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

Publication date: Jul 02, 2025

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.

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Concepts Keywords
2020tb Air Pollutants
Algorithms Air Pollutants
China Air Pollution
Environmental Air pollution
Tuberculosis China
Humans
Incidence
Machine Learning
Machine learning
Seasons
Tuberculosis
Tuberculosis
Tuberculosis, Pulmonary

Semantics

Type Source Name
drug DRUGBANK Medical air
disease MESH tuberculosis
pathway KEGG Tuberculosis
disease MESH pulmonary tuberculosis
disease MESH lung inflammation
disease MESH oxidative stress
disease IDO cell
drug DRUGBANK Carbon monoxide
drug DRUGBANK Ozone
disease MESH respiratory diseases
disease MESH AIDS
drug DRUGBANK Coenzyme M
disease MESH morbidity
disease IDO pathogen
drug DRUGBANK Rifampicin
disease IDO country
disease IDO process
disease IDO algorithm
disease IDO quality
drug DRUGBANK Tropicamide
drug DRUGBANK Isoxaflutole
disease MESH inflammation
disease IDO host
disease IDO intervention
disease IDO susceptibility
disease IDO blood
drug DRUGBANK Carboxyamidotriazole
disease MESH anomalies
disease IDO production
disease MESH atherosclerosis
disease IDO object
drug DRUGBANK (S)-Des-Me-Ampa
disease MESH infection
disease MESH recurrence
disease MESH reinfection
pathway REACTOME Reproduction

Original Article

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