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利用地理信息系统研究马里兰州巴尔的摩市淋病的地理流行病学。

Geographic epidemiology of gonorrhea in Baltimore, Maryland, using a geographic information system.

作者信息

Becker K M, Glass G E, Brathwaite W, Zenilman J M

机构信息

Division of Infectious Diseases, The Johns Hopkins School of Medicine, Baltimore, MD 21205, USA.

出版信息

Am J Epidemiol. 1998 Apr 1;147(7):709-16. doi: 10.1093/oxfordjournals.aje.a009513.

Abstract

The epidemiology of gonorrhea is characterized by geographically defined hyperendemic areas, or "cores." Geographic information system (GIS) technology offers new opportunities to evaluate these patterns. The authors developed a GIS system linked to the disease surveillance database at the Baltimore Health Department and used this system to evaluate the geographic epidemiology of gonorrhea in Baltimore, Maryland, during 1994. There were 7,330 reported cases, of which 87.4% were in persons aged 15-39 years; 56.6% were of the cases were in males; and 60.5% of the cases were reported from the nonsexually transmitted disease (STD) clinic sector. Valid residential addresses were available for 6,831 (93.5%) of cases. In the GIS system, gonorrhea cases were geocoded by reported address using digitized maps, and assigned to census tract. Census tract-specific rates for persons aged 15-39 years were calculated using 1990 census data. Gonorrhea was reported from 196/202 (97%) of census tracts, of which 90 census tracts had >30 cases. For these 90 census tracts, rates were ranked. The core was considered as the top rate quartile, consisting of 13 geographically contiguous census tracts with rates 4,370-6,370 per 100,000; adjacent areas were 19 census tracts in the second quartile (rates: 3,730-4,370 per 100,000). As radial distance from the core areas increased, incidence rates decreased and male/female ratio increased, which is consistent with previous definitions of the core theory of STD transmission. Mapping of cases by provider showed that cases reported from STD clinics had similar geographic distribution to those from the non-STD clinic sector. From an operational perspective, GIS can be effectively integrated with clinical data systems to provide epidemiologic analysis.

摘要

淋病的流行病学特征是存在地理上界定的高流行区,即“核心区”。地理信息系统(GIS)技术为评估这些模式提供了新的机会。作者开发了一个与巴尔的摩卫生部门疾病监测数据库相连的GIS系统,并使用该系统评估了1994年马里兰州巴尔的摩市淋病的地理流行病学情况。共报告了7330例病例,其中87.4%为15至39岁的人群;56.6%的病例为男性;60.5%的病例来自非性传播疾病(STD)门诊部门。6831例(93.5%)病例有有效的居住地址。在GIS系统中,淋病病例通过报告地址利用数字化地图进行地理编码,并分配到普查区。使用1990年普查数据计算了15至39岁人群的普查区特定发病率。202个普查区中有196个(97%)报告了淋病病例,其中90个普查区的病例数超过30例。对这90个普查区的发病率进行了排名。核心区被视为发病率最高的四分位数,由13个地理上相邻的普查区组成,发病率为每10万人4370至6370例;相邻区域是第二四分位数中的19个普查区(发病率:每10万人3730至4370例)。随着与核心区径向距离的增加,发病率下降,男女比例上升,这与先前性传播疾病传播核心理论的定义一致。按提供者绘制的病例分布图显示,性传播疾病门诊报告的病例与非性传播疾病门诊部门报告的病例具有相似的地理分布。从操作角度看,GIS可有效地与临床数据系统整合以提供流行病学分析。

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