naa a22 4500 53006006X 20181025071938.0 cr unu---uuuuu 181025s2018 xx s 000 0 eng 2049-9957 10.1186/s40249-018-0480-x doi (EDOC)oai:edoc.unibas.ch:66265 30305184 pmid Identifying key bird species and geographical hotspots of avian influenza A (H7N9) virus in China [Elektronische Daten] [Benyun Shi, Xiao-Ming Zhan, Jin-Xin Zheng, Hongjun Qiu, Dan Liang, Yan-Ming Ye, Guo-Jing Yang, Yang Liu, Jiming Liu] In China since the first human infection of avian influenza A (H7N9) virus was identified in 2013, it has caused serious public health concerns due to its wide spread and high mortality rate. Evidence shows that bird migration plays an essential role in global spread of avian influenza viruses. Accordingly, in this paper, we aim to identify key bird species and geographical hotspots that are relevant to the transmission of avian influenza A (H7N9) virus in China.; We first conducted phylogenetic analysis on 626 viral sequences of avian influenza A (H7N9) virus isolated in chicken, which were collected from the Global Initiative on Sharing All Influenza Data (GISAID), to reveal geographical spread and molecular evolution of the virus in China. Then, we adopted the cross correlation function (CCF) to explore the relationship between the identified influenza A (H7N9) cases and the spatiotemporal distribution of migratory birds. Here, the spatiotemporal distribution of bird species was generated based on bird observation data collected from China Bird Reports, which consists of 157 272 observation records about 1145 bird species. Finally, we employed a kernel density estimator to identify geographical hotspots of bird habitat/stopover that are relevant to the influenza A (H7N9) infections.; Phylogenetic analysis reveals the evolutionary and geographical patterns of influenza A (H7N9) infections, where cases in the same or nearby municipality/provinces are clustered together with small evolutionary differences. Moreover, three epidemic waves in chicken along the East Asian-Australasian flyway in China are distinguished from the phylogenetic tree. The CCF analysis identifies possible migratory bird species that are relevant to the influenza A(H7N9) infections in Shanghai, Jiangsu, Zhejiang, Fujian, Jiangxi, and Guangdong in China, where the six municipality/provinces account for 91.2% of the total number of isolated H7N9 cases in chicken in GISAID. Based on the spatial distribution of identified bird species, geographical hotspots are further estimated and illustrated within these typical municipality/provinces.; In this paper, we have identified key bird species and geographical hotspots that are relevant to the spread of influenza A (H7N9) virus. The results and findings could provide sentinel signal and evidence for active surveillance, as well as strategic control of influenza A (H7N9) transmission in China. Shi Benyun joint author Zhan Xiao-Ming joint author Zheng Jin-Xin joint author Qiu Hongjun joint author Liang Dan joint author Ye Yan-Ming joint author Yang Guo-Jing joint author Liu Yang joint author Liu Jiming joint author Infectious Diseases of Poverty 7 (1), p. 97 2049-9957 https://edoc.unibas.ch/66265/1/20181023094121_5bced0a1d66cc.pdf text/html WWW-Backlink auf das Repository 1 Article edoc PeerReviewed edoc peerstatus EDOC 856 40 https://edoc.unibas.ch/66265/1/20181023094121_5bced0a1d66cc.pdf text/html WWW-Backlink auf das Repository EDOC 700 1- Shi Benyun joint author EDOC 700 1- Zhan Xiao-Ming joint author EDOC 700 1- Zheng Jin-Xin joint author EDOC 700 1- Qiu Hongjun joint author EDOC 700 1- Liang Dan joint author EDOC 700 1- Ye Yan-Ming joint author EDOC 700 1- Yang Guo-Jing joint author EDOC 700 1- Liu Yang joint author EDOC 700 1- Liu Jiming joint author EDOC 773 0- Infectious Diseases of Poverty 7 (1), p. 97 2049-9957 BK010053 XK010053 XK010000 EDOC EDOC EDOC Article