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马里兰州巴尔的摩市高淋病传播地区的地理识别。

Geographic identification of high gonorrhea transmission areas in Baltimore, Maryland.

作者信息

Jennings Jacky M, Curriero Frank C, Celentano David, Ellen Jonathan M

机构信息

Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21224, USA.

出版信息

Am J Epidemiol. 2005 Jan 1;161(1):73-80. doi: 10.1093/aje/kwi012.

Abstract

Geographic approaches to sexually transmitted infection (STI) research frequently seek to identify areas where outreach STI testing may most effectively interrupt continued transmission of STIs. Many of the studies are limited, however, in that they fail to control for racial/ethnic composition of the high prevalence areas. These studies thus may be merely identifying the broader sexual networks of the high morbidity population and not the high transmission networks within them. Cluster detection analysis may be an appropriate approach to identify critical STI disease transmission locations. This study determined whether statistically significant geographic clusters of high prevalence gonorrhea cases can be located after controlling for race/ethnicity. Using a spatial scan statistic, the authors analyzed reported cases of gonorrhea (n = 32,454) in Baltimore City, Maryland, from 1994 to 1999 geocoded to the primary address and aggregated to census block groups (n = 709). They adjusted for the underlying distribution of the population aged 15-39 years and percent African American per census block group. The results identified eight significant clusters of high STI prevalence areas, reinforcing the inference that risks for gonorrhea are associated with definable sociogeographic spaces. The areas identified may be critical to control STIs and may provide important direction for further study and targeted interventions.

摘要

性传播感染(STI)研究中的地理方法常常试图确定扩大性传播感染检测在哪些地区能够最有效地阻断性传播感染的持续传播。然而,许多此类研究存在局限性,因为它们没有对高流行地区的种族/族裔构成进行控制。因此,这些研究可能仅仅识别出了高发病率人群更广泛的性网络,而不是其中的高传播网络。聚类检测分析可能是识别关键性传播感染疾病传播地点的一种合适方法。本研究确定在控制种族/族裔因素后,是否能够找到淋病高发病例具有统计学意义的地理聚类。作者使用空间扫描统计方法,分析了1994年至1999年马里兰州巴尔的摩市报告的淋病病例(n = 32,454),这些病例按主要地址进行地理编码,并汇总到人口普查街区组(n = 709)。他们对15至39岁人口的潜在分布以及每个普查街区组中非洲裔美国人的比例进行了调整。结果确定了八个性传播感染高流行地区的显著聚类,进一步证明淋病风险与可定义的社会地理空间相关。所确定的地区对于控制性传播感染可能至关重要,并可能为进一步研究和针对性干预提供重要指导。

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