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性传播疾病传播中的性伴侣网络。英国谢菲尔德淋病病例分析。

Sexual partner networks in the transmission of sexually transmitted diseases. An analysis of gonorrhea cases in Sheffield, UK.

作者信息

Ghani A C, Ison C A, Ward H, Garnett G P, Bell G, Kinghorn G R, Weber J, Day S

机构信息

Department of Epidemiology, Imperial College School of Medicine (ICSM) at St Mary's, London, UK.

出版信息

Sex Transm Dis. 1996 Nov-Dec;23(6):498-503. doi: 10.1097/00007435-199611000-00011.

Abstract

BACKGROUND AND OBJECTIVES

Routine contact tracing data on patients with gonorrhea are used to identify sexual partner networks. These are combined with gonococcal typing data to study patterns of transmission. The role of persons in transmission is discussed.

STUDY DESIGN

Contact tracing data on patients with gonorrhea attending the Royal Hallamshire Hospital in Sheffield in 1988 and 1989 are analyzed. Gonococcal strains identified by auxotype/serovar (A/S) class are combined with these data to identify transmission paths.

RESULTS

The network contained 1,272 persons, 724 (77%) of whom had gonorrhea during the study period. Four hundred two clusters of linked cases were identified. The largest cluster, containing 35 persons connected over 16 months, is discussed in greater detail to illustrate how these data may help identify patterns of transmission and the role of persons.

CONCLUSION

Contact tracing data can be used to identify sexual partner networks and to study transmission patterns. Microbiologic data can aid interpretation. An person's risk of acquiring infection depends on indirect links as well as direct links. To understand patterns of transmission it may be important to distinguish between those involved in transmission and those only acquiring infection. Networks established through gonococcal transmission are also relevant to the transmission of other sexually transmitted diseases.

摘要

背景与目的

淋病患者的常规接触者追踪数据用于识别性伴侣网络。这些数据与淋球菌分型数据相结合,以研究传播模式。文中讨论了个体在传播中的作用。

研究设计

对1988年和1989年在谢菲尔德皇家哈勒姆郡医院就诊的淋病患者的接触者追踪数据进行分析。将通过辅助型/血清型(A/S)分类鉴定的淋球菌菌株与这些数据相结合,以确定传播途径。

结果

该网络包含1272人,其中724人(77%)在研究期间患有淋病。识别出402个关联病例群。对最大的一个包含35人、在16个月内相互关联的群组进行了更详细的讨论,以说明这些数据如何有助于识别传播模式以及个体的作用。

结论

接触者追踪数据可用于识别性伴侣网络并研究传播模式。微生物学数据有助于解释。个体感染的风险取决于间接联系以及直接联系。为了解传播模式,区分传播者和仅感染者可能很重要。通过淋球菌传播建立的网络也与其他性传播疾病的传播相关。

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