Evidence map›Paper›PMID 40603496›Full record

ArticleScientific reports2025

Predictive modelling of air pollution affecting human tuberculosis risk on Mainland China.

Boli Qin, Rongqing He, Xiaopeng Qin, Jiayan Jiang, Chenxing Zhou, Songze Wu, Jichong Zhu, Shaofeng Wu, Jiarui Chen, Jiang Xue and 4 more

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. Not yet cited in PubMed.

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

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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

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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

14 authors.

Boli Qin *The First Affiliated Hospital of Guangxi Medical University, No.6 Shuangyong Road, Nanning, 530021, Guangxi, People's Republic of China.
Rongqing He *The First Affiliated Hospital of Guangxi Medical University, No.6 Shuangyong Road, Nanning, 530021, Guangxi, People's Republic of China.
Xiaopeng Qin *The First Affiliated Hospital of Guangxi Medical University, No.6 Shuangyong Road, Nanning, 530021, Guangxi, People's Republic of China.
Jiayan JiangXuzhou Medical University, No.209 Tongshan Road, Xuzhou, 221004, Jiangsu, People's Republic of China.
Chenxing ZhouThe First Affiliated Hospital of Guangxi Medical University, No.6 Shuangyong Road, Nanning, 530021, Guangxi, People's Republic of China.
Songze WuThe First Affiliated Hospital of Guangxi Medical University, No.6 Shuangyong Road, Nanning, 530021, Guangxi, People's Republic of China.
Jichong ZhuThe First Affiliated Hospital of Guangxi Medical University, No.6 Shuangyong Road, Nanning, 530021, Guangxi, People's Republic of China.
Shaofeng WuThe First Affiliated Hospital of Guangxi Medical University, No.6 Shuangyong Road, Nanning, 530021, Guangxi, People's Republic of China.
Jiarui ChenThe First Affiliated Hospital of Guangxi Medical University, No.6 Shuangyong Road, Nanning, 530021, Guangxi, People's Republic of China.
Jiang XueThe First Affiliated Hospital of Guangxi Medical University, No.6 Shuangyong Road, Nanning, 530021, Guangxi, People's Republic of China.
Kechang HeHIV/AIDS Clinical Treatment Center of Guangxi (Nanning) and The Fourth People's Hospital of Nanning, No. 1, Lane 2, Changgang Road, Nanning, 530023, Guangxi, People's Republic of China.
Chong LiuThe First Affiliated Hospital of Guangxi Medical University, No.6 Shuangyong Road, Nanning, 530021, Guangxi, People's Republic of China.
Jie MaHIV/AIDS Clinical Treatment Center of Guangxi (Nanning) and The Fourth People's Hospital of Nanning, No. 1, Lane 2, Changgang Road, Nanning, 530023, Guangxi, People's Republic of China. mj-friend@163.com.
Xinli ZhanThe First Affiliated Hospital of Guangxi Medical University, No.6 Shuangyong Road, Nanning, 530021, Guangxi, People's Republic of China. zhanxinli@stu.gxmu.edu.cn.

Funding

Guangxi Young and Middle aged Teacher's Basic Ability Promoting Project 2023KY0115Joint Project on Regional High-Incidence Diseases Research of Guangxi Natural Science Foundation 2023JJA140227The National Natural Science Foundation of China 82360422
6 · The paper itself

Abstract

In this study, we investigated the correlation between air pollution indicators and pulmonary tuberculosis (TB) incidence and mortality rates across provincial administrative regions of China from January 2013 to December 2020 to develop predictive models using machine learning. Data on TB rates and six air pollution indicators were collected and analyzed for correlations. Regression models were built using six algorithms, among which the random forest (RF) model showed superior performance. SHapley Additive exPlanations analysis helped interpret the RF model's predictions. Seasonal and lag analyses identified a 10-month optimal lag period. Seasonal autoregressive integrated moving average models were used to predict 2020 TB incidence rates, which were validated by comparing them with actual data. The results indicated significant correlations between air pollution and TB rates, highlighting that air pollution data can predict TB incidence and mortality; therefore, air pollution data can help develop public health strategies. This study emphasized the importance of integrating environmental factors into TB control efforts using artificial intelligence.

Indexed as

Air PollutionTuberculosisTuberculosis, PulmonaryAir PollutantsChinaHumansIncidenceMachine LearningSeasonsAir PollutantsAir pollutionMachine learningTuberculosis

Identifiers

PMID40603496
PMCPMC12223263

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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.