ArticleFrontiers in public health2025
Analysis of HIV contact tracing in Yunnan Province: data-driven insights for optimizing HIV prevention and control strategies.
Article in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: To effectively control the spread of HIV, this study evaluated contact tracing implementation among newly diagnosed individuals in Yunnan Province, China-a region heavily affected by HIV. Methods: From January to June 2020, contact tracing targeted newly diagnosed HIV cases to identify sexual/drug-injecting partners. Factors correlated with index cases, close contacts, and positive testing outcomes were analyzed. Results: Among 5,695 new HIV cases, 1,612 (28.3%) received tracing counseling, revealing 2,226 close contacts. Of the 1,612 index cases, 182 were recently infected, while 1,430 had been infected long-term. Of the 2,226 close contacts, 910 underwent HIV antibody testing, with 17.8% (162/910) testing positive. Notably, 132 of these contacts were newly diagnosed with HIV, representing 14.5% of those tested. The detection rates for both positive and newly diagnosed infections were higher among contacts identified by recently infected index cases than among those identified by long-term infected index cases. A multivariate analysis showed that HIV index cases of other ethnicities (adjusted odds ratio (aOR) = 1.688, 95% confidence interval (CI): 1.495-1.905), the divorced (aOR = 1.430, 95%CI: 1.237-1.654), those traced through voluntary counselling and testing (VCT) (aOR = 1.707, 95%CI: 1.077-2.705) and those exposed to commercial sex (aOR = 1.437, 95%CI: 1.257-1.642) were more likely to receive tracing counselling. Among close contacts, those who were Han Chinese (aOR = 1.231, 95% CI: 1.012~1.498), married (aOR = 1.738, 95% CI: 1.339 ~ 2.255), had a high school education or higher (aOR = 2.809, 95% CI: 1.849~4.267) or were exposed to positive spouses or regular sex partners (aOR = 2.403, 95% CI: 1.741~3.317) were more likely to undergo HIV testing. A higher positive testing rate was observed among men (aOR = 2.608, 95% CI: 1.740~3.911), ethnic minorities (aOR = 1.645, 95% CI: 1.098~2.465), individuals aged 40-49 (aOR = 2.733, 95% CI: 1.497~4.990) and individuals exposed to positive spouses or regular partners (aOR = 2.215, 95% CI: 1.411~3.477). Conclusion: HIV recent infection testing is instrumental in enhancing the efficiency of contact tracing efforts. The variability in contact tracing uptake among diverse populations underscores the necessity for tailored strategies. These findings provide strong support for optimizing HIV prevention and control strategies, facilitating more precise disease management objectives.
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.