安徽池州市晚期血吸虫病流行状况的空间分析
摘要
目的探讨池州市晚期血吸虫病(晚血)的流行状况和空间分布特征。方法以寄生虫病信息管理系统2013年报告的池州市晚血患者为研究对象,分别建立晚血个案数据库与基于乡镇的空间数据库。在描述分析晚血分布基本特征的基础上,基于Arcgis10.2,运用全局空间自相关(Moran's I)、局部空间自相关(Local Moran's I,LISA)与(Getis-Ord Gi*)分析乡级尺度上晚血空间分布特征。结果 2013年池州市共有晚血患者1 855例,患病率为0.11%;患者年龄12~93岁,多为55岁以上,占76.0%(1 410/1 855);男性占51.3%(952/1 855),女性占48.7%(903/1 855),男女比为1.05:1;患者的职业以农民为主,占86.6%(1 607/1 855);文化程度以文盲和小学程度为主,分别占48.4%(898/1 855)和35.6%(661/1 855);晚血分型以腹水型83.9%(1 557/1 885)为主;首次确诊年份在2000~2009年的占61.0%(1 131/1 855)。全局空间自相关结果显示,总体研究区域上晚血患病率存在空间自相关(Moran's I=0.215 6,P<0.01);局部空间自相关结果显示,LISA分析与Getis-Ord Gi*分析均探测出相同的5个晚血患病率高值聚集且具有统计学意义乡镇(P<0.05),这些乡镇均位于池州市东至县。结论池州市晚血以中老年的农民为主,晚血分型以腹水型为主。晚血分布存在空间自相关,有5个高值聚集乡镇,该些乡镇均为东至县的疫情较重乡镇。分析结果为池州市晚血的控制提供了线索与依据。
Objective To understand the prevalence situation and spatial autocorrelation features of advanced schistosomiasis in Chizhou.Methods The data of advanced schistosomiasis in Chizhou were obtained from the National Surveillance System of Parasite Diseases in 2013.The geographic database of advanced schistosomiasis at the township level and the case database were set up.Statistical analyses were performed to describe the epidemiological features(distribution by age,gender,occupation,and type) of advanced schistosomiasis.The global clustering method(Moran's I) and local clustering methods including local Moran's I and Getis-Ord Gi indices were applied to analyze the spatial distribution of advanced schistosomiasis on Arcgis 10.2.Results A total of 1 855 cases(51.3%were male,47.7%were female) were reported in Chizhou in 2013.The age ranged between 12 and 93 years old,and 76.0%were over 55 years old.86.6%of the cases were farmers,48.4%were illiteracy and 35.6%received primary education.83.9%of the cases were ascitic type,and 61.0%were first diagnosed as advanced schistosomiasis in 2000-2009.The global Moran's I of prevalence rate of advanced schistosomiasis was 0.2156(P<0.05) and there was spatial auto— correlation as a whole.The local Moran's I index and Getis—Ord Gi statistics both found 5 townships,where were located in Dongzhi county,showed High— High positive spatial association with statistical significance(P<0.05).Conclusions The majority of patients with advance schistosomiasis were middle—aged and elderly farmers and most of the patients were ascitic type in Chizhou.A positive spatial correlation of advanced schistosomiasis was found,and 5 clustering townships were identified in Dongzhi County.The findings provided clues useful for disease surveillance and control in Chizhou.
Objective To understand the prevalence situation and spatial autocorrelation features of advanced schistosomiasis in Chizhou.Methods The data of advanced schistosomiasis in Chizhou were obtained from the National Surveillance System of Parasite Diseases in 2013.The geographic database of advanced schistosomiasis at the township level and the case database were set up.Statistical analyses were performed to describe the epidemiological features(distribution by age,gender,occupation,and type) of advanced schistosomiasis.The global clustering method(Moran's I) and local clustering methods including local Moran's I and Getis-Ord Gi indices were applied to analyze the spatial distribution of advanced schistosomiasis on Arcgis 10.2.Results A total of 1 855 cases(51.3%were male,47.7%were female) were reported in Chizhou in 2013.The age ranged between 12 and 93 years old,and 76.0%were over 55 years old.86.6%of the cases were farmers,48.4%were illiteracy and 35.6%received primary education.83.9%of the cases were ascitic type,and 61.0%were first diagnosed as advanced schistosomiasis in 2000-2009.The global Moran's I of prevalence rate of advanced schistosomiasis was 0.2156(P<0.05) and there was spatial auto— correlation as a whole.The local Moran's I index and Getis—Ord Gi statistics both found 5 townships,where were located in Dongzhi county,showed High— High positive spatial association with statistical significance(P<0.05).Conclusions The majority of patients with advance schistosomiasis were middle—aged and elderly farmers and most of the patients were ascitic type in Chizhou.A positive spatial correlation of advanced schistosomiasis was found,and 5 clustering townships were identified in Dongzhi County.The findings provided clues useful for disease surveillance and control in Chizhou.
引文
1殷安华,华海涌,孙国祥,等.传播阻断地区新发展晚期血吸虫病病人情况调查.中国血吸虫病防治杂志,2013,25(5):477-484.
2张俊辉,冯子健,蒋敏,等.探索性空间数据分析在中国北方6省(区)布鲁氏菌病地区分布研究中的应用.中华流行病学杂志,2011,32(12):1278-1284.
3王永,沈毅.空间自相关方法及其主要应用现状.中国卫生统计,2008,25(4):443-445.
4姜庆五,赵飞.空间自相关分析方法在流行病学中的应用.中华流行病学杂志,2011,32(6):539-546.
5张松林,张昆.局部空间自相关指标对比研究.统计研究,2007,24(7):65-67.
6 Zimmerman DL,Li J,Fang X.Spatial autocorrelation among automated geocoding errors and its effects on testing for disease clustering.Stat Med,2010,29(9):1025-1036
7 Rusch ML,Brouwer KC,Lozada Ret al.Distribution of sexually transmitted diseases and risk factors by work locations among female sex workers in Tijuana,Mexico.Sex Transm Dis,2010,37(10):608-614.
8蔡凯平,李英,李以义,等.湖南省晚期血吸虫病人分布现状与特点.中国血吸虫病防治杂志,2005,17(3):198-201.
9刘兆春,肖水源,周杰,等.2012年湖南省晚期血吸虫病流行病学特征分析.中国血吸虫病防治杂志,2014,26(2):148-152.
10华海涌,田增喜,梁幼生.江苏省晚期血吸虫病现况调查.中国血吸虫病防治杂志,2009,21(5):400-403.
11张奕,张旭东,钟波,等.2010年四川省晚期血吸虫病患者现状调查.中国血吸虫病防治杂志,2012,24(3):264-278.
12张晓云,邵宗林,董毅,等.云南省现存晚期血吸虫病病例分布状况与特点.热带病与寄生虫学,2010,8(5):204-206.
13柯永文,何宗贵,吴强.2012年安徽贵池区晚期血吸虫病人分布与救治情况分析.热带病与寄生虫学,2013,11(3):146-148.
14周晓农.空间流行病学.北京:科学出版社,2009,236-241.
15汪天平,赵飞,张世清,等.2000-2008年安徽省血吸虫病时空聚集性分析.热带病和寄生虫学,2011,(9)3:127-130.
16张志杰.湖沼地区血吸虫病高风险区域的空间分析及重点钉螺孳生地的探测.复旦大学,2008.
17姚保栋,周艺彪,王增亮,等.基于行政村尺度的安乡县晚期血吸虫病空间分布特征研究.中国血吸虫病防治杂志,2012.24(1):72-75.
2张俊辉,冯子健,蒋敏,等.探索性空间数据分析在中国北方6省(区)布鲁氏菌病地区分布研究中的应用.中华流行病学杂志,2011,32(12):1278-1284.
3王永,沈毅.空间自相关方法及其主要应用现状.中国卫生统计,2008,25(4):443-445.
4姜庆五,赵飞.空间自相关分析方法在流行病学中的应用.中华流行病学杂志,2011,32(6):539-546.
5张松林,张昆.局部空间自相关指标对比研究.统计研究,2007,24(7):65-67.
6 Zimmerman DL,Li J,Fang X.Spatial autocorrelation among automated geocoding errors and its effects on testing for disease clustering.Stat Med,2010,29(9):1025-1036
7 Rusch ML,Brouwer KC,Lozada Ret al.Distribution of sexually transmitted diseases and risk factors by work locations among female sex workers in Tijuana,Mexico.Sex Transm Dis,2010,37(10):608-614.
8蔡凯平,李英,李以义,等.湖南省晚期血吸虫病人分布现状与特点.中国血吸虫病防治杂志,2005,17(3):198-201.
9刘兆春,肖水源,周杰,等.2012年湖南省晚期血吸虫病流行病学特征分析.中国血吸虫病防治杂志,2014,26(2):148-152.
10华海涌,田增喜,梁幼生.江苏省晚期血吸虫病现况调查.中国血吸虫病防治杂志,2009,21(5):400-403.
11张奕,张旭东,钟波,等.2010年四川省晚期血吸虫病患者现状调查.中国血吸虫病防治杂志,2012,24(3):264-278.
12张晓云,邵宗林,董毅,等.云南省现存晚期血吸虫病病例分布状况与特点.热带病与寄生虫学,2010,8(5):204-206.
13柯永文,何宗贵,吴强.2012年安徽贵池区晚期血吸虫病人分布与救治情况分析.热带病与寄生虫学,2013,11(3):146-148.
14周晓农.空间流行病学.北京:科学出版社,2009,236-241.
15汪天平,赵飞,张世清,等.2000-2008年安徽省血吸虫病时空聚集性分析.热带病和寄生虫学,2011,(9)3:127-130.
16张志杰.湖沼地区血吸虫病高风险区域的空间分析及重点钉螺孳生地的探测.复旦大学,2008.
17姚保栋,周艺彪,王增亮,等.基于行政村尺度的安乡县晚期血吸虫病空间分布特征研究.中国血吸虫病防治杂志,2012.24(1):72-75.
目录
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