Evidence map›Paper›PMID 41450522›Full record

ArticleFrontiers in public health2025

Analysis of influencing factors of AIDS epidemic in Kunming based on PCA-GWR method.

LiangTing Zheng, Bin Liao, Yi Li, Jun Lian, Jingying Wang, Yanli Ma, Ruilin Feng, Wenying Hu, Xianfu Bai

Abstract read
In one paragraph

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.

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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

9 authors.

LiangTing Zheng *Yunnan Earthquake Agency, Kunming, China.
Bin Liao *AIDS/STD Control and Prevention, Kunming Center for Disease Control and Prevention, Kunming, China.
Yi LiAIDS/STD Control and Prevention, Kunming Center for Disease Control and Prevention, Kunming, China.
Jun LianAIDS/STD Control and Prevention, Kunming Center for Disease Control and Prevention, Kunming, China.
Jingying WangAIDS/STD Control and Prevention, Kunming Center for Disease Control and Prevention, Kunming, China.
Yanli MaAIDS/STD Control and Prevention, Kunming Center for Disease Control and Prevention, Kunming, China.
Ruilin FengAIDS/STD Control and Prevention, Kunming Center for Disease Control and Prevention, Kunming, China.
Wenying HuFaculty of Geography, Yunnan Normal University, Kunming, China.
Xianfu BaiYunnan Earthquake Agency, Kunming, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: As of 2024, an estimated 40.8 million people worldwide were living with HIV, making HIV/AIDS one of the most pressing global public health challenges. Accurate identification of the factors shaping the HIV/AIDS epidemic is essential for developing targeted prevention and control strategies. Methods: This study uses Principal Component Analysis (PCA) and Geographically Weighted Regression (GWR) to examine spatially varying associations between HIV/AIDS prevalence and three domains-socioeconomic conditions, educational attainment, and healthcare capacity-using Kunming, China, as a case study. Results: The results indicate that: (1) the effects of socioeconomic conditions, educational attainment, and healthcare capacity on HIV/AIDS prevalence exhibit significant spatial heterogeneity across Kunming; (2) in the northern part of Kunming-particularly Dongchuan District, Luquan County, Xundian County, and Fumin County-higher prevalence is largely associated with the combined influence of lower economic development and limited educational attainment, with economic development negatively correlated with prevalence and lower educational levels positively correlated with infection rates; and (3) HIV/AIDS prevalence is also related to the level of healthcare services, which is generally negatively correlated with prevalence-i.e., better healthcare conditions are associated with lower infection rates-although areas with more advanced healthcare systems may show higher detection and reporting. Conclusion: The AIDS epidemic results from the interplay of multiple factors, with dominant determinants varying geographically. These findings provide spatially explicit evidence to guide targeted policy development and resource allocation.

Indexed as

Acquired Immunodeficiency SyndromeEpidemicsAdultChinaEducational StatusFemaleHIV InfectionsHumansMaleMiddle AgedPrevalencePrincipal Component AnalysisSocioeconomic FactorsSpatial Regressiongeographically weighted regressionHIV/AIDSinfluencing factorKunming cityprincipal component analysis

Identifiers

PMID41450522
PMCPMC12728035

What Socratic holds

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LicenceCC BY
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Registered trials

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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 Socratic graph.