中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Infection and risk factors of human and avian influenza in pigs in south China

文献类型:期刊论文

作者Ding, Fangyu1,2,3; Li, Yin4,5; Huang, Baoxu4,5; Edwards, John4,5; Cai, Chang6; Zhang, Guihong7; Jiang, Dong1,2,3,8; Wang, Qian1,2,3; Robertson, Ian D.4,9
刊名PREVENTIVE VETERINARY MEDICINE
出版日期2021-05-01
卷号190页码:10
关键词Swine influenza Pandemic potential Spatial predictor variables Risk maps
ISSN号0167-5877
DOI10.1016/j.prevetmed.2021.105317
通讯作者Jiang, Dong(jiangd@igsnrr.ac.cn) ; Wang, Qian(wangq.17s@igsnrr.ac.cn) ; Robertson, Ian D.(I.Robertson@murdoch.edu.au)
英文摘要The coinfection of swine influenza (SI) strains and avian/human-source influenza strains in piggeries can contribute to the evolution of new influenza viruses with pandemic potential. This study analyzed surveillance data on SI in south China and explored the spatial predictor variables associated with different influenza infection scenarios in counties within the study area. Blood samples were collected from 7670 pigs from 534 pig farms from 2015 to 2017 and tested for evidence of infection with influenza strains from swine, human and avian sources. The herd prevalences for EA H1N1, H1N1pdm09, classic H1N1, HS-like H3N2, seasonal human H1N1 and avian influenza H9N2 were 88.5, 64.5, 60.3, 57.8, 12.9 and 10.3 %, respectively. Anthropogenic factors including detection frequency, chicken density, duck density, pig density and human population density were found to be better predictor variables for three influenza infection scenarios (infection with human strains, infection with avian strains, and coinfection with H9N2 avian strain and at least one swine strain) than were meteorological and geographical factors. Predictive risk maps generated for the four provinces in south China highlighted that the areas with a higher risk of the three infection scenarios were predominantly clustered in the delta area of the Pearl River in Guangdong province and counties surrounding Poyang Lake in Jiangxi province. Identification of higher risk areas can inform targeted surveillance for influenza in humans and pigs, helping public health authorities in designing risk-based SI control strategies to address the pandemic influenza threat in south China.
WOS关键词A H1N1 VIRUS ; SWINE FARMS ; INTERSPECIES TRANSMISSION ; H5N1 VIRUS ; EVOLUTION ; SURVEILLANCE ; REASSORTMENT ; POULTRY ; HEALTH ; H7N9
资助项目National Key R&D Program of China[2020YFC1807404] ; National Key R&D Program of China[2017YFC1200500] ; Murdoch University
WOS研究方向Veterinary Sciences
语种英语
WOS记录号WOS:000641974800011
出版者ELSEVIER
资助机构National Key R&D Program of China ; Murdoch University
源URL[http://ir.igsnrr.ac.cn/handle/311030/161622]  
专题中国科学院地理科学与资源研究所
通讯作者Jiang, Dong; Wang, Qian; Robertson, Ian D.
作者单位1.Chinese Acad Sci, Nat Resources Res, Beijing 100101, Peoples R China
2.Chinese Acad Sci, Inst Geog Sci, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China
3.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China
4.Murdoch Univ, Sch Vet Med, Perth, WA, Australia
5.China Anim Hlth & Epidemiol Ctr, Qingdao, Shandong, Peoples R China
6.Zhejiang Agr & Forestry Univ, Hangzhou, Peoples R China
7.South China Agr Univ, Guangzhou, Guangdong, Peoples R China
8.Minist Land & Resources, Key Lab Carrying Capac Assessment Resource & Envi, Beijing 100101, Peoples R China
9.Huazhong Agr Univ, Coll Vet Med, China Australia Joint Res & Training Ctr Vet Epid, Wuhan, Hubei, Peoples R China
推荐引用方式
GB/T 7714
Ding, Fangyu,Li, Yin,Huang, Baoxu,et al. Infection and risk factors of human and avian influenza in pigs in south China[J]. PREVENTIVE VETERINARY MEDICINE,2021,190:10.
APA Ding, Fangyu.,Li, Yin.,Huang, Baoxu.,Edwards, John.,Cai, Chang.,...&Robertson, Ian D..(2021).Infection and risk factors of human and avian influenza in pigs in south China.PREVENTIVE VETERINARY MEDICINE,190,10.
MLA Ding, Fangyu,et al."Infection and risk factors of human and avian influenza in pigs in south China".PREVENTIVE VETERINARY MEDICINE 190(2021):10.

入库方式: OAI收割

来源:地理科学与资源研究所

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