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Associations of PM2.5 and aspergillosis: ambient fine particulate air pollution and population-based big data linkage analyses

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Abstract

A substantial amount of reports has been published on the association between the environment Aspergillus conidia and fine particulates, while limited studies have focused on the association between invasive aspergillosis and ambient fine particulate air pollution. The aim of this study is to explore the population-level association between ambient fine particulate PM2.5 air pollution and invasive aspergillosis. We designed multiple powerful systems applied to a unique collection of long-term and nationwide database of daily ambient PM2.5 levels and invasive aspergillosis incidence in Taiwan. Two data sets were leveraged for this study; the National Health Insurance Research Database and the Taiwan air quality monitoring network. The National Health Insurance Research Database was used to define invasive aspergillosis while the Taiwan air quality monitoring network was used to profile the PM2.5 concentration in Taiwan. We adopted the cases of invasive aspergillosis infection from the system with PM2.5 levels. A total of 1,000,000 patients during the study period (1999–2009) were included in the data set.The findings of this study suggest positive association between PM2.5 concentration and incidence of aspergillosis. Furthermore, monthly-wise invasive aspergillosis case number potentially demonstrated lagged pattern following peaking of PM2.5 concentration.

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Acknowledgements

This work was funded by the Ministry of Science and Technology (MOST), Taiwan, under Grant Number MOST 106-3114-M-029-001-A. In addition, this work was also funded in part by the Taichung Veterans General Hospital (TCVGH), Taiwan, under Grant Number TCVGH-T1077803.

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Authors and Affiliations

  1. Department of Internal Medicine, Taichung Veterans General Hospital, 407, No. 1650, Section 4, Taiwan Boulevard, Taichung, Taiwan

    Po-Yu Liu & Zhi-Yuan Shi

  2. Department of Emergency Medicine, Institute of Occupational Medicine, Taichung Veterans General Hospital, 407, No. 1650, Section 4, Taiwan Boulevard, Taichung, Taiwan

    Yu-Tse Tsan & Wei-Chen Chan

  3. School of Medicine, Chung Shan Medical University, Taichung, Taiwan

    Yu-Tse Tsan

  4. College of Computing and Informatics, Providence University, 200, Sec. 7, Taiwan Boulevard, Shalu Dist., Taichung, Taiwan

    Yu-Wei Chan

  5. Department of Computer Science, Tunghai University, No. 1727, Sec. 4, Taiwan Boulevard, Xitun District, Taichung, 40704, Taiwan

    Chao-Tung Yang & Ben-Shen Lou

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Correspondence to Chao-Tung Yang.

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Po-Yu Liu declares that he has no conflict of interest. Yu-Tse Tsan declares that he has no conflict of interest. Yu-Wei Chan declares that he has no conflict of interest. Wei-Chen Chan declares that he has no conflict of interest. Zhi-Yuan Shi declares that he has no conflict of interest. Chao-Tung Yang declares that he has no conflict of interest. Ben-Shen Lou declares that he has no conflict of interest.

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Liu, PY., Tsan, YT., Chan, YW. et al. Associations of PM2.5 and aspergillosis: ambient fine particulate air pollution and population-based big data linkage analyses. J Ambient Intell Human Comput 15, 1837–1847 (2024). https://doi.org/10.1007/s12652-018-0852-x

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