Evidence map›Paper›PMID 41642886›Full record

ArticlePloS one2026

Spatiotemporal aggregation and population distribution characteristics of HIV/AIDS in Nanchang city: A monitoring analysis from 2012-2021.

Li Wang, Liang Lu, Zhibin Tu, Liping Qiu, Xiaoqin Tong, Jinyi Sun, Rui Liu

Abstract read
In one paragraph

Article in PloS one, 2026. 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

7 authors.

Li WangNanchang Center for Disease Control and Prevention, Nanchang, China.
Liang LuNanchang Center for Disease Control and Prevention, Nanchang, China.
Zhibin TuNanchang Center for Disease Control and Prevention, Nanchang, China.
Liping QiuNanchang Center for Disease Control and Prevention, Nanchang, China.
Xiaoqin TongNanchang Center for Disease Control and Prevention, Nanchang, China.
Jinyi SunShenzhen Bao'an District Chronic Disease Prevention and Treatment Hospital, Shenzhen, China.
Rui LiuNanchang Center for Disease Control and Prevention, Nanchang, China.ORCID https://orcid.org/0009-0001-9769-4269

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

AIDS is a major public health issue. As a transportation and economic hub in central China, Nanchang has frequent population mobility and unbalanced regional development, making it urgent to explore the prevalence characteristics of HIV/AIDS. Based on HIV/AIDS surveillance data in Nanchang from 2012 to 2021, this study innovatively integrates the Joinpoint regression model with spatiotemporal geographic information technology to construct an epidemiological analysis framework of "time-space-population". The results show that a total of 3,789 HIV/AIDS infection cases were reported in the decade, with the growth rate of new cases (5.4%) significantly higher than the population growth rate (2.1%). There is a negative correlation between incidence and mortality, and men and the elderly (≥65 years old) are at prominent infection risk. Spatially, cases show significant heterogeneity, with "high-high" clustering areas concentrated in the city center and gradually expanding to surrounding areas, which is related to factors such as population density. The study provides a scientific basis for targeted interventions for men and the elderly, optimization of prevention and control strategies, and regional collaboration.

Indexed as

Acquired Immunodeficiency SyndromeHIV InfectionsAdultAgedChinaCitiesFemaleHumansIncidenceMaleMiddle AgedPopulation DensityPrevalenceSpatio-Temporal Analysis

Identifiers

PMID41642886
PMCPMC12875437

What OpenQuestion 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 OpenQuestion graph.