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How Sensors Might Help Define the External Exposome

Author

Listed:
  • Miranda Loh

    (Institute of Occupational Medicine, Research Avenue North, Edinburgh EH14 4AP, UK)

  • Dimosthenis Sarigiannis

    (Environmental Engineering Laboratory, Department of Chemical Engineering, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece)

  • Alberto Gotti

    (Environmental Engineering Laboratory, Department of Chemical Engineering, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece)

  • Spyros Karakitsios

    (Environmental Engineering Laboratory, Department of Chemical Engineering, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece)

  • Anjoeka Pronk

    (TNO, Nederlandse Organisatie voor Toegepast Natuurwetenschappelijk, Postbus 360, 3700 AJ Zeist, The Netherlands)

  • Eelco Kuijpers

    (TNO, Nederlandse Organisatie voor Toegepast Natuurwetenschappelijk, Postbus 360, 3700 AJ Zeist, The Netherlands)

  • Isabella Annesi-Maesano

    (Epidemiology of Allergic and Respiratory Diseases Department (EPAR), Sorbonne Universités, UPMC Univ Paris 06, INSERM, Institut Pierre Louis d’Epidémiologie et de Santé Publique (IPLESP UMRS 1136), Medical School Saint-Antoine, F75012 Paris, France
    INEGI, Institute of Science and Innovation in Mechanical Engineering and Industrial Management, University of Porto, Rua Dr. Roberto Frias, 4200-465 Porto, Portugal)

  • Nour Baiz

    (Epidemiology of Allergic and Respiratory Diseases Department (EPAR), Sorbonne Universités, UPMC Univ Paris 06, INSERM, Institut Pierre Louis d’Epidémiologie et de Santé Publique (IPLESP UMRS 1136), Medical School Saint-Antoine, F75012 Paris, France)

  • Joana Madureira

    (INEGI, Institute of Science and Innovation in Mechanical Engineering and Industrial Management, University of Porto, Rua Dr. Roberto Frias, 4200-465 Porto, Portugal)

  • Eduardo Oliveira Fernandes

    (INEGI, Institute of Science and Innovation in Mechanical Engineering and Industrial Management, University of Porto, Rua Dr. Roberto Frias, 4200-465 Porto, Portugal)

  • Michael Jerrett

    (UCLA Fielding School of Public Health, 650 Charles E. Young Drive South, 56-070B CHS, Los Angeles, CA 90095, USA)

  • John W. Cherrie

    (Institute of Occupational Medicine, Research Avenue North, Edinburgh EH14 4AP, UK
    Institute of Biological Chemistry, Biophysics and Bioengineering, Heriot Watt University, Riccarton, Edinburgh EH14 4AS, UK)

Abstract

The advent of the exposome concept, the advancement of mobile technology, sensors, and the “internet of things” bring exciting opportunities to exposure science. Smartphone apps, wireless devices, the downsizing of monitoring technologies, along with lower costs for such equipment makes it possible for various aspects of exposure to be measured more easily and frequently. We discuss possibilities and lay out several criteria for using smart technologies for external exposome studies. Smart technologies are evolving quickly, and while they provide great promise for advancing exposure science, many are still in developmental stages and their use in epidemiology and risk studies must be carefully considered. The most useable technologies for exposure studies at this time relate to gathering exposure-factor data, such as location and activities. Development of some environmental sensors (e.g., for some air pollutants, noise, UV) is moving towards making the use of these more reliable and accessible to research studies. The possibility of accessing such an unprecedented amount of personal data also comes with various limitations and challenges, which are discussed. The advantage of improving the collection of long term exposure factor data is that this can be combined with more “traditional” measurement data to model exposures to numerous environmental factors.

Suggested Citation

  • Miranda Loh & Dimosthenis Sarigiannis & Alberto Gotti & Spyros Karakitsios & Anjoeka Pronk & Eelco Kuijpers & Isabella Annesi-Maesano & Nour Baiz & Joana Madureira & Eduardo Oliveira Fernandes & Micha, 2017. "How Sensors Might Help Define the External Exposome," IJERPH, MDPI, vol. 14(4), pages 1-14, April.
    • Handle: RePEc:gam:jijerp:v:14:y:2017:i:4:p:434-:d:96130
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    References listed on IDEAS

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    1. Tanya Yatsunenko & Federico E. Rey & Mark J. Manary & Indi Trehan & Maria Gloria Dominguez-Bello & Monica Contreras & Magda Magris & Glida Hidalgo & Robert N. Baldassano & Andrey P. Anokhin & Andrew C, 2012. "Human gut microbiome viewed across age and geography," Nature, Nature, vol. 486(7402), pages 222-227, June.
    2. Geoffrey M. Jacquez & Clive E. Sabel & Chen Shi, 2015. "Genetic GIScience: Toward a Place-Based Synthesis of the Genome, Exposome, and Behavome," Annals of the American Association of Geographers, Taylor & Francis Journals, vol. 105(3), pages 454-472, May.
    3. Mark J. Nieuwenhuijsen & David Donaire-Gonzalez & Maria Foraster & David Martinez & Andres Cisneros, 2014. "Using Personal Sensors to Assess the Exposome and Acute Health Effects," IJERPH, MDPI, vol. 11(8), pages 1-15, August.
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    Cited by:

    1. McCarron, Amy & Semple, Sean & Braban, Christine F. & Gillespie, Colin & Swanson, Vivien & Price, Heather D., 2023. "Personal exposure to fine particulate matter (PM2.5) and self-reported asthma-related health," Social Science & Medicine, Elsevier, vol. 337(C).
    2. Juan Pablo López-Cervantes & Marianne Lønnebotn & Nils Oskar Jogi & Lucia Calciano & Ingrid Nordeide Kuiper & Matthew G. Darby & Shyamali C. Dharmage & Francisco Gómez-Real & Barbara Hammer & Randi Ja, 2021. "The Exposome Approach in Allergies and Lung Diseases: Is It Time to Define a Preconception Exposome?," IJERPH, MDPI, vol. 18(23), pages 1-20, December.
    3. Keith April G. Arano & Shengjing Sun & Joaquin Ordieres-Mere & and Bing Gong, 2019. "The Use of the Internet of Things for Estimating Personal Pollution Exposure," IJERPH, MDPI, vol. 16(17), pages 1-25, August.

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