中华流行病学杂志
中華流行病學雜誌
중화류행병학잡지
CHINESE JOURNAL OF EPIDEMIOLOGY
2014年
8期
925-929
,共5页
杨丽%寇增强%毕振旺%张鲁燕%郑丽%赵仲堂
楊麗%寇增彊%畢振旺%張魯燕%鄭麗%趙仲堂
양려%구증강%필진왕%장로연%정려%조중당
布鲁氏菌病%时空分布%流行病学
佈魯氏菌病%時空分佈%流行病學
포로씨균병%시공분포%류행병학
Brucellosis%Spatial and temporal distribution%Epidemiology
目的 探索山东省布鲁氏菌病(布病)的时空分布特征.方法 以2004-2012年山东省疾病报告信息系统中收集的1 802例实验室确诊布病患者为研究对象.运用空间专题制图、空间聚集性分析及时间聚集性分析,探讨其时空分布特征.结果 2004-2012年山东省布病发病率由0.038 2/10万(35例)上升至0.620 5/10万(598例),年均发病率为0.211 1/10万.集中度分布M=0.375 3,3-6月高发(56.27%,1 014/1 802).布病发病率的全局Moran's I指数值为0.198 901(P=0.000 120),表明布病发病率在全省范围内存在空间正相关性.2006、2007、2009-2012年山东省布病发病率为空间正相关.局部空间自相关分析(LISA)发现8个县(区)为“高高”(HH)聚集,经LISA可视化显示,山东省西南部和北部为高发区,与发病率较高地区空间分布一致.一类聚集区是以鄄城县为中心点、辐射半径为33.83km,RR=9.78;二类聚集区是以滨州市滨城区为中心点、辐射半径为62.78km,RR=4.99,8处HH区均在两类聚集区域内.结论 2004-2012年山东省布病发病率上升明显,3-6月为流行高峰期,各县(区)发病率水平的空间分布非完全随机性,存在空间正相关,具有明显聚集性.
目的 探索山東省佈魯氏菌病(佈病)的時空分佈特徵.方法 以2004-2012年山東省疾病報告信息繫統中收集的1 802例實驗室確診佈病患者為研究對象.運用空間專題製圖、空間聚集性分析及時間聚集性分析,探討其時空分佈特徵.結果 2004-2012年山東省佈病髮病率由0.038 2/10萬(35例)上升至0.620 5/10萬(598例),年均髮病率為0.211 1/10萬.集中度分佈M=0.375 3,3-6月高髮(56.27%,1 014/1 802).佈病髮病率的全跼Moran's I指數值為0.198 901(P=0.000 120),錶明佈病髮病率在全省範圍內存在空間正相關性.2006、2007、2009-2012年山東省佈病髮病率為空間正相關.跼部空間自相關分析(LISA)髮現8箇縣(區)為“高高”(HH)聚集,經LISA可視化顯示,山東省西南部和北部為高髮區,與髮病率較高地區空間分佈一緻.一類聚集區是以鄄城縣為中心點、輻射半徑為33.83km,RR=9.78;二類聚集區是以濱州市濱城區為中心點、輻射半徑為62.78km,RR=4.99,8處HH區均在兩類聚集區域內.結論 2004-2012年山東省佈病髮病率上升明顯,3-6月為流行高峰期,各縣(區)髮病率水平的空間分佈非完全隨機性,存在空間正相關,具有明顯聚集性.
목적 탐색산동성포로씨균병(포병)적시공분포특정.방법 이2004-2012년산동성질병보고신식계통중수집적1 802례실험실학진포병환자위연구대상.운용공간전제제도、공간취집성분석급시간취집성분석,탐토기시공분포특정.결과 2004-2012년산동성포병발병솔유0.038 2/10만(35례)상승지0.620 5/10만(598례),년균발병솔위0.211 1/10만.집중도분포M=0.375 3,3-6월고발(56.27%,1 014/1 802).포병발병솔적전국Moran's I지수치위0.198 901(P=0.000 120),표명포병발병솔재전성범위내존재공간정상관성.2006、2007、2009-2012년산동성포병발병솔위공간정상관.국부공간자상관분석(LISA)발현8개현(구)위“고고”(HH)취집,경LISA가시화현시,산동성서남부화북부위고발구,여발병솔교고지구공간분포일치.일류취집구시이견성현위중심점、복사반경위33.83km,RR=9.78;이류취집구시이빈주시빈성구위중심점、복사반경위62.78km,RR=4.99,8처HH구균재량류취집구역내.결론 2004-2012년산동성포병발병솔상승명현,3-6월위류행고봉기,각현(구)발병솔수평적공간분포비완전수궤성,존재공간정상관,구유명현취집성.
Objective To explore the spatial and temporal characteristics of human brucellosis in Shandong province and to provide scientific basis for the development of related regional public health strategies.Methods 1 802 diagnosed cases of human brucellosis patients were selected based on the data that was collected by Diseases Reporting Information System between year 2004 and 2012 in Shandong province.Methods on spatial thematic mapping,spatial autocorrelation analysis,spatial clustering analysis,and temporal clustering analysis were applied to describe the temporal and spatial distribution on human brucellosis cases.Results The incidence rate of human brucellosis increased from 0.038 2/100 000 (35 cases) to 0.620 5/100 000 (598 cases),with annual average incidence rate as 0.211 1/100 000 and the incidence was evidently increased.The value of M (0.375 3) showed that this disease was seasonal,with the epidemic months between March and June,accounting for 56.27% (1 014/1 802).The Global Moran' s I index was 0.198 901 (P=0.000 120),showing that there was a positive correlation between space and the incidence of brucellosis.The incidence rates in 2006,2007,2009 and 2012 and the space distribution appeared a positive correlation (P<0.05) in Shandong province.The local Moran's I index showed that there were 8 “High-High” (HH) clustering areas,which were proved to have statistical significance (P<0.05).Local indicators of spatial association (LISA) revealed that southwest and north districts of Shandong were highly clustered districts of brucellosis and the areas paralleled to the areas that having higher incidence rates.There were two spatial clustering areas in this study,one as the center of Juanchen with radiation radius at 33.83 km whose RR was 9.78 (P<0.05) and the other was the center of Binchen with radiation radius at 62.78 km with RR as 4.99 (P<0.05).All the 8 HH counties (districts) were included in the two cluster regions.Conclusion Incidence of human brucellosis showed an obvious increase in Shandong during year 2004-2012.Months with epidemics were between March and June.The incidence of brucellosis in counties (districts) was non-randomly distributed.A positive spatial correlation and the feature of clusters was noticed.