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Designing a Cloud Based Platform for Monitoring Well-Being and Public Health in Areas with Natural Based Solutions

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Future Access Enablers for Ubiquitous and Intelligent Infrastructures (FABULOUS 2022)

Abstract

Nature-Based Solutions (NBS) are innovative, eco-friendly actions aiming to protect, manage and restore natural or modified ecosystems. Urban areas with NBS provide a healthier environment, which can have positive outcomes for health of the citizens, while positively affects their well-being and Public Health. The aim of this paper is to present the specifications and the design of an artificial intelligence (AI) enabled platform for monitoring the citizens’ well-being and public health in areas with NBS. The euPOLIS platform's architecture is designed to measure physical activity and collect health related, as well as, environmental data, from multiple data sources to examine the impact of the NBS in the citizens well-being and Public Health. Data analysis and visualization will be conducted using appropriate services and visualization toolboxes. Future work includes the platform development and evaluation coupled with the analysis of the collected data, using specific criteria to assess the improvement of citizens’ well-being.

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References

  1. Cohen-Shacham, E., Walters, G., Janzen, C., Maginnis, S.: Nature-Based Solutions to Address Global Societal Challenges, vol. 97. IUCN, Gland (2016)

    Google Scholar 

  2. Eggermont, H., et al.: Nature-based solutions: new influence for environmental management and research in Europe. GAIA-Ecol. Perspect. Sci. Soc. 24(4), 243–248 (2015)

    Google Scholar 

  3. Faivre, N., Fritz, M., Freitas, T., de Boissezon, B., Vandewoestijne, S.: Nature-based solutions in the EU: innovating with nature to address social, economic and environmental challenges. Environ. Res. 159, 509–518 (2017)

    Article  Google Scholar 

  4. Maes, J., Jacobs, S.: Nature-based solutions for Europe’s sustainable development. Conserv. Lett. 10(1), 121–124 (2015)

    Article  Google Scholar 

  5. Kabisch, N., Korn, H., Stadler, J., Bonn, A.: Nature-Based Solutions to Climate Change Adaptation in Urban Areas: Linkages Between Science, Policy and Practice. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-56091-5

  6. Kabisch, N., et al.: Nature-based solutions to climate change mitigation and adaptation in urban areas: perspectives on indicators, knowledge gaps, barriers, and opportunities for action. Ecol. Soc. 21(2), 39 (2016)

    Google Scholar 

  7. Seddon, N., Chausson, A., Berry, P., Girardin, C.A., Smith, A., Turner, B.: Understanding the value and limits of nature-based solutions to climate change and other global challenges. Philos. Trans. R. Soc. B 375(1794), 20190120 (2020)

    Article  Google Scholar 

  8. Van den Bosch, M., Sang, Å.O.: Urban natural environments as nature-based solutions for improved public health–a systematic review of reviews. Environ. Res. 158, 373–384 (2017)

    Article  Google Scholar 

  9. Grady, A., Yoong, S., Sutherland, R., Lee, H., Nathan, N., Wolfenden, L.: Improving the public health impact of eHealth and mHealth interventions. Aust. N. Z. J. Public Health 42(2), 118–119 (2018)

    Article  Google Scholar 

  10. Freudenberg, N.: Assessing the public health impact of the mHealth app business. Am. J. Public Health 107(11), 1694–1696 (2017). https://doi.org/10.2105/AJPH.2017.304083.PMID:29019765;PMCID:PMC5637691

    Article  Google Scholar 

  11. Saner, H., van der Velde, E.: eHealth in cardiovascular medicine: a clinical update. Eur. J. Prev. Cardiol. 23(2_suppl), 5–12 (2016)

    Google Scholar 

  12. Khorakhun, C., Bhatti, S.N.: Wellbeing as a proxy for a mHealth study. In: 2014 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), pp. 32–39. IEEE, November 2014

    Google Scholar 

  13. Kampmeijer, R., Pavlova, M., Tambor, M., Golinowska, S., Groot, W.: The use of e-health and m-health tools in health promotion and primary prevention among older adults: a systematic literature review. BMC Health Serv. Res. 16(5), 467–479 (2016)

    Google Scholar 

  14. Nedungadi, P., Jayakumar, A., Raman, R.: Personalized health monitoring system for managing well-being in rural areas. J. Med. Syst. 42(1), 1–11 (2018)

    Article  Google Scholar 

  15. Ben-Arieh, A., Kaufman, N.H., Andrews, A.B., George, R.M., Lee, B.J., Aber, L.J.: Measuring and Monitoring Children’s Well-Being, vol. 7. Springer, Dordrecht (2013). https://doi.org/10.1007/978-94-017-2229-2

  16. Hensel, J.M., Ellard, K., Koltek, M., Wilson, G., Sareen, J.: Digital health solutions for indigenous mental well-being. Curr. Psychiatry Rep. 21(8), 1–9 (2019)

    Article  Google Scholar 

  17. Patel, S., Saunders, K.E.: Apps and wearables in the monitoring of mental health disorders. Br. J. Hosp. Med. 79(12), 672–675 (2018)

    Article  Google Scholar 

  18. Majumder, S., Mondal, T., Deen, M.J.: Wearable sensors for remote health monitoring. Sensors 17(1), 130 (2017)

    Article  Google Scholar 

  19. Block, V.A., Pitsch, E., Tahir, P., Cree, B.A., Allen, D.D., Gelfand, J.M.: Remote physical activity monitoring in neurological disease: a systematic review. PLoS ONE 11(4), e0154335 (2016)

    Article  Google Scholar 

  20. Kallipolitis, A., Galliakis, M., Menychtas, A., Maglogiannis, I.: Affective analysis of patients in homecare video-assisted telemedicine using computational intelligence. Neural Comput. Appl. 32(23), 17125–17136 (2020). https://doi.org/10.1007/s00521-020-05203-z

    Article  Google Scholar 

  21. Panagopoulos, C., et al.: Utilizing a homecare platform for remote monitoring of patients with idiopathic pulmonary fibrosis. In: Vlamos, P. (ed.) GeNeDis 2016. AEMB, vol. 989, pp. 177–187. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-57348-9_15

    Chapter  Google Scholar 

  22. Menychtas, A., Doukas, C., Tsanakas, P., Maglogiannis, I.: A versatile architecture for building IoT quantified-self applications. In: 2017 IEEE 30th International Symposium on Computer-Based Medical Systems (CBMS), pp. 500–505. IEEE, June 2017

    Google Scholar 

  23. Panagopoulos, C., Menychtas, A., Tsanakas, P., Maglogiannis, I.: Increasing usability of homecare applications for older adults: a case study. Designs 3(2), 23 (2019)

    Article  Google Scholar 

  24. McGarrigle, L., Todd, C.: Promotion of physical activity in older people using mHealth and eHealth technologies: rapid review of reviews. J. Med. Internet Res. 22(12), e22201 (2020)

    Article  Google Scholar 

  25. Dobkin, B.H., Dorsch, A.: The promise of mHealth: daily activity monitoring and outcome assessments by wearable sensors. Neurorehabil. Neural Repair 25(9), 788–798 (2011)

    Article  Google Scholar 

  26. Zafeiropoulos, C.: An introduction to the euPOLIS project. In: Novelties in Intelligent Digital Systems, pp. 197–206. IOS Press (2021)

    Google Scholar 

  27. Bozovic, R., Maksimovic, C., Mijic, A., Smith, K.M., Suter, I., Van Reeuwijk, M.: Blue green solutions. A Systems Approach to Sustainable and Cost-Effective Urban Development (2017)

    Google Scholar 

  28. Jawhar, I., Mohamed, N., Al-Jaroodi, J.: Networking architectures and protocols for smart city systems. J. Internet Serv. Appl. 9(1), 1–16 (2018). https://doi.org/10.1186/s13174-018-0097-0

    Article  Google Scholar 

  29. Hussels, U., Camarinopoulos, S., Lüdtke, T., Pampoukis, G.: Database application for changing data models in environmental engineering. EnviroInfo, 569–575 (2013)

    Google Scholar 

  30. Gallos, P., Menychtas, A., Panagopoulos, C., Bimpas, M., Maglogiannis, I.: Quantifying citizens’ well-being in areas with natural based solutions using mobile computing. Stud. Health Technol. Inf. 289, 465–468 (2021)

    Google Scholar 

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Acknowledgements

This work is a part of the euPOLIS project. euPOLIS has received funding from the European Union's Horizon 2020 research and innovation program under grant agreement number: 869448 - Integrated NBS-based Urban Planning Methodology for Enhancing the Health and Well-being of Citizens: the euPOLIS Approach. The authors would like to thank all partners within euPOLIS project for their cooperation and valuable contribution.

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Correspondence to Parisis Gallos .

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Gallos, P. et al. (2022). Designing a Cloud Based Platform for Monitoring Well-Being and Public Health in Areas with Natural Based Solutions. In: Perakovic, D., Knapcikova, L. (eds) Future Access Enablers for Ubiquitous and Intelligent Infrastructures. FABULOUS 2022. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 445. Springer, Cham. https://doi.org/10.1007/978-3-031-15101-9_7

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  • DOI: https://doi.org/10.1007/978-3-031-15101-9_7

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