ArticleF1000Research2018
It's the network, stupid: a population's sexual network connectivity determines its STI prevalence.
Article in F1000Research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.
- A systematic review of the association between history of sexually transmitted infections and subsequent condom use in adolescents.BMC public health · 2024Pooled it
- Where we stand on doxyPEP depends on where we sit: a viewpoint.Frontiers in microbiology · 2025Article
- Epidemiology and determinants of reemerging bacterial sexually transmitted infections (STIs) and emerging STIs in Europe.The Lancet regional health. Europe · 2023Review
- Understanding sexual transmission dynamics and transmission contexts of monkeypox virus: a mixed-methods study of the early outbreak in Belgium (May-June 2022).Sexually transmitted infections · 2023Article
- Increasing sexually transmitted infections among adolescents in the USA.The Lancet. Child & adolescent health · 2021Article
- Partnership dynamics in mathematical models and implications for representation of sexually transmitted infections: a review.Annals of epidemiology · 2021Review
- To What Extent Should We Rely on Antibiotics to Reduce High Gonococcal Prevalence? Historical Insights from Mass-Meningococcal Campaigns.Pathogens (Basel, Switzerland) · 2020Review
- Article
- Differential sexual network connectivity offers a parsimonious explanation for population-level variations in the prevalence of bacterial vaginosis: a data-driven, model-supported hypothesis.BMC women's health · 2019Article
- Toward a Set of Criteria to Decide Which STIs to Screen for in PrEP Cohorts.Frontiers in public health · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 2 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.