Study on the impact of common air pollution indicators on tuberculosis incidence in high-TB-burden countries worldwide
Bibliographic Data
| ID | 22084114 |
|---|---|
| Authors | Minli Chang (Xinjiang Medical University), Zhifei Chen (0000-0002-3475-6979, Xinjiang Medical University), Xiaodie Chen (0000-0002-0782-2707, Xinjiang Medical University), Xilong Du (0000-0001-9152-5344, Xinjiang Medical University), Nana Zhang (0009-0007-3480-0953, Xinjiang Medical University), Dongmei Lu (People's Hospital of Xinjiang Uygur Autonomous Region), Liping Zhang (0000-0003-1903-6612, Xinjiang Medical University), Yanling Zheng (0000-0001-9003-3153, Xinjiang Medical University, corresponding author) |
| Year | 2025 |
| Volume | 13 |
| Pages | 1628290-1628290 |
| Publication date | 2025-11-03 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Frontiers in Public Health (JOURNAL) |
| Journal identifiers | ISSN: 2296-2565 • E-ISSN: 2296-2565 |
| Publisher | Frontiers Media SA (PUBLISHER • CH) |
| DOI | 10.3389/fpubh.2025.1628290 |
| PMID | 41256266 |
| OpenAlex | W4415783325 |
| Language | EN |
| References cited | 43 |
Objective To explore the effect of air pollution on tuberculosis (TB) in multiple countries and to provide a scientific reference for air pollution treatment and tuberculosis prevention and control. Methods Spearman’s correlation analysis and generalized additive models of air pollution indicators and the annual incidence of tuberculosis in the top 20 countries with global tuberculosis incidence in 2021 were conducted to investigate the association effect between air pollution and tuberculosis incidence globally from 1990 to 2020. Results The severity of the global TB epidemic in 2021 varied widely among countries, and Spearman’s correlation analyses showed a positive correlation between TB incidence and Household air pollution (HAP; r HAP = 0.476) and negative correlations between NO 2 , O 3 , PM, and Gross domestic product (GDP) and TB incidence (r NO2 = −0.622, r O3 = −0.419, r PM = −0.323, and r GDP = −0.477). By examining the effects of influencing factor interactions on the development of tuberculosis, it was found that at HAP < 0.2, TB incidence tended to increase with increasing NO 2 , and the risk of TB incidence increased at lower NO 2 (2–6 ppb) and O 3 < 40 μg / m 3 . Conclusion There is a synergistic amplification of the increase in TB incidence by HAP, O 3 , GDP, and NO 2 , with low NO 2 concentrations, low HAP, and high O 3 conditions favouring TB. The incidence of TB is adversely affected by air pollution to varying degrees across countries; therefore, countries can target preventive measures to reduce the risk of TB
Air pollutants · Air pollution · Public health · Tuberculosis · Air Quality and Health Impacts · Indoor Air Quality and Microbial Exposure · Tuberculosis Research and Epidemiology
Modifiable risk factors, cardiovascular disease, and mortality in 155 722 individuals from 21 high-income, middle-income, and low-income countries (Pure)
Global burden and strength of evidence for 88 risk factors in 204 countries and 811 subnational locations, 1990–2021
Early Transmission Dynamics in Wuhan, China, of Novel Coronavirus–Infected Pneumonia
The Influence of Air Pollutants and Meteorological Conditions on the Hospitalization for Respiratory Diseases in Shenzhen City, China
Lagged Effects of Exposure to Air Pollutants on the Risk of Pulmonary Tuberculosis in a Highly Polluted Region
Association between biomass cooking fuels and prevalence of tuberculosis among households
| Citation velocity | historical |
|---|---|
| Highly cited | No |