Evidence map›Paper›PMID 40128682›Full record

ArticleBMC public health2025

Analysis of HIV-1 recent infections and hotspot areas in a bordering area in Yunnan Province, China.

Xiao Zhang, Lijuan Dong, Tao Zhou, Huichao Chen, Yu Han, Xiaomei Jin, Jie Dai, Min Yang, Zhijun Zeng, Pengyan Sun and 4 more

Abstract read
In one paragraph

Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Xiao Zhang *Yunnan Provincial Key Laboratory of Public Health and Biosafety & School of Public Health, Kunming Medical University, Kunming, Yunnan, China.
Lijuan Dong *Yunnan Provincial Key Laboratory of Public Health and Biosafety & Institute for AIDS/STD Control and Prevention, Yunnan Center for Disease Control and Prevention, Kunming, Yunnan, China.
Tao Zhou *Division for AIDS/STD Control and Prevention, Honghe Center for Disease Control and Prevention, Honghe, Yunnan, China.
Huichao ChenYunnan Provincial Key Laboratory of Public Health and Biosafety & Institute for AIDS/STD Control and Prevention, Yunnan Center for Disease Control and Prevention, Kunming, Yunnan, China.
Yu HanYunnan Provincial Key Laboratory of Public Health and Biosafety & Institute for AIDS/STD Control and Prevention, Yunnan Center for Disease Control and Prevention, Kunming, Yunnan, China.
Xiaomei JinYunnan Provincial Key Laboratory of Public Health and Biosafety & Institute for AIDS/STD Control and Prevention, Yunnan Center for Disease Control and Prevention, Kunming, Yunnan, China.
Jie DaiYunnan Provincial Key Laboratory of Public Health and Biosafety & Institute for AIDS/STD Control and Prevention, Yunnan Center for Disease Control and Prevention, Kunming, Yunnan, China.
Min YangYunnan Provincial Key Laboratory of Public Health and Biosafety & Institute for AIDS/STD Control and Prevention, Yunnan Center for Disease Control and Prevention, Kunming, Yunnan, China.
Zhijun ZengYunnan Provincial Key Laboratory of Public Health and Biosafety & Institute for AIDS/STD Control and Prevention, Yunnan Center for Disease Control and Prevention, Kunming, Yunnan, China.
Pengyan SunYunnan Provincial Key Laboratory of Public Health and Biosafety & Institute for AIDS/STD Control and Prevention, Yunnan Center for Disease Control and Prevention, Kunming, Yunnan, China.
Yanling MaYunnan Provincial Key Laboratory of Public Health and Biosafety & Institute for AIDS/STD Control and Prevention, Yunnan Center for Disease Control and Prevention, Kunming, Yunnan, China.
Yuhua ShiYunnan Provincial Key Laboratory of Public Health and Biosafety & Institute for AIDS/STD Control and Prevention, Yunnan Center for Disease Control and Prevention, Kunming, Yunnan, China. 511016604@qq.com.
Min ChenYunnan Provincial Key Laboratory of Public Health and Biosafety & Health Laboratory Center, Yunnan Center for Disease Control and Prevention, Kunming, Yunnan, China. chenminyx@hotmail.com.
Manhong JiaYunnan Provincial Key Laboratory of Public Health and Biosafety & Institute for AIDS/STD Control and Prevention, Yunnan Center for Disease Control and Prevention, Kunming, Yunnan, China. jiamanhong@hotmail.com.

Funding

National Natural Science Foundation of China 82160635Yunnan Health Training Project of High Level Talents L-2024020
6 · The paper itself

Abstract

backgroundHonghe Prefecture, located on the China-Vietnam border, has long suffered from HIV-1. To accurately assess the HIV-1 prevalence situation and promote precise prevention and treatment of AIDS, a recent infection surveillance was conducted to explore the at-risk subpopulations and hotspot areas of HIV-1 transmission in Honghe Prefecture.

methodsCombined with the recent infection testing algorithm, HIV-1 recency assay was used to differentiate recent HIV-1 infections among newly reported HIV-1 cases in Honghe Prefecture from 2021 to 2022. Factors associated with recent HIV-1 infection were analyzed by logistic regression. The hotspot areas of recent infections were analyzed by spatial scanning statistics.

resultsOf the 2698 HIV-1-infected individuals enrolled in this study (no HIV-2 cases reported), 297 HIV-1 cases were classified as recent HIV-1 infection, and the proportion of recent infection was 11.0%. Females (AOR = 2.61, 95% CI: 1.98-3.43), young people (15-34 years old) (AOR = 1.71, 95% CI: 1.21-2.43), highly educated people (AOR = 2.04, 95% CI: 1.24-3.37), men who have sex with men (MSM) (AOR = 3.08, 95% CI: 1.74-5.46), and spouses/regular sexual partners of HIV-1-positive individuals (AOR = 1.96, 95% CI: 1.15-3.33) were more likely to be detected as recent infections. Among the subpopulations by sex, age and transmission route, heterosexually exposed women aged 15-34 years (OR = 1.85, 95% CI: 1.07-3.19) and 35-49 years (OR = 1.65, 95% CI: 1.05-2.58) and MSM aged 15-34 years (OR = 5.11, 95% CI: 2.73-9.59) had a higher proportion of recent infections. Among the subpopulations by mode of exposure and sex, men infected through homosexual contact (OR = 5.59, 95% CI: 3.30-9.47) and women infected through non-marital non-commercial heterosexual contact (OR = 2.10, 95% CI: 1.50-2.95) and positive spousal exposure (OR = 3.03, 95% CI: 1.96-4.69) had a higher proportion of recent infections. With regard to detection methods, women detected by provider-initiated HIV testing counseling (PITC) (OR = 2.03, 95% CI: 1.50-2.76) and spouse/sexual partner testing (OR = 4.10, 95% CI: 2.19-7.67) had a higher proportion of recent infections. A statistically significant spatial cluster of recent infections was found in one county, Yuanyang.

conclusionsThis study investigated the use of HIV-1 recency testing in combination with HIV-1 case report surveillance. Correlation factor analysis revealed the presence of distinct risk subpopulations. The spatial distribution of recent infections showed differences. These findings were important for assessing the transmission risk and developing the targeted measures for interventions. CLINICAL TRIAL NUMBER: Not applicable.

Indexed as

Disease HotspotHIV-1HIV InfectionsAdolescentAdultChinaFemaleHumansMaleMiddle AgedPopulation SurveillancePrevalenceRisk FactorsYoung AdultHIV-1Recent infectionSpatial analysisYunnan

Identifiers

PMID40128682
PMCPMC11934778

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.