates were 16.9 % and 15.5 %, respectively. By 2024, these rates had risen to 69.4 % and 77.7 %, respectively, with significant and consistent annual increases observed in both environmental and poultry samples. Specifically, in poultry surveillance, chickens (54.2 %) showed higher overall AIV positivity rates compared to ducks (30.6 %), and oropharyngeal swabs (45.5 %) demonstrated greater sensitivity than cloacal swabs (22.3 %). Analysis of environmental samples revealed that, compared with smear samples (39.0 %) and fecal samples (30.9 %), sewage samples (46.5 %) exhibit superior sensitivity. Correlation and wavelet coherence analyses revealed a significant relationship between environmental and poultry samples. In scenarios where poultry sampling is unavailable, environmental surveillance can complement and potentially serve as an alternative to poultry surveillance.</div></div>\",\"PeriodicalId\":36831,\"journal\":{\"name\":\"Infectious Disease Modelling\",\"volume\":\"10 4\",\"pages\":\"Pages 1126-1137\"},\"PeriodicalIF\":8.8000,\"publicationDate\":\"2025-06-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Infectious Disease Modelling\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2468042725000521\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"Medicine\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Infectious Disease Modelling","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2468042725000521","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Medicine","Score":null,"Total":0}
Avian influenza virus dynamics in poultry and the environment: an eight-year longitudinal study in the southwestern Poyang Lake region of China
Surveillance of the Avian influenza virus serves as the first line of defense, encompassing monitoring of both animals and environment. These approaches vary across countries due to differences in epidemiology and public health policies. We conducted an eight-year active surveillance program in the Poyang Lake region, a critical wintering site along the East Asian-Australasian Flyway, to investigate the correlation between poultry and environmental samples. From February 2017 to June 2024, 7570 poultry and environmental samples were collected and tested in Nanchang, the largest city in the Poyang Lake region, revealing an overall avian influenza positivity rate of 40.1 %. In 2017, the poultry and environmental positivity rates were 16.9 % and 15.5 %, respectively. By 2024, these rates had risen to 69.4 % and 77.7 %, respectively, with significant and consistent annual increases observed in both environmental and poultry samples. Specifically, in poultry surveillance, chickens (54.2 %) showed higher overall AIV positivity rates compared to ducks (30.6 %), and oropharyngeal swabs (45.5 %) demonstrated greater sensitivity than cloacal swabs (22.3 %). Analysis of environmental samples revealed that, compared with smear samples (39.0 %) and fecal samples (30.9 %), sewage samples (46.5 %) exhibit superior sensitivity. Correlation and wavelet coherence analyses revealed a significant relationship between environmental and poultry samples. In scenarios where poultry sampling is unavailable, environmental surveillance can complement and potentially serve as an alternative to poultry surveillance.
期刊介绍:
Infectious Disease Modelling is an open access journal that undergoes peer-review. Its main objective is to facilitate research that combines mathematical modelling, retrieval and analysis of infection disease data, and public health decision support. The journal actively encourages original research that improves this interface, as well as review articles that highlight innovative methodologies relevant to data collection, informatics, and policy making in the field of public health.