ArticleSexually transmitted diseases2014
Neighborhoods at risk: estimating risk of higher Neisseria gonorrhoeae incidence among women at the census tract level.
Article in Sexually transmitted diseases, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 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
6 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.
- Incorporation of Social Determinants of Health in the Peer-Reviewed Literature: A Systematic Review of Articles Authored by the National Center for HIV/AIDS, Viral Hepatitis, STD, and TB Prevention.Public health reports (Washington, D.C. : 1974)Pooled it
- Social disorganization and new HIV diagnoses, 2013-2017, Florida: Rural-urban differences.The Journal of rural health : official journal of the American Rural Health Association and the National Rural Health Care Association · 2022Article
- De-identifying Socioeconomic Data at the Census Tract Level for Medical Research Through Constraint-based Clustering.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2021Article
- Social and behavioural research prospects for sexually transmissible infection prevention in the era of advances in biomedical approaches.Sexual health · 2020Article
- Assessment: A Core Function for Implementing Effective Interventions in Sexually Transmitted Disease Control Programs.Sexually transmitted diseases · 2016Article
- Food Insecurity and Risk Indicators for Sexually Transmitted Infection Among Sexually Active Persons Aged 15-44, National Survey of Family Growth, 2011-2017.Public health reports (Washington, D.C. : 1974)Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 9 institutions in 1 country.
Funding
Abstract
backgroundThe association between area-based social factors and sexually transmitted diseases has been demonstrated in numerous studies. Such associations have not previously been explored for their potential to quantify likelihood of higher transmission of gonorrhea in small geographic areas.
methodsAggregate census tract-level sociodemographic factors in 4 domains (demographics, educational attainment, household income, and housing characteristics) were merged with female gonorrhea incidence data from 113 counties in 10 US states. Multivariate models were constructed, and a tract-level composite gonorrhea risk index was calculated. This composite risk index was validated against gonorrhea incidence among women from 2 independent states.
resultsSeven tract-level factors were found to be most strongly correlated with female gonorrhea incidence: educational attainment, proportion of female headed households, annual household income below US $20,000, proportion of population non-Hispanic black, proportion of housing units currently vacant, proportion of population reporting moving in last year, and proportion of households that are nonfamily units. Composite index was highly correlated with female gonorrhea in the study area and validated with independent data.
conclusionsSocial factors predict gonorrhea incidence at the census tract level and identify small areas at risk for higher morbidity. These data may be used by health departments and health care practices to develop geographically based disease prevention and control efforts. This is especially useful because gonorrhea incidence data are not routinely available below the county level in many states.
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.