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Characterization of influenza seasonality in China, 2010-2018: Implications for seasonal influenza vaccination timing

文献类型：期刊论文

作者Liao, Yilan1; Xue, Shan1,2; Xie, Yiran3; Zhang, Yanping4; Wang, Dayan3; Zhao, Tong1,2; Du, Wei5; Chen, Tao3; Miao, Hui7; Qin, Ying4
刊名INFLUENZA AND OTHER RESPIRATORY VIRUSES
出版日期2022-09-05
页码11
ISSN号1750-2640
关键词China influenza seasonality spatial heterogeneity vaccination
DOI10.1111/irv.13047
通讯作者Peng, Zhibin(pengzb@chinacdc.cn) ; Yu, Jianxing(yujianxing@icdc.cn)
英文摘要Background Optimizing the timing of influenza vaccination based on regional temporal seasonal influenza illness patterns may make seasonal influenza vaccination more effective in China. Methods We obtained provincial weekly influenza surveillance data for 30 of 31 provinces in mainland China from the Chinese Center for Disease Control and Prevention for the years 2010-2018. Influenza epidemiological regions were constructed by clustering analysis. For each region, we calculated onset date, end date, and duration of seasonal influenza epidemics by the modified mean threshold method. To help identify initial vaccination target populations, we acquired weekly influenza surveillance data for four age groups (0-4, 5-18, 19-59, and >= 60 years) in each region and in 171 cities of wide-ranging size. We used linear regression analyses to explore the association of epidemic onset dates by age group, city, and epidemiological region and provide evidence for initial target populations for seasonal influenza vaccination. Results We determined that northern, mid, southwestern, southeast regions of mainland China have distinct seasonal influenza epidemic patterns. We found significant regional, temporal, and spatial heterogeneity of seasonal influenza epidemics. There were significant differences by age group and city size in the interval between epidemic onset in the city or age group and regional spread (epidemic lead time), with longer epidemic lead times for 5- to 18-year-old children and larger cities. Conclusions Knowledge of influenza epidemic characteristics may help optimize local influenza vaccination timing and identify initial target groups for seasonal influenza vaccination in mainland China. Similar analyses may help inform seasonal influenza vaccination strategies in other regions and countries.
WOS关键词RESPIRATORY MORTALITY ; UNITED-STATES
资助项目National Natural Science Foundation of China[42171419] ; National Natural Science Foundation of China[91846302]
WOS研究方向Infectious Diseases ; Virology
语种英语
出版者WILEY
WOS记录号WOS:000849768100001
资助机构National Natural Science Foundation of China
源URL[http://ir.igsnrr.ac.cn/handle/311030/182246]  
专题中国科学院地理科学与资源研究所
通讯作者Peng, Zhibin; Yu, Jianxing
作者单位1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing, Peoples R China
2.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing, Peoples R China
3.Chinese Ctr Dis Control & Prevent, Natl Inst Viral Dis Control & Prevent, Chinese Natl Influenza Ctr, Beijing, Peoples R China
4.Chinese Ctr Dis Control & Prevent, Div Infect Dis, 155 Changbai Rd, Beijing 102206, Peoples R China
5.Southeast Univ, Sch Publ Hlth, Nanjing, Peoples R China
6.Chinese Ctr Dis Control & Prevent, Natl Inst Communicable Dis Control & Prevent, 155 Changbai Rd, Beijing 102206, Peoples R China
7.Ohio State Univ, Coll Art & Sci, Columbus, OH 43210 USA
推荐引用方式
GB/T 7714		 Liao, Yilan,Xue, Shan,Xie, Yiran,et al. Characterization of influenza seasonality in China, 2010-2018: Implications for seasonal influenza vaccination timing[J]. INFLUENZA AND OTHER RESPIRATORY VIRUSES,2022:11.
APA Liao, Yilan.,Xue, Shan.,Xie, Yiran.,Zhang, Yanping.,Wang, Dayan.,...&Yu, Jianxing.(2022).Characterization of influenza seasonality in China, 2010-2018: Implications for seasonal influenza vaccination timing.INFLUENZA AND OTHER RESPIRATORY VIRUSES,11.
MLA Liao, Yilan,et al."Characterization of influenza seasonality in China, 2010-2018: Implications for seasonal influenza vaccination timing".INFLUENZA AND OTHER RESPIRATORY VIRUSES (2022):11.

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来源：地理科学与资源研究所

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