A study on the relationship between air pollution and pulmonary tuberculosis based on the general additive model in Wulumuqi, China

被引:36
|
作者
Yang, Jiandong [1 ]
Zhang, Mengxi [2 ]
Chen, Yanggui [1 ]
Ma, Li [1 ]
Yadikaer, Rayibai [3 ]
Lu, Yaoqin [4 ,5 ]
Lou, Pengwei [6 ]
Pu, Yujiao [7 ]
Xiang, Ran [7 ]
Rui, Baolin [1 ]
机构
[1] Wulumuqi Ctr Dis Control & Prevent, Dept TB Control & Prevent, Urumqi, Xinjiang, Peoples R China
[2] Tulane Sch Publ Hlth & Trop Med, Ctr Studies Displaced Populat, Dept Global Community Hlth & Behav Sci, Urumqi, Peoples R China
[3] Hlth Inspect Hlth & Family Planning Commiss Xinji, Urumqi, Peoples R China
[4] Xinjiang Med Univ, Dept Occupat & Environm Hlth, Sch Publ Hlth, Urumqi, Xinjiang, Peoples R China
[5] Wulumuqi Ctr Dis Control & Prevent, Sci & Educ Dept, Urumqi, Xinjiang, Peoples R China
[6] Xinjiang Med Univ, Affiliated Hosp 4, Med Records Stat Room, Urumqi, Xinjiang, Peoples R China
[7] Xinjiang Med Univ, Sch Publ Hlth, Dept Epidemiol & Hlth Stat, Urumqi, Xinjiang, Peoples R China
关键词
Tuberculosis; Air pollutants; General additive model; POLLUTANTS;
D O I
10.1016/j.ijid.2020.03.032
中图分类号
R51 [传染病];
学科分类号
100401 ;
摘要
Objective: This study aimed to explore the impact of atmospheric pollutants on the incidence of tuberculosis (TB), and provide new ideas for the prevention and control of TB in the future. Methods: It explored the relationship between air pollutants and meteorological factors, as well as between air pollutants and heating through Spearman correlation analysis and rank sum test. Additionally, it analyzed the relationship between air pollutants and TB incidence using the general additive model. Statistical analysis results at the p < 0.05 level were considered significant. Results: Three months after exposure to air pollutants (PM2.5, SO2, NO2, and CO) TB incidence increased. However, TB incidence increased 9 months after exposure to PM10. The single pollutant model showed when concentrations of PM2.5, PM10, SO2, NO2, CO, and O-3 increased by 1 mg/m(3) (or 1 mg/m(3)), the number of TB cases increased by 0.09%, 0.08%, 0.58%, 0.42%, 6.9%, and 0.57%, respectively. The optimal multi-pollutant model was a two-factor model (PM10 + NO2). Conclusion: Air pollutants including PM2.5, PM10, SO2, NO2, CO, and O-3 increased the risk of TB. Few studies have been conducted in this area of research, especially regarding the mechanism. The results of this study should contribute to the understanding of TB incidence and prompt additional research. (C) 2020 The Author(s). Published by Elsevier Ltd on behalf of International Society for Infectious Diseases.
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页码:42 / 47
页数:6
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