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Health Risk Assessment Associated with Air Pollution Through Technological Interventions: A Futuristic Approach

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Integrating IoT and AI for Indoor Air Quality Assessment

Part of the book series: Internet of Things ((ITTCC))

Abstract

Air pollution is one of the biggest contributors to the global burden of disease and mortality and contributes to over a million deaths worldwide every year. Short- and long-term exposures to air pollutants, when they are present in high concentration, lead to respiratory illnesses, aggravation of cardiovascular diseases, and premature deaths. The accurate assessment of health risk and impact due to ambient and indoor air pollution is imperative for policymaking, prevention, and rectification efforts. Technological intervention and advancement in data science and modelling predictions could be of use for accurate health risk assessment and exposure to the pollution which includes exposure to small and large populations. Internet of Things includes sensors, smartphones, and air pollution models based on big data sources which are not only used to assess the exposure, but also aid in devising prevention opportunities. Key features of these tools include accessibility, spatial resolution, specific health outcomes associated with pollutants, population exposure, and application. This chapter is a state-of-the-art review that elaborates the attempts and technological interventions and advancements made to address the health risk assessment associated with air pollution and strategies adopted for personalized treatment to avert exacerbation and refractory symptoms. Technological advancement and its involvement may revolutionize the air pollution prediction, exposure, and risk assessment research in the coming time, if they meet the logistical and data science challenges along with the integration of health impact and related risks’ assessment which is linked to the exposure of air pollution.

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Authors and Affiliations

  1. Department of Chemistry, Integral University, Lucknow, India

    Tahmeena Khan

  2. Department of Chemistry, Isabella Thoburn College, Lucknow, India

    Alfred J. Lawrence

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  1. Tahmeena Khan
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  2. Alfred J. Lawrence
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Editors and Affiliations

  1. Department of Electronics and Communication Engineering, National Institute of Technical Teacher’s Training and Research, Chandigarh, India

    Jagriti Saini

  2. Department of Information Management and Emerging Engineering, National Institute of Technical Teacher’s Training and Research, Chandigarh, India

    Maitreyee Dutta

  3. Polytechnic of Coimbra, Rua General Santos Costa, Oliveira do Hospital, Portugal

    Gonçalo Marques

  4. Department of Electrical and Electronic Engineering, The University of Melbourne, Melbourne, VIC, Australia

    Malka N. Halgamuge

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Khan, T., Lawrence, A.J. (2022). Health Risk Assessment Associated with Air Pollution Through Technological Interventions: A Futuristic Approach. In: Saini, J., Dutta, M., Marques, G., Halgamuge, M.N. (eds) Integrating IoT and AI for Indoor Air Quality Assessment. Internet of Things. Springer, Cham. https://doi.org/10.1007/978-3-030-96486-3_10

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  • DOI: https://doi.org/10.1007/978-3-030-96486-3_10

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