Literature DB >> 26967303

The Prevalence of Syphilis from the Early HIV Period is Correlated With Peak HIV Prevalence at a Country Level.

Kara K Osbak1, Jane T Rowley, Nicholas J Kassebaum, Chris Richard Kenyon.   

Abstract

BACKGROUND: Could we have predicted national peak HIV based on syphilis prevalence in the 1990s? Earlier studies have shown positive correlations between various sexually transmitted infections at different population levels. In this article, we test the hypothesis that there was a residual variation in the national prevalence rates of syphilis and that these rates could predict subsequent peak HIV prevalence rates.
METHODS: This analysis uses linear regression to evaluate the country-level relationship between antenatal syphilis prevalence (1990-1999) and peak HIV prevalence. Antenatal syphilis data were taken from an Institute for Health Metrics and Evaluation database on the prevalence of syphilis in low-risk populations. Peak HIV prevalence was calculated based on data taken from the Global Health Observatory Data Repository of the World Health Organization.
RESULTS: A moderately strong association is found for the 76 countries with data available (R = 0.53, P < 0.001). The association was weakened but remained significantly positive when we adjusted for the type of syphilis testing used.
CONCLUSIONS: Syphilis prevalence in the 1990s predicted approximately 53% of the variation in peak HIV prevalence. Populations with generalized HIV epidemics had a higher prevalence of syphilis in the pre-HIV period. This finding provides additional rationale to carefully monitor sexual behavior, sexual networks, and sexually transmitted infection incidence in these populations.

Mesh:

Year:  2016        PMID: 26967303     DOI: 10.1097/OLQ.0000000000000422

Source DB:  PubMed          Journal:  Sex Transm Dis        ISSN: 0148-5717            Impact factor:   2.830


  9 in total

Review 1.  As through a glass, darkly: the future of sexually transmissible infections among gay, bisexual and other men who have sex with men.

Authors:  Mark Richard Stenger; Stefan Baral; Shauna Stahlman; Dan Wohlfeiler; Jerusha E Barton; Thomas Peterman
Journal:  Sex Health       Date:  2017-02       Impact factor: 2.706

2.  A clinical audit of maternal syphilis in a regional hospital in KwaZulu-Natal, South Africa.

Authors:  Onankoy A Onyangunga; Thajasvarie Naicker; Jagidesa Moodley
Journal:  S Afr J Infect Dis       Date:  2020-04-30

Review 3.  The Global Epidemiology of Syphilis in the Past Century - A Systematic Review Based on Antenatal Syphilis Prevalence.

Authors:  Chris Richard Kenyon; Kara Osbak; Achilleas Tsoumanis
Journal:  PLoS Negl Trop Dis       Date:  2016-05-11

4.  Trends and Predictors of Syphilis Prevalence in the General Population: Global Pooled Analyses of 1103 Prevalence Measures Including 136 Million Syphilis Tests.

Authors:  Alex Smolak; Jane Rowley; Nico Nagelkerke; Nicholas J Kassebaum; R Matthew Chico; Eline L Korenromp; Laith J Abu-Raddad
Journal:  Clin Infect Dis       Date:  2018-04-03       Impact factor: 9.079

5.  It's the network, stupid: a population's sexual network connectivity determines its STI prevalence.

Authors:  Chris R Kenyon; Wim Delva
Journal:  F1000Res       Date:  2018-12-02

6.  Epidemiology of Treponema pallidum, Chlamydia trachomatis, Neisseria gonorrhoeae, Trichomonas vaginalis, and herpes simplex virus type 2 among female sex workers in the Middle East and North Africa: systematic review and meta-analytics.

Authors:  Hiam Chemaitelly; Helen A Weiss; Alex Smolak; Elzahraa Majed; Laith J Abu-Raddad
Journal:  J Glob Health       Date:  2019-12       Impact factor: 4.413

7.  Strong Country Level Correlation between Syphilis and HSV-2 Prevalence.

Authors:  Chris Richard Kenyon; Achilleas Tsoumanis; Kara Osbak
Journal:  J Sex Transm Dis       Date:  2016-03-16

8.  Strong associations between national prevalence of various STIs suggests sexual network connectivity is a common underpinning risk factor.

Authors:  Chris Kenyon
Journal:  BMC Infect Dis       Date:  2017-10-12       Impact factor: 3.090

9.  HIV prevalence by ethnic group covaries with prevalence of herpes simplex virus-2 and high-risk sex in Uganda: An ecological study.

Authors:  Chris R Kenyon
Journal:  PLoS One       Date:  2018-04-04       Impact factor: 3.240

  9 in total

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