| Literature DB >> 21203468 |
Andrew Vallely1, Andrew Page, Shannon Dias, Peter Siba, Tony Lupiwa, Greg Law, John Millan, David P Wilson, John M Murray, Michael Toole, John M Kaldor.
Abstract
BACKGROUND: The potential for an expanded HIV epidemic in Papua New Guinea (PNG) demands an effective, evidence-based and locally-appropriate national response. As sexually transmitted infections (STIs) may be important co-factors in HIV transmission nationally, it is timely to conduct a systematic review of STI prevalences to inform national policy on sexual health and HIV/STI prevention. METHODOLOGY/PRINCIPALEntities:
Mesh:
Year: 2010 PMID: 21203468 PMCID: PMC3009733 DOI: 10.1371/journal.pone.0015586
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Figure 1Flow chart of identification and selection of studies for inclusion.
Figure 2Prevalence of sexually transmitted infections in men: community-based studies.
Forest plots showing unadjusted prevalence estimates (boxes) with 95% confidence limits (bars). Pooled prevalence estimates are represented as diamonds in this plot.
Figure 5Prevalence of sexually transmitted infections in women: clinic-based studies.
Forest plot showing unadjusted prevalence estimates (boxes) with 95% confidence limits (bars). Pooled prevalence estimates are represented as diamonds in this plot.
Figure 6Prevalence of sexually transmitted infections among female sex workers.
Forest plot showing unadjusted prevalence estimates (boxes) with 95% confidence limits (bars). Pooled prevalence estimates are represented as diamonds in this plot.
Figure 3Prevalence of sexually transmitted infections in women: community-based studies.
Forest plots showing unadjusted prevalence estimates (boxes) with 95% confidence limits (bars). Pooled prevalence estimates are represented as diamonds in this plot.
Figure 4Prevalence of sexually transmitted infections in men: clinic-based studies.
Forest plot showing unadjusted prevalence estimates (boxes) with 95% confidence limits (bars). Pooled prevalence estimates are represented as diamonds in this plot.