IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v16y2019i9p1585-d228661.html
   My bibliography  Save this article

Temporal Cross-Correlations between Ambient Air Pollutants and Seasonality of Tuberculosis: A Time-Series Analysis

Author

Listed:
  • Hua Wang

    (Department of Infectious Disease Control, Kunshan Centers for Disease Control and Prevention, Kunshan 215300, China)

  • Changwei Tian

    (Department of Infectious Disease Control, Kunshan Centers for Disease Control and Prevention, Kunshan 215300, China)

  • Wenming Wang

    (Department of Infectious Disease Control, Kunshan Centers for Disease Control and Prevention, Kunshan 215300, China)

  • Xiaoming Luo

    (Department of Infectious Disease Control, Kunshan Centers for Disease Control and Prevention, Kunshan 215300, China
    Department of Public Health, Soochow University, Kunshan 215300, China)

Abstract

The associations between ambient air pollutants and tuberculosis seasonality are unclear. We assessed the temporal cross-correlations between ambient air pollutants and tuberculosis seasonality. Monthly tuberculosis incidence data and ambient air pollutants (PM 2.5 , PM 10 , carbon monoxide (CO), nitrogen dioxide (NO 2 ), ozone (O 3 ), sulfur dioxide (SO 2 )) and air quality index (AQI) from 2013 to 2017 in Shanghai were included. A cross-correlogram and generalized additive model were used. A 4-month delayed effect of PM 2.5 (0.55), PM 10 (0.52), SO 2 (0.47), NO 2 (0.40), CO (0.39), and AQI (0.45), and a 6-month delayed effect of O 3 (−0.38) on the incidence of tuberculosis were found. The number of tuberculosis cases increased by 8%, 4%, 18%, and 14% for a 10 μg/m 3 increment in PM 2.5 , PM 10 , SO 2 , and NO 2 ; 4% for a 10 unit increment in AQI; 8% for a 0.1 mg/m 3 increment in CO; and decreased by 4% for a 10 μg/m 3 increment in O 3 . PM 2.5 concentrations above 50 μg/m 3 , 70 μg/m 3 for PM 10 , 16 μg/m 3 for SO 2 , 47 μg/m 3 for NO 2 , 0.85 mg/m 3 for CO, and 85 for AQI, and O 3 concentrations lower than 95 μg/m 3 were positively associated with the incidence of tuberculosis. Ambient air pollutants were correlated with tuberculosis seasonality. However, this sort of study cannot prove causality.

Suggested Citation

  • Hua Wang & Changwei Tian & Wenming Wang & Xiaoming Luo, 2019. "Temporal Cross-Correlations between Ambient Air Pollutants and Seasonality of Tuberculosis: A Time-Series Analysis," IJERPH, MDPI, vol. 16(9), pages 1-11, May.
  • Handle: RePEc:gam:jijerp:v:16:y:2019:i:9:p:1585-:d:228661
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/16/9/1585/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/16/9/1585/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Anyang Xu & Zhe Mu & Bo Jiang & Wei Wang & Han Yu & Lijuan Zhang & Jue Li, 2017. "Acute Effects of Particulate Air Pollution on Ischemic Heart Disease Hospitalizations in Shanghai, China," IJERPH, MDPI, vol. 14(2), pages 1-11, February.
    2. Dongsheng Zhan & Mei-Po Kwan & Wenzhong Zhang & Shaojian Wang & Jianhui Yu, 2017. "Spatiotemporal Variations and Driving Factors of Air Pollution in China," IJERPH, MDPI, vol. 14(12), pages 1-18, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Qingbin Wei & Lianjun Zhang & Wenbiao Duan & Zhen Zhen, 2019. "Global and Geographically and Temporally Weighted Regression Models for Modeling PM 2.5 in Heilongjiang, China from 2015 to 2018," IJERPH, MDPI, vol. 16(24), pages 1-20, December.
    2. Ying Xiong & Meixia Yang & Zhengzhong Wang & Honglin Jiang & Ning Xu & Yixin Tong & Jiangfan Yin & Yue Chen & Qingwu Jiang & Yibiao Zhou, 2022. "Association of Daily Exposure to Air Pollutants with the Risk of Tuberculosis in Xuhui District of Shanghai, China," IJERPH, MDPI, vol. 19(10), pages 1-12, May.
    3. Junnan Xiong & Chongchong Ye & Tiancai Zhou & Weiming Cheng, 2019. "Health Risk and Resilience Assessment with Respect to the Main Air Pollutants in Sichuan," IJERPH, MDPI, vol. 16(15), pages 1-19, August.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Marissa Parry & Donna Green & Ying Zhang & Andrew Hayen, 2019. "Does Particulate Matter Modify the Short-Term Association between Heat Waves and Hospital Admissions for Cardiovascular Diseases in Greater Sydney, Australia?," IJERPH, MDPI, vol. 16(18), pages 1-16, September.
    2. Feng Han & Xingcheng Lu & Cuicui Xiao & Miao Chang & Ke Huang, 2019. "Estimation of Health Effects and Economic Losses from Ambient Air Pollution in Undeveloped Areas: Evidence from Guangxi, China," IJERPH, MDPI, vol. 16(15), pages 1-16, July.
    3. Xuyan Wang & Chuanhua Yu & Yunquan Zhang & Fang Shi & Runtang Meng & Yong Yu, 2020. "Attributable Risk and Economic Cost of Cardiovascular Hospital Admissions Due to Ambient Particulate Matter in Wuhan, China," IJERPH, MDPI, vol. 17(15), pages 1-14, July.
    4. Dongsheng Zhan & Qianyun Zhang & Xiaoren Xu & Chunshui Zeng, 2022. "Spatiotemporal Distribution of Continuous Air Pollution and Its Relationship with Socioeconomic and Natural Factors in China," IJERPH, MDPI, vol. 19(11), pages 1-17, May.
    5. Wanglin Xu & Xingyuan Liu & Zenghui Huang & Yating Du & Biao Zhang & Qiaomai Wang & Jing Xiang & Yuliang Zou & Lu Ma, 2021. "Acute Effects of Air Pollution on Ischemic Heart Disease Hospitalizations: A Population-Based Time-Series Study in Wuhan, China, 2017–2018," IJERPH, MDPI, vol. 18(23), pages 1-14, November.
    6. Yu Song & Bingrui Liu & Xiaohong Chen & Jia Liu, 2020. "Atmospheric Pollution Mapping of the Yangtze River Basin: An AQI-Based Weighted Co-Word Analysis," IJERPH, MDPI, vol. 17(3), pages 1-16, January.
    7. Dongyang Nie & Mindong Chen & Yun Wu & Xinlei Ge & Jianlin Hu & Kai Zhang & Pengxiang Ge, 2018. "Characterization of Fine Particulate Matter and Associated Health Burden in Nanjing," IJERPH, MDPI, vol. 15(4), pages 1-12, March.
    8. Qingbin Wei & Lianjun Zhang & Wenbiao Duan & Zhen Zhen, 2019. "Global and Geographically and Temporally Weighted Regression Models for Modeling PM 2.5 in Heilongjiang, China from 2015 to 2018," IJERPH, MDPI, vol. 16(24), pages 1-20, December.
    9. Herman Bagula & Toyib Olaniyan & Kees de Hoogh & Apolline Saucy & Bhawoodien Parker & Joy Leaner & Martin Röösli & Mohamed Aqiel Dalvie, 2021. "Ambient Air Pollution and Cardiorespiratory Outcomes amongst Adults Residing in Four Informal Settlements in the Western Province of South Africa," IJERPH, MDPI, vol. 18(24), pages 1-13, December.
    10. Li Yue & Dan Xue & Muhammad Umar Draz & Fayyaz Ahmad & Jiaojiao Li & Farrukh Shahzad & Shahid Ali, 2020. "The Double-Edged Sword of Urbanization and Its Nexus with Eco-Efficiency in China," IJERPH, MDPI, vol. 17(2), pages 1-20, January.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:16:y:2019:i:9:p:1585-:d:228661. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.