Analysis on spatial epidemiological characteristics of human infection with avian influenza A(H7N9) virus in Fujian Province
10.16462/j.cnki.zhjbkz.2019.08.006
- Author:
Guang-min CHEN
1
;
Kui-cheng ZHENG
;
Jian-feng XIE
;
Jian-ming OU
;
Han-song ZHU
Author Information
1. Fujian Provincial Center for Disease Control and Prevention, Fujian Provincial Key Laboratory of Zoonosis Research, Fuzhou 350001, China
- Publication Type:Research Article
- Keywords:
Human infection with avian influenza A(H7N9);
Spatial-temporal cluster;
Spatial-temporal scanning
- From:
Chinese Journal of Disease Control & Prevention
2019;23(8):911-915,937
- CountryChina
- Language:Chinese
-
Abstract:
Objective The aim is to analyze the spatial epidemiological characteristics for human infection with avian influenza H7N9 in Fujian Province, so as to provide scientific evidence for developing and adjusting related control strategies. Methods The epidemiological data of human infection with H7N9 avian influenza in Fujian Province, from 2013 to 2017 was analyzed by SAS 9.2, ArcGIS 10.3 and SaTScan 9.4 software.Results There were a total of 108 cases and 28 deaths reported in Fujian Province, up to December 31, 2017. The case fatality rate was 25.93%.96.30% of cases were sporadic. There were more incidences in winters and springs, more incidences in rural areas. The global spatial autocorrelation and high/low clustering analysis indicated that clusters at the county level were in the shore areas (Z=3.74, P<0.001; Z=5.26, P<0.001). The cities of Changle, Fuqing, Jinjiang and Siming were the high-high clustered areas and local hot-points. There were two clusters, from December 2014 to March 2015, the most likely cluster regions was centered around Zhangpu County with a radius of 63.04 km (RR=4.72, LLR=11.41, P<0.001). The secondary cluster regions was centered around Fuqing City with a radius of 81.98 km (RR=4.07, LLR=7.96, P=0.037). Conclusions Human infection with avian influenza H7N9 in Fujian Province is spatially and temporally clustered. The measures of prevention and control should be focused on high incidence seasons and key regions, and the surveillance of etiology should be strengthened.
