Differential sexual network connectivity offers a parsimonious explanation for population-level variations in the prevalence of bacterial vaginosis: a data-driven, model-supported hypothesis-Reference-Cited by-同舟云学术

Differential sexual network connectivity offers a parsimonious explanation for population-level variations in the prevalence of bacterial vaginosis: a data-driven, model-supported hypothesis

Published:2019-01-10 Issue:1 Volume:19 Page:
ISSN:1472-6874
Container-title:BMC Women's Health
language:en
Short-container-title:BMC Women's Health

Author:

Kenyon Chris R.^ORCID,Delva Wim,Brotman Rebecca M.

Publisher

Springer Science and Business Media LLC

Subject

Obstetrics and Gynaecology,Reproductive Medicine,General Medicine

Link

http://link.springer.com/content/pdf/10.1186/s12905-018-0703-0.pdf

Reference95 articles.

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2. Jespers V, Crucitti T, Menten J, Verhelst R, Mwaura M, Mandaliya K, et al. Prevalence and correlates of bacterial vaginosis in different sub-populations of women in sub-Saharan Africa: a cross-sectional study. PLoS One. 2014;9(10):e109670. https://doi.org/10.1371/journal.pone.0109670 Epub 2014/10/08. PubMed PMID: 25289640; PubMed Central PMCID: PMCPMC4188821.

3. Lennard K, Dabee S, Barnabas SL, Havyarimana E, Blakney A, Jaumdally SZ, et al. Microbial composition predicts genital tract inflammation and persistent bacterial vaginosis in adolescent South African women. Infect Immun. 2017. https://doi.org/10.1128/IAI.00410-17 Epub 2017/10/19. PubMed PMID: 29038128 .

4. Ravel J, Gajer P, Abdo Z, Schneider GM, Koenig SS, McCulle SL, et al. Vaginal microbiome of reproductive-age women. Proc Natl Acad Sci U S A. 2011;108(Suppl 1):4680–7. https://doi.org/10.1073/pnas.1002611107 Epub 2010/06/11. PubMed PMID: 20534435.

5. Fredricks DN, Fiedler TL, Marrazzo JM. Molecular identification of bacteria associated with bacterial vaginosis. N Engl J Med. 2005;353(18):1899–911. https://doi.org/10.1056/NEJMoa043802 Epub 2005/11/04. PubMed PMID: 16267321.

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