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摘要:
目的 以中国31个省(自治区、直辖市)为研究区域,探究其2004—2019年H5N1亚型高致病禽流感发生次数时空分布特征。 方法 基于ArcGIS 10.5软件和SPSS 26.0软件,应用聚类分析和χ2检验研究H5N1疫病的时间分布特征和影响因素。应用空间自相关方法研究H5N1疫病的空间分布特征。 结果 通过时间聚类分析,得到在疫情流行阶段(2004—2005年)和平稳阶段(2006—2019年),H5N1疫情暴发次数在时间分布上都存在聚集性,其中1月、2月、6月和11月为疫病的高发期。通过全局空间自相关分析,发现疫情流行阶段H5N1空间分布呈聚集性,疫情平稳阶段呈现随机分布。通过局部自相关分析,表明流行阶段H5N1热点地区集中在中国中部地区,主要包括乌鲁木齐、咸宁、岳阳、安庆、九江等市,平稳阶段的热点地区主要集中在中国西北部。χ2检验显示疫病发生与候鸟迁徙具有相关关系。 结论 中国H5N1禽流感在流行阶段具有时空聚集性,在平稳阶段仅具有一定的时间聚集性。 Abstract:Objective To explore the spatiotemporal distribution characteristics of the frequency of H5N1 subtype highly pathogenic avian influenza from 2004 to 2019 in 31 autonomous regions and municipalities directly under the central government in mainland China. Methods Based on ArcGIS10.5 and SPSS 26 software, cluster analysis and chi-square test were applied to investigate the temporal distribution characteristics and influencing factors of H5N1 epidemic disease. The spatial autocorrelation method was applied to study the spatial distribution characteristics of H5N1 epidemic diseases. Results Temporal cluster analysis showed that the frequency of H5N1 outbreak was clustering in the temporal distribution during both the epidemic phase (2004-2005) and the stationary phase (2006-2019), with January, February, June, and November being periods of high incidence of the disease. Global spatial autocorrelation analysis showed that the spatial distribution of H5N1 was clustering during the epidemic phase and presented a random distribution during the stationary phase of the epidemic. Local autocorrelation analysis showed that H5N1 hotspot areas in the epidemic stage were concentrated in Xinjiang and central China, mainly including Urumqi, Xianning, Yueyang, Anqing, and Jiujiang, and hotspot areas in the stable stage were mainly concentrated in northwest China. Chi-square test showed that there was a correlation between epidemic disease and bird migration. Conclusion The frequency of H5N1 avian influenza in mainland China has spatiotemporal clustering in the epidemic stage and only certain temporal clustering in the stable stage. -
表 1 中国2004—2019年H5N1暴发热点分析结果
Table 1. The results of hot spot analysis about H5N1 outbreaks in mainland China from 2004 to 2019
年份 省/市地区Z值 >1.96(热点区域) < -1.96(冷点区域) 2004 河南:驻马店、信阳;湖北:随州、孝感、天门、潜江、荆州、仙桃、武汉、黄冈、鄂州、黄石;安徽:六安、安庆、池州、芜湖、宣城、黄山;浙江:杭州;湖南:岳阳、益阳、长沙、湘潭、株洲、郴州、永州;江西:除上饶外全部地区;福建:南平;广东:韶关、清远、肇庆、佛山、云浮、江门;云南:怒江州、保山、临沧、普洱、西双版纳、文山州 四川:绵阳、德阳、成都、遂宁、资阳、眉山、内江;重庆 2005 新疆:除克孜勒苏柯尔克孜州外全部地区;黑龙江:大兴安岭地区 陕西:汉中;四川:绵阳、遂宁、资阳、内江、自贡、广元、巴中、南充、广安;重庆;贵州:遵义 2006 新疆:阿克苏、喀什、和田地区;西藏:全区;青海:除海西州、黄南州外全部地区;甘肃:金昌、兰州、临夏州;内蒙古:阿拉善盟、乌海、鄂尔多斯;陕西:榆林 2007 新疆:昌吉、库尔勒、奎屯、石河子、乌鲁木齐、吐鲁番、哈密;西藏:除阿里地区、昌都外全部地区;湖南:株洲、永州;江西:萍乡、赣州;广西:桂林、柳州、贺州;广东:清远、韶关 2008 西藏:除阿里地区外全部地区;青海:玉树州;广西:桂林、柳州、钦州、北海;广东:潮州、汕头、揭阳、汕尾、深圳、珠海、湛江 2009 新疆:阿克苏、喀什、和田地区;西藏:除昌都外全部地区;甘肃:嘉峪关、金昌、张掖;青海:海北州、海南州、果洛藏族州、黄南州、西宁 2011 西藏:除阿里地区、昌都外全部地区 2012 新疆:哈密、吐鲁番、乌鲁木齐、昌吉、塔城、石河子、奎屯、克拉玛依、阿勒泰;青海:西宁、海东州、黄南州;甘肃:金昌、武威、白银、兰州、临夏州、甘南州、定西、天水、平凉、庆阳;宁夏:全区;内蒙古:鄂尔多斯;陕西:榆林 2013 西藏:林芝;贵州:黔南州 2014 四川:凉山州、攀枝花;云南:除丽江、迪庆州外全部地区;贵州:毕节、六盘水、安顺、黔西南州;广西:白色 2015 河南:信阳;安徽:毫州、阜阳;江苏:常州;浙江:湖州、杭州、金华、衢州、丽水 2016 四川:凉山州、雅安、眉山、资阳、乐山、内江、自贡、宜宾、泸州、攀枝花;重庆;贵州:全省;云南:丽江、昭通、楚雄州、玉溪、红河州、昆明、曲靖、文山州;广西:柳州、河池、百色、崇左 2017 黑龙江:大庆;吉林:除延边州、白山外全部地区;辽宁:全省;内蒙古:兴安盟、通辽、赤峰;河北:承德、秦皇岛 2018 青海:海西州、玉树州;甘肃:酒泉、嘉峪关 2019 吉林:除延边州外全部地区;辽宁:全省;河北:承德、秦皇岛、唐山 表 2 H5N1发生时间与候鸟迁徙途经及滞留时间的χ2检验结果
Table 2. The results of chi-square test about the time when H5N1 occurred and migratory birds migrated
省/自治区 次数/年 H5N1发生时间 候鸟迁徙途经或滞留时间 检验方法 χ2值 P值 西藏 8 12-5月 越冬地:每年11月至次年4月下旬 Pearsonχ2检验 7.768 0.005 贵州 6 12-2月 越冬地:每年12月至次年3月 连续性校正χ2检验 5.114 0.024 新疆 5 2-11月 繁殖地:每年6月至8月; 越冬地:每年11月至次年2月 3.886 0.049 青海 4 4-6月 繁殖地:每年4月至6月 — 16.254 0.000 辽宁 4 4月 过境北迁:每年3月至5月 Fisher确切概率法 0.001 -
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