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A prospective social and molecular investigation of gonococcal transmission

Gonorrhoea is a common infectious disease, poorly controlled despite effective treatments. Tracing chains of transmission is difficult, because sexual partners are commonly difficult or impossible to identify. We assess the use of gonococcal opa-typing in identifying transmission links not revealed... Full description

Journal Title: The Lancet (British edition) 2000, Vol.356 (9244), p.1812-1817
Main Author: Ward, Helen
Other Authors: Ison, Catherine A , Day, Sophie E , Martin, Iona , Ghani, Azra C , Garnett, Geoff P , Bell, Gill , Kinghorn, George , Weber, Jonathan N
Format: Electronic Article Electronic Article
Language: English
Subjects:
STD
Quelle: Alma/SFX Local Collection
Publisher: London: Elsevier Ltd
ID: ISSN: 0140-6736
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recordid: cdi_proquest_miscellaneous_72495111
title: A prospective social and molecular investigation of gonococcal transmission
format: Article
creator:
  • Ward, Helen
  • Ison, Catherine A
  • Day, Sophie E
  • Martin, Iona
  • Ghani, Azra C
  • Garnett, Geoff P
  • Bell, Gill
  • Kinghorn, George
  • Weber, Jonathan N
subjects:
  • Abridged Index Medicus
  • Adolescent
  • Adult
  • Bacterial diseases
  • Bacterial diseases of the urinary system
  • Bacterial Typing Techniques
  • Biological and medical sciences
  • Contact Tracing - methods
  • Epidemiologic Methods
  • Female
  • Genes, Bacterial
  • Genetic aspects
  • Gonorrhea
  • Gonorrhea - epidemiology
  • Gonorrhea - transmission
  • Human bacterial diseases
  • Humans
  • Incidence
  • Infectious diseases
  • London - epidemiology
  • Male
  • Medical sciences
  • Middle Aged
  • Neisseria gonorrhoeae
  • Neisseria gonorrhoeae - classification
  • Prospective Studies
  • Sexually transmitted diseases
  • STD
ispartof: The Lancet (British edition), 2000, Vol.356 (9244), p.1812-1817
description: Gonorrhoea is a common infectious disease, poorly controlled despite effective treatments. Tracing chains of transmission is difficult, because sexual partners are commonly difficult or impossible to identify. We assess the use of gonococcal opa-typing in identifying transmission links not revealed through interview. Epidemiological data and gonococcal isolates were collected prospectively from patients at two UK clinics in London and Sheffield. Social and epidemiological data were combined with molecular typing of gonococcal isolates by a new methodology based on the polymorphisms of the opa gene. In London, interview data and opa-typing on samples from 215 cases showed a diverse population with few links. In Sheffield, interview data identified links between 51 (43%) of 120 cases, whereas opa-typing suggested a more connected population: 95 (79%) of cases had shared profiles. There was a highly significant correlation between the two distributions with epidemiological clusters appearing as a subset of the opa clusters. Two large opa clusters, of 18 and 43 cases, accounted for 50% of local cases of gonorrhoea. Discordance between epidemiological and opa-typing data was observed at highly connected points in the sexual network. Opa-typing is a more powerful tool for epidemiological investigation of gonorrhoea transmission than earlier methods. Opa-typing can link infections that would otherwise remain unlinked, and may aid interventions to control endemic disease.
language: eng
source: Alma/SFX Local Collection
identifier: ISSN: 0140-6736
fulltext: fulltext
issn:
  • 0140-6736
  • 1474-547X
url: Link


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descriptionGonorrhoea is a common infectious disease, poorly controlled despite effective treatments. Tracing chains of transmission is difficult, because sexual partners are commonly difficult or impossible to identify. We assess the use of gonococcal opa-typing in identifying transmission links not revealed through interview. Epidemiological data and gonococcal isolates were collected prospectively from patients at two UK clinics in London and Sheffield. Social and epidemiological data were combined with molecular typing of gonococcal isolates by a new methodology based on the polymorphisms of the opa gene. In London, interview data and opa-typing on samples from 215 cases showed a diverse population with few links. In Sheffield, interview data identified links between 51 (43%) of 120 cases, whereas opa-typing suggested a more connected population: 95 (79%) of cases had shared profiles. There was a highly significant correlation between the two distributions with epidemiological clusters appearing as a subset of the opa clusters. Two large opa clusters, of 18 and 43 cases, accounted for 50% of local cases of gonorrhoea. Discordance between epidemiological and opa-typing data was observed at highly connected points in the sexual network. Opa-typing is a more powerful tool for epidemiological investigation of gonorrhoea transmission than earlier methods. Opa-typing can link infections that would otherwise remain unlinked, and may aid interventions to control endemic disease.
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subjectAbridged Index Medicus ; Adolescent ; Adult ; Bacterial diseases ; Bacterial diseases of the urinary system ; Bacterial Typing Techniques ; Biological and medical sciences ; Contact Tracing - methods ; Epidemiologic Methods ; Female ; Genes, Bacterial ; Genetic aspects ; Gonorrhea ; Gonorrhea - epidemiology ; Gonorrhea - transmission ; Human bacterial diseases ; Humans ; Incidence ; Infectious diseases ; London - epidemiology ; Male ; Medical sciences ; Middle Aged ; Neisseria gonorrhoeae ; Neisseria gonorrhoeae - classification ; Prospective Studies ; Sexually transmitted diseases ; STD
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abstractGonorrhoea is a common infectious disease, poorly controlled despite effective treatments. Tracing chains of transmission is difficult, because sexual partners are commonly difficult or impossible to identify. We assess the use of gonococcal opa-typing in identifying transmission links not revealed through interview. Epidemiological data and gonococcal isolates were collected prospectively from patients at two UK clinics in London and Sheffield. Social and epidemiological data were combined with molecular typing of gonococcal isolates by a new methodology based on the polymorphisms of the opa gene. In London, interview data and opa-typing on samples from 215 cases showed a diverse population with few links. In Sheffield, interview data identified links between 51 (43%) of 120 cases, whereas opa-typing suggested a more connected population: 95 (79%) of cases had shared profiles. There was a highly significant correlation between the two distributions with epidemiological clusters appearing as a subset of the opa clusters. Two large opa clusters, of 18 and 43 cases, accounted for 50% of local cases of gonorrhoea. Discordance between epidemiological and opa-typing data was observed at highly connected points in the sexual network. Opa-typing is a more powerful tool for epidemiological investigation of gonorrhoea transmission than earlier methods. Opa-typing can link infections that would otherwise remain unlinked, and may aid interventions to control endemic disease.
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pmid11117914
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