Evidence map›Paper›PMID 40177082›Full record

ArticleFrontiers in public health2025

Interactions among tuberculosis, geographic environment and aerosols: evidence from the Kashgar region of China.

Bo Shang, Chengjing Wei, Chenchen Wang, Yanling Zheng, Liping Zhang

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. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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

5 authors.

Bo Shang *College of Medical Engineering and Technology, Xinjiang Medical University, Urumqi, Xinjiang, China.
Chengjing Wei *School of Public Health, Xinjiang Medical University, Urumqi, Xinjiang, China.
Chenchen WangXinjiang Uygur Autonomous Region Center for Disease Control and Prevention, Urumqi, Xinjiang, China.
Yanling ZhengCollege of Medical Engineering and Technology, Xinjiang Medical University, Urumqi, Xinjiang, China.
Liping ZhangCollege of Medical Engineering and Technology, Xinjiang Medical University, Urumqi, Xinjiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Aerosols can affect human health through mechanisms like inflammation, oxidative stress, immune dysregulation, and respiratory impairment. In high-pollution areas, airborne particles may promote the transmission of pathogens such as Methods: Kriging interpolation and time series observation were used to analyze spatiotemporal trends and identify hot and cold spots of tuberculosis (TB) incidence and air quality in Xinjiang from 2011 to 2023. Kruskal-Wallis and multiple comparisons were applied to assess regional differences. Meteorological clustering and trajectory analysis identified pollutant pathways and potential source areas, with hypotheses proposed for TB transmission routes. Results: The interaction between tuberculosis, the geographic environment, and aerosols in Xinjiang reveals a consistent spatial distribution of air quality index (AQI) and TB incidence, with overlapping hotspots and cold spots. The incidence rate of tuberculosis is " Conclusion: The study highlights a distinct interaction between TB, the geographic environment, and aerosols in southern Xinjiang. Poor air quality and elevated TB incidence overlap, particularly in Kashgar. Here, dust from the Taklimakan Desert, trapped by the Kunlun and Tianshan mountains, intensifies PM

Indexed as

Air PollutionTuberculosisAerosolsAir PollutantsChinaHumansIncidenceParticulate MatterSpatio-Temporal AnalysisAerosolsAir PollutantsParticulate Matterair contaminantpulmonary tuberculosissource analysisspatiotemporal distribution characteristicsunique topography

Identifiers

PMID40177082
PMCPMC11961933

What OpenQuestion holds

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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.