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It’s the network, stupid: a population’s sexual network connectivity determines its STI prevalence

There is little consensus as to why sexually transmitted infections (STIs), including HIV and bacterial vaginosis (BV) are more prevalent in some populations than others. Using a broad definition of sexual network connectivity that includes both structural and conductivity-related factors, we argue...

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Detalles Bibliográficos
Autores principales: Kenyon, Chris R., Delva, Wim
Formato: Online Artículo Texto
Lenguaje:English
Publicado: F1000 Research Limited 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6376253/
https://www.ncbi.nlm.nih.gov/pubmed/30815252
http://dx.doi.org/10.12688/f1000research.17148.2
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author Kenyon, Chris R.
Delva, Wim
author_facet Kenyon, Chris R.
Delva, Wim
author_sort Kenyon, Chris R.
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description There is little consensus as to why sexually transmitted infections (STIs), including HIV and bacterial vaginosis (BV) are more prevalent in some populations than others. Using a broad definition of sexual network connectivity that includes both structural and conductivity-related factors, we argue that the available evidence suggests that high prevalence of traditional STIs, HIV and BV can be parsimoniously explained by these populations having more connected sexual networks. Positive feedback, whereby BV and various STIs enhance the spread of other STIs, then further accentuates the spread of BV, HIV and other STIs. We review evidence that support this hypothesis and end by suggesting study designs that could further evaluate the hypothesis, as well as implications of this hypothesis for the prevention and management of STIs.
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spelling pubmed-63762532019-02-26 It’s the network, stupid: a population’s sexual network connectivity determines its STI prevalence Kenyon, Chris R. Delva, Wim F1000Res Opinion Article There is little consensus as to why sexually transmitted infections (STIs), including HIV and bacterial vaginosis (BV) are more prevalent in some populations than others. Using a broad definition of sexual network connectivity that includes both structural and conductivity-related factors, we argue that the available evidence suggests that high prevalence of traditional STIs, HIV and BV can be parsimoniously explained by these populations having more connected sexual networks. Positive feedback, whereby BV and various STIs enhance the spread of other STIs, then further accentuates the spread of BV, HIV and other STIs. We review evidence that support this hypothesis and end by suggesting study designs that could further evaluate the hypothesis, as well as implications of this hypothesis for the prevention and management of STIs. F1000 Research Limited 2019-01-30 /pmc/articles/PMC6376253/ /pubmed/30815252 http://dx.doi.org/10.12688/f1000research.17148.2 Text en Copyright: © 2019 Kenyon CR and Delva W http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Opinion Article
Kenyon, Chris R.
Delva, Wim
It’s the network, stupid: a population’s sexual network connectivity determines its STI prevalence
title It’s the network, stupid: a population’s sexual network connectivity determines its STI prevalence
title_full It’s the network, stupid: a population’s sexual network connectivity determines its STI prevalence
title_fullStr It’s the network, stupid: a population’s sexual network connectivity determines its STI prevalence
title_full_unstemmed It’s the network, stupid: a population’s sexual network connectivity determines its STI prevalence
title_short It’s the network, stupid: a population’s sexual network connectivity determines its STI prevalence
title_sort it’s the network, stupid: a population’s sexual network connectivity determines its sti prevalence
topic Opinion Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6376253/
https://www.ncbi.nlm.nih.gov/pubmed/30815252
http://dx.doi.org/10.12688/f1000research.17148.2
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