Evidence map›Paper›PMID 41087548›Full record

ArticleScientific reports2025

Epidemic trend and spatial-temporal analysis of pulmonary tuberculosis in Hotan prefecture, xinjiang, china, 2015-2021.

Yilipa Yilihamu, Peiyao Zhou, Nuerbiye Yuemaier, Di Wu, Yu Shi, Yanling Zheng, Liping Zhang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 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

7 authors.

Yilipa Yilihamu *Institute of Medical Engineering Interdisciplinary Research, College of Medical Engineering and Technology, Xinjiang Medical University, Urumqi, 830017, China.
Peiyao Zhou *Institute of Medical Engineering Interdisciplinary Research, College of Medical Engineering and Technology, Xinjiang Medical University, Urumqi, 830017, China.
Nuerbiye YuemaierCenter for Disease Control and Prevention of Hotan Prefecture in Xinjiang, Hotan, 848099, China.
Di WuInstitute of Medical Engineering Interdisciplinary Research, College of Medical Engineering and Technology, Xinjiang Medical University, Urumqi, 830017, China.
Yu ShiInstitute of Medical Engineering Interdisciplinary Research, College of Medical Engineering and Technology, Xinjiang Medical University, Urumqi, 830017, China.
Yanling ZhengInstitute of Medical Engineering Interdisciplinary Research, College of Medical Engineering and Technology, Xinjiang Medical University, Urumqi, 830017, China.
Liping ZhangInstitute of Medical Engineering Interdisciplinary Research, College of Medical Engineering and Technology, Xinjiang Medical University, Urumqi, 830017, China. zhanglp1219@163.com.

Funding

National Natural Science Foundation of China 72174175Xinjiang Outstanding Young Talent Program 2024TSYCCX0080
6 · The paper itself

Abstract

Globally, tuberculosis remains a significant public health concern. The 2022 World Health Organization report indicates that approximately 10.6 million people are infected with tuberculosis annually worldwide, resulting in 1.6 million deaths. In 2021, China ranked as the third country with the highest tuberculosis burden globally, following India and Indonesia. Xinjiang, as the westernmost region of China, experiences the most severe tuberculosis incidence. This study focuses on the Hotan region of Xinjiang, utilizing spatio-temporal statistical methods to investigate the local tuberculosis incidence trends from 2015 to 2021 and analyze potential influencing factors. Spatial autocorrelation and spatiotemporal scanning techniques were employed to assess the tuberculosis incidence trend. Furthermore, geographically weighted regression was utilized to examine the impact of meteorological and air pollution factors on tuberculosis incidence in the Hotan area from a spatial perspective. The findings revealed spatial heterogeneity in the distribution of pulmonary tuberculosis (PTB) in the Hotan area, with the identification of four spatial clusters through local spatial autocorrelation analysis. Spatiotemporal scan analysis confirmed the presence of two cluster types. Geographically weighted regression analysis identified three influencing factors, with daily average temperature showing a negative correlation with tuberculosis incidence, while PM10 and SO

Indexed as

Spatio-Temporal AnalysisTuberculosis, PulmonaryAdolescentAdultAgedAir PollutionChildChild, PreschoolChinaEpidemicsFemaleHumansIncidenceInfantMaleMiddle AgedEpidemic trendGeographically weighted regression modelPulmonary tuberculosisSpatial–temporal analysis

Identifiers

PMID41087548
PMCPMC12521492

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.