Dong Wen, Yang Kun, Xu Quanli, Liu Lin, Chen Juan
School of Information Science and Technology, Yunnan Normal University, Kunming, Yunnan, China.
GIS Technology Engineering Research Centre for West-China Resources and Environment of Educational Ministry, Yunnan Normal University, Kunming, Yunnan, China.
BMC Infect Dis. 2017 Oct 24;17(1):704. doi: 10.1186/s12879-017-2781-2.
A large number (n = 460) of A(H7N9) human infections have been reported in China from March 2013 through December 2014, and H7N9 outbreaks in humans became an emerging issue for China health, which have caused numerous disease outbreaks in domestic poultry and wild bird populations, and threatened human health severely. The aims of this study were to investigate the directional trend of the epidemic and to identify the significant presence of spatial-temporal clustering of influenza A(H7N9) human cases between March 2013 and December 2014.
Three distinct epidemic phases of A(H7N9) human infections were identified in this study. In each phase, standard deviational ellipse analysis was conducted to examine the directional trend of disease spreading, and retrospective space-time permutation scan statistic was then used to identify the spatio-temporal cluster patterns of H7N9 outbreaks in humans.
The ever-changing location and the increasing size of the three identified standard deviational ellipses showed that the epidemic moved from east to southeast coast, and hence to some central regions, with a future epidemiological trend of continue dispersing to more central regions of China, and a few new human cases might also appear in parts of the western China. Furthermore, A(H7N9) human infections were clustering in space and time in the first two phases with five significant spatio-temporal clusters (p < 0.05), but there was no significant cluster identified in phase III.
There was a new epidemiologic pattern that the decrease in significant spatio-temporal cluster of A(H7N9) human infections was accompanied with an obvious spatial expansion of the outbreaks during the study period, and identification of the spatio-temporal patterns of the epidemic can provide valuable insights for better understanding the spreading dynamics of the disease in China.
2013年3月至2014年12月期间,中国报告了大量(n = 460)人感染甲型H7N9流感病例,H7N9人间疫情爆发成为中国卫生领域的一个新问题,该疫情已在家禽和野鸟种群中引发了众多疾病爆发,并严重威胁人类健康。本研究的目的是调查疫情的发展趋势,并确定2013年3月至2014年12月期间甲型H7N9流感人间病例的时空聚集显著情况。
本研究确定了甲型H7N9流感人间感染的三个不同流行阶段。在每个阶段,进行标准差椭圆分析以检查疾病传播的方向趋势,然后使用回顾性时空置换扫描统计量来确定甲型H7N9流感人间疫情爆发的时空聚集模式。
三个确定的标准差椭圆位置不断变化且面积不断增大,表明疫情从东部向东南沿海,进而向一些中部地区移动,未来的流行病学趋势是继续向中国更中部地区扩散,中国西部部分地区也可能出现一些新的人间病例。此外,甲型H7N9流感人间感染在前两个阶段在空间和时间上呈聚集状态,有五个显著的时空聚集区(p < 0.05),但在第三阶段未发现显著聚集区。
在研究期间,出现了一种新的流行病学模式,即甲型H7N9流感人间感染显著时空聚集的减少伴随着疫情明显的空间扩展,确定疫情的时空模式可为更好地了解该疾病在中国的传播动态提供有价值的见解。