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Indoor Air Pollution, Related Human Diseases, and Recent Trends in the Control and Improvement of Indoor Air Quality

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  • Vinh Van Tran

    (Department of BioNano Technology, Gachon University, 1342 Seongnam-Daero, Sujeong-Gu, Seongnam-Si, Gyeonggi-do 13120, Korea
    Institute of Research and Development, Duy Tan University, Da Nang 550000, Vietnam)

  • Duckshin Park

    (Korea Railroad Research Institute (KRRI), 176 Cheoldobakmulkwan-ro, Uiwang-si 16105, Gyeonggi-do, Korea)

  • Young-Chul Lee

    (Department of BioNano Technology, Gachon University, 1342 Seongnam-Daero, Sujeong-Gu, Seongnam-Si, Gyeonggi-do 13120, Korea)

Abstract

Indoor air pollution (IAP) is a serious threat to human health, causing millions of deaths each year. A plethora of pollutants can result in IAP; therefore, it is very important to identify their main sources and concentrations and to devise strategies for the control and enhancement of indoor air quality (IAQ). Herein, we provide a critical review and evaluation of the major sources of major pollutant emissions, their health effects, and issues related to IAP-based illnesses, including sick building syndrome (SBS) and building-related illness (BRI). In addition, the strategies and approaches for control and reduction of pollutant concentrations are pointed out, and the recent trends in efforts to resolve and improve IAQ, with their respective advantages and potentials, are summarized. It is predicted that the development of novel materials for sensors, IAQ-monitoring systems, and smart homes is a promising strategy for control and enhancement of IAQ in the future.

Suggested Citation

  • Vinh Van Tran & Duckshin Park & Young-Chul Lee, 2020. "Indoor Air Pollution, Related Human Diseases, and Recent Trends in the Control and Improvement of Indoor Air Quality," IJERPH, MDPI, vol. 17(8), pages 1-27, April.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:8:p:2927-:d:349490
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    References listed on IDEAS

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    16. He, Sha & Tang, Sanyi & Zhang, Qimin & Rong, Libin & Cheke, Robert A., 2023. "Modelling optimal control of air pollution to reduce respiratory diseases," Applied Mathematics and Computation, Elsevier, vol. 458(C).
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