Sexual networks: The integration of social and genetic data

被引:25
作者
Day, S [1 ]
Ward, H
Ison, C
Bell, G
Weber, J
机构
[1] Univ London Imperial Coll Sci Technol & Med, Sch Med, Dept Epidemiol & Publ Hlth, Norfolk Pl, London W2 1PG, England
[2] Univ London Imperial Coll Sci Technol & Med, Sch Med, Dept Microbiol, London, England
[3] Univ London Imperial Coll Sci Technol & Med, Sch Med, Dept Genitourinary Med & Communicable Dis, London, England
[4] Royal Hallamshire Hosp, Dept Genitourinary Med, Sheffield S10 2JF, S Yorkshire, England
[5] Univ London Goldsmiths Coll, Dept Anthropol, London SE14 6NW, England
基金
英国惠康基金;
关键词
gonorrhoea; social and genetic networks;
D O I
10.1016/S0277-9536(98)00306-2
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
New methods for studying sexual networks are presented, drawing upon routine procedures followed in genitourinary medicine clinics in the UP: for tracing partners and identifying strains of infection. The routine social procedures were developed to incorporate a structured interview. The routine microbiological diagnosis of gonorrhoea was augmented by phenotyping and the development of new genetic techniques for the fine discrimination of gonococcal strains (opa-typing). Selected results from a study in Sheffield, UK show that each method has limitations, when conducted separately, but these are minimised when the methods are combined. Moreover, the use of simple and routine methods of data collection resolve issues of scale and sample that have beset other network studies, as they provide a means of covering a larger and defined population. Popular concepts about these methods are discussed in the conclusion. The integrated approach employed in our research raises questions both about social methods, of people who lie, particularly when they talk about sex', and about microbiological methods, 'of genes that tell the truth' and bypass what people say and think altogether. We argue that these stereotypes are misleading insofar as they suggest that genetic techniques can substitute for the social, and we suggest that even the finest discrimination of organisms at the genetic level will never obviate the need for their interpretation;in the light of social data. (C) 1998 Elsevier Science Ltd. All rights reserved.
引用
收藏
页码:1981 / 1992
页数:12
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