IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i12p7480-d842519.html
   My bibliography  Save this article

The Adoption of Digital Technologies and Artificial Intelligence in Urban Health: A Scoping Review

Author

Listed:
  • Martina Sapienza

    (Dipartimento di Scienze della Vita e Sanità Pubblica, Università Cattolica del Sacro Cuore, 00168 Roma, Italy
    These authors contributed equally to this work.)

  • Mario Cesare Nurchis

    (Dipartimento di Scienze della Vita e Sanità Pubblica, Università Cattolica del Sacro Cuore, 00168 Roma, Italy
    Department of Woman and Child Health and Public Health, Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168 Roma, Italy
    These authors contributed equally to this work.)

  • Maria Teresa Riccardi

    (Dipartimento di Scienze della Vita e Sanità Pubblica, Università Cattolica del Sacro Cuore, 00168 Roma, Italy)

  • Catherine Bouland

    (Research Centre on Environmental and Occupational Health, School of Public Health, Université Libre de Bruxelles, 1050 Bruxelles, Belgium)

  • Marija Jevtić

    (Research Centre on Environmental and Occupational Health, School of Public Health, Université Libre de Bruxelles, 1050 Bruxelles, Belgium
    Faculty of Medicine, University of Novi Sad, 21000 Novi Sad, Serbia
    Institute of Public Health of Vojvodina, 21000 Novi Sad, Serbia)

  • Gianfranco Damiani

    (Dipartimento di Scienze della Vita e Sanità Pubblica, Università Cattolica del Sacro Cuore, 00168 Roma, Italy
    Department of Woman and Child Health and Public Health, Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168 Roma, Italy)

Abstract

As more people live in cities, the impact of urban settings on population health has been increasing. One of the main strategies to cope with urbanization is adopting artificial intelligence (AI) and new digital technologies to develop new urban services that improve citizens’ health and well-being. The aim of this study is to review urban interventions and adopting digital technologies and AI-based algorithms to improve population health. A scoping review of the literature was conducted by querying MEDLINE, Web of Science, and Scopus databases. The included studies were categorized into one urban health area, suggested by the WHO, according to the type of intervention investigated. Out of 3733 records screened, 12 papers met all inclusion criteria. Four studies investigated the “outdoor and indoor pollution” area, one “climate change”, one “housing”, two “health and social services” and four “urban transport” areas. Only one article used a comprehensive approach to public health, investigating the use of AI and digital technologies both to characterize exposure conditions to health determinants and to monitor population health effects, while the others were limited to characterizing exposure conditions to health determinants, thus employing a preliminary public health perspective. From this point of view, countries should foster synergy for the development of research on digital technologies to address the determinants of health in the urban context. From a global health perspective, sharing results with the scientific community would also allow other countries to use those technologies that have been shown to be effective, paving the way for more sustainable living conditions worldwide.

Suggested Citation

  • Martina Sapienza & Mario Cesare Nurchis & Maria Teresa Riccardi & Catherine Bouland & Marija Jevtić & Gianfranco Damiani, 2022. "The Adoption of Digital Technologies and Artificial Intelligence in Urban Health: A Scoping Review," Sustainability, MDPI, vol. 14(12), pages 1-9, June.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:12:p:7480-:d:842519
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/12/7480/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/14/12/7480/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Tayyaba Zaheer & Asad Waqar Malik & Anis Ur Rahman & Ayesha Zahir & Muhammad Moazam Fraz, 2019. "A vehicular network–based intelligent transport system for smart cities," International Journal of Distributed Sensor Networks, , vol. 15(11), pages 15501477198, November.
    2. Jennifer Gabrys, 2020. "Planetary health in practice: sensing air pollution and transforming urban environments," Palgrave Communications, Palgrave Macmillan, vol. 7(1), pages 1-11, December.
    3. Matthew E. Kahn & Nancy Lozano‐Gracia & Maria Edisa Soppelsa, 2021. "Pollution'S Role In Reducing Urban Quality Of Life In The Developing World," Journal of Economic Surveys, Wiley Blackwell, vol. 35(1), pages 330-347, February.
    Full references (including those not matched with items on IDEAS)

    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. Ali Hosseini & Brandon Marc Finn & Seyed Aliakbar Sajjadi & Tahereh Mosavei, 2023. "Urban Disparities and Quality of Life Among Afghan Refugees Living in Informal Settlements in Mashhad, Iran," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 18(2), pages 1073-1097, April.
    2. Helga E. Lister & Karien Mostert & Tanita Botha & Simoné van der Linde & Elaine van Wyk & Su-Ané Rocher & Richelle Laing & Lucy Wu & Selma Müller & Alexander des Tombe & Tebogo Kganyago & Nonhlanhla Z, 2022. "South African Healthcare Professionals’ Knowledge, Attitudes, and Practices Regarding Environmental Sustainability in Healthcare: A Mixed-Methods Study," IJERPH, MDPI, vol. 19(16), pages 1-14, August.
    3. Zhenhua Zhang & Guoxing Zhang & Yi Hu & Yating Jiang & Cheng Zhou & Jiahui Ma, 2023. "The evolutionary mechanism of haze collaborative governance: novel evidence from a tripartite evolutionary game model and a case study in China," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-14, December.

    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:jsusta:v:14:y:2022:i:12:p:7480-:d:842519. 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.