Evidence map›Paper›PMID 39237891›Full record

ArticleBMC public health2024

Application of 'CDC- Public Security Bureau-NGO' Joint Prevention and Control Mechanism Allied AIDS prevention and control in Guigang, Guangxi.

Xing Tao, Yunxuan Huang, Pingzuo Zheng, Gang Wang, Yuexiang Xu, Yongfeng Chen, Benben Deng, Xiu Chen, Tongxue Qin, Yinlu Liao and 8 more

Abstract read
In one paragraph

Article in BMC public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

18 authors.

Xing Tao *Guangxi Key Laboratory of AIDS Prevention and Treatment, School of Public Health, Guangxi Medical University, Nanning, Guangxi, China.
Yunxuan Huang *Guigang Center for Disease Control and Prevention, Guigang, Guangxi, China.
Pingzuo Zheng *Guigang Center for Disease Control and Prevention, Guigang, Guangxi, China.
Gang WangGuangxi Key Laboratory of AIDS Prevention and Treatment, School of Public Health, Guangxi Medical University, Nanning, Guangxi, China.
Yuexiang XuGuigang Center for Disease Control and Prevention, Guigang, Guangxi, China.
Yongfeng ChenGuigang Center for Disease Control and Prevention, Guigang, Guangxi, China.
Benben DengGuigang Center for Disease Control and Prevention, Guigang, Guangxi, China.
Xiu ChenGuangxi Key Laboratory of AIDS Prevention and Treatment, School of Public Health, Guangxi Medical University, Nanning, Guangxi, China.
Tongxue QinGuangxi Key Laboratory of AIDS Prevention and Treatment, School of Public Health, Guangxi Medical University, Nanning, Guangxi, China.
Yinlu LiaoGuangxi Key Laboratory of AIDS Prevention and Treatment, School of Public Health, Guangxi Medical University, Nanning, Guangxi, China.
Minjuan ShiGuangxi Key Laboratory of AIDS Prevention and Treatment, School of Public Health, Guangxi Medical University, Nanning, Guangxi, China.
Beibei LuGuangxi Key Laboratory of AIDS Prevention and Treatment, School of Public Health, Guangxi Medical University, Nanning, Guangxi, China.
Yuting WuGuangxi Key Laboratory of AIDS Prevention and Treatment, School of Public Health, Guangxi Medical University, Nanning, Guangxi, China.
Jinmiao LiGuangxi Key Laboratory of AIDS Prevention and Treatment, School of Public Health, Guangxi Medical University, Nanning, Guangxi, China.
Li YeGuangxi Key Laboratory of AIDS Prevention and Treatment, School of Public Health, Guangxi Medical University, Nanning, Guangxi, China. yeli@gxmu.edu.cn.
Hao LiangGuangxi Key Laboratory of AIDS Prevention and Treatment, School of Public Health, Guangxi Medical University, Nanning, Guangxi, China. lianghao@gxmu.edu.cn.
Fashuang WeiGuigang Center for Disease Control and Prevention, Guigang, Guangxi, China. ggaids@126.com.
Junjun JiangGuangxi Key Laboratory of AIDS Prevention and Treatment, School of Public Health, Guangxi Medical University, Nanning, Guangxi, China. jiangjunjun@gxmu.edu.cn.

Funding

Guangxi Medical University Training Program for Distinguished Young Scholars to Junjun JiangGuangxi Science and Technology Base and Talent Project GUIKE AD21220013
6 · The paper itself

Abstract

backgroundHIV/AIDS has emerged as a nationwide epidemic and has taken the forefront position as the primary infectious killer of adults in China. The control and prevention of the disease have been hampered by a weak link in the form of heterosexual transmission. However, conventional intervention measures have demonstrated suboptimal efficacy in reducing the incidence of new HIV infections. In light of the current epidemiological characteristics, we have developed and executed an innovative intervention model known as the Joint Prevention and Control Mechanism of the 'CDC-Public Security Bureau-NGO'. The purpose of this research is to assess the impact of this model on the AIDS awareness, HIV infection rates, sexual behavior, and associated factors among female sex workers and elderly clients. Through the provision of robust evidence of the efficacy of this innovative model, we seek to advocate for its implementation in future interventions.

methodsThe research design of this study incorporates both a serial cross-sectional study and time-series analysis from 2014 to 2021, including a 4-year traditional intervention (2014-2017) and the 4-year 'CDC-Public Security Bureau-NGO' innovative intervention (2018-2021), was conducted to evaluate the effects of the new intervention. The GM(1, 1) model was performed to predict the proportion of HIV infection without implementing the innovative intervention in 2018-2021; P and C values were used to evaluate the performance of the model. Mann-Kendall test and descriptive methods were used to analyzed the trend of traditional and innovative interventions models on HIV positive detection rate in FSWs and elderly clients.

resultsThe condom usage rates during the last commercial sexual encounter for FSWs and elderly clients improved from 74.9% and 9.1%, respectively, to 96.9% and 28.1%. (P < 0.05), newly reported cases of HIV have decreased by 15.56% yearly and the HIV positive detection rate among middle-aged and elderly people has dropped by 14.47%. The innovative intervention model has significantly reduced the HIV infection rates.

conclusionsThe 'CDC-Public Security Bureau-NGO' innovative intervention has achieved beneficial effects on HIV/AIDS prevention and control and provides a good reference for Guangxi, China.

Indexed as

HIV InfectionsAcquired Immunodeficiency SyndromeAdultAgedCenters for Disease Control and Prevention, U.S.ChinaCross-Sectional StudiesFemaleHealth Knowledge, Attitudes, PracticeHumansMaleMiddle AgedSexual BehaviorSex WorkersUnited StatesYoung AdultElderly clientsFemale sex workersGM(1, 1)HIV/AIDSMultisectoral intervention

Identifiers

PMID39237891
PMCPMC11375977

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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.