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access icon openaccess COVID-19 pandemic: a review of smart cities initiatives to face new outbreaks

While the world still struggles against the devastating effects of the COVID-19 pandemic, governments and organisations are discussing how new technologies can be exploited to relieve its impacts and how future pandemics can be avoided or minimised. Among the envisioned solutions, the development of more efficient and widespread smart city initiatives can improve the way critical data is retrieved, processed, stored, and disseminated, potentially improving the detection and mitigation of outbreaks while reducing the execution time when taking critical actions. In fact, some first responses to this pandemic are exploiting different technological solutions that could be ultimately adopted in more integrated city-scale systems, opening many possibilities. Therefore, this study discusses potential solutions and review recent approaches that can be exploited in this complex scenario, describing feasible and promising development trends for the construction of the new expected health-centric smart cities.

References

    1. 1)
      • 80. SmartCitiesWorld: ‘How 5g-powered robots are helping China fight coronavirus’, 2020. Available at https://www.smartcitiesworld.net/news/how-5g-poweredrobots-are-helping-china-fight-coronavirus-5154.
    2. 2)
      • 9. Ali, S.H., Keil, R.: ‘Global cities and the spread of infectious disease: the case of severe acute respiratory syndrome (SARS) in Toronto, Canada’, Urban Studies, 2006, 43, (3), pp. 491509.
    3. 3)
      • 68. Singapore, S.N.: ‘Launch of new app for contact tracing’, 2020. Available at https://www.london.gov.uk/what-we-do/business-and-economy/supportinglondons-sectors/smart-london/mission-5-improve-city-wide-collaboration.
    4. 4)
      • 47. O'Connor, C., Murphy, M.: ‘Going viral: doctors must tackle fake news in the COVID-19 pandemic’, Br. Med. J., 2020, 369, p. 1.
    5. 5)
      • 54. Cook, D.J., Duncan, G., Sprint, G., et al: ‘Using smart city technology to make healthcare smarter’, Proc. IEEE, 2018, 106, (4), pp. 708722.
    6. 6)
      • 36. Majumder, S., Mondal, T., Deen, M.J.: ‘Wearable sensors for remote health monitoring’, Sensors, 2017, 17, (1), pp. 145.
    7. 7)
      • 32. Spielhofer, T., Greenlaw, R., Markham, D., et al: ‘Data mining twitter during the UK floods: investigating the potential use of social media in emergency management’. 2016 3rd Int. Conf. on Information and Communication Technologies for Disaster Management (ICT-DM), Vienna, Austria, 2016, pp. 16.
    8. 8)
      • 94. COVID.19, B.: ‘Voluntary registering of covid-19 cases in Brazil’, 2020. Available at https://brasil.io/covid19/.
    9. 9)
      • 79. Region, H.S: ‘Health & wellness smart cases’, 2020. Available at https://helsinkismart.fi/human-health-tech/.
    10. 10)
      • 34. Laylavi, F., Rajabifard, A., Kalantari, M.: ‘Event relatedness assessment of twitter messages for emergency response’, Inf. Process. Manage., 2017, 53, (1), pp. 266280.
    11. 11)
      • 12. Rabi, F.A., Al Zoubi, M.S., Kasasbeh, G.A., et al: ‘SARS-Cov-2 and coronavirus disease 2019: what we know so far’, Pathogens, 2020, 9, (3), pp. 114.
    12. 12)
      • 78. Senate department for urban development and the environment – smart city strategy Berlin’, 2015. Available at https://www.berlin-partner.de/.
    13. 13)
      • 10. Garon, J.E., Ying, S.C., Monahan, S., et al: ‘The novel H1N1 outbreak: lessons learned’, Lab. Med., 2010, 41, (1), pp. 1115.
    14. 14)
      • 63. Fan, M., Sun, J., Zhou, B., et al: ‘The smart health initiative in China: the case of Wuhan, Hubei province’, J. Med. Syst., 2016, 40, pp. 117.
    15. 15)
      • 84. Petropoulos, G:. ‘Artificial intelligence in the fight against covid-19’, 2020. Available at http://www.bruegel.org/2020/03/artificial-intelligence-inthe-fight-against-covid-19/.
    16. 16)
      • 28. Čolaković, A., Hadžialić, M.: ‘Internet of things (IoT): a review of enabling technologies, challenges, and open research issues’, Comput. Netw., 2018, 144, pp. 1739.
    17. 17)
      • 83. La, V.P., Pham, T.H., Ho, M.T., et al: ‘Policy response, social media and science journalism for the sustainability of the public health system amid the covid-19 outbreak: the Vietnam lessons’, Sustainability, 2020, 12, (7), pp. 127.
    18. 18)
      • 17. Xu, B., Li, L., Hu, D., et al: ‘Healthcare data analysis system for regional medical union in smart city’, J. Manage. Anal., 2018, 5, (4), pp. 334349.
    19. 19)
      • 56. Nazir, S., Ali, Y., Ullah, N., et al: ‘Internet of things for healthcare using effects of mobile computing: a systematic literature review’, Wirel. Commun. Mob. Comput., 2019, 2019, pp. 120.
    20. 20)
      • 89. IT, G.: ‘Prefeitura lança o busca saúde’, 2020. Available at http://govit.prefeitura.sp.gov.br/noticias/prefeitura-lanca-o-busca-saude.
    21. 21)
      • 33. Costa, D.G., Duran Faundez, C., Andrade, D.C., et al: ‘Twittersensing: an event-based approach for wireless sensor networks optimization exploiting social media in smart city applications’, Sensors, 2018, 18, (4), pp. 130.
    22. 22)
      • 60. Fakhfakh, F., Tounsi, M., Mosbah, M.: ‘A comprehensive survey on broadcasting emergency messages’. 2019 15th Int. Wireless Communications & Mobile Computing Conf. (IWCMC). (IEEE), Tangier, Morocco, 2019, pp. 19831988.
    23. 23)
      • 65. Sivaramakrishnan, S.: ‘3 reasons why Singapore is the smartest city in the world’, 2019. Available at https://www.weforum.org/agenda/2019/11/singaporesmart-city/.
    24. 24)
      • 91. de São Paulo, G.: ‘SIMI – sistema de monitoramento inteligente’, 2020. Available at http://saopaulo.sp.gov.br/coronavirus/planosp/simi/.
    25. 25)
      • 53. Moghadas, S.M., Shoukat, A., Fitzpatrick, M.C., et al: ‘Projecting hospital utilization during the COVID-19 outbreaks in the United States’, Proc. Natl. Acad. Sci., 2020, 117, (16), pp. 91229126.
    26. 26)
      • 44. Rees, E., Ng, V., Gachon, P., et al: ‘Risk assessment strategies for early detection and prediction of infectious disease outbreaks associated with climate change’, Can. Commun. Dis. Rep., 2019, 45, (5), pp. 119126.
    27. 27)
      • 67. Programme, U.N.D. ‘Singapore's covid-19 response is seeing early results. Here's how’, 2020. Available at https://www.asiapacific.undp.org/content/rbap/en/home/blog/2020/singapores-covid-19-response-is-seeing-early-results-heres-how.html.
    28. 28)
      • 30. Sun, G., Nakayama, Y., Dagdanpurev, S., et al: ‘Remote sensing of multiple vital signs using a CMOS camera-equipped infrared thermography system and its clinical application in rapidly screening patients with suspected infectious diseases’, Int. J. Infect. Dis., 2017, 55, pp. 113117.
    29. 29)
      • 88. IT, G.: ‘Nova plataforma disponibiliza informações sobre exames a pacientes’, 2020. Available at http://govit.prefeitura.sp.gov.br/noticias/nova-plataformadisponibiliza-informacoes-sobre-exames-a-pacientes.
    30. 30)
      • 14. Soyata, T., Habibzadeh, H., Ekenna, C., et al: ‘Smart city in crisis: technology and policy concerns’, Sustain. Cities Soc., 2019, 50, p. 101566.
    31. 31)
      • 62. Cowley, R., Caprotti, F., Ferretti, M., et al: ‘Ordinary Chinese smart cities: the case of Wuhan’, in Karvonen, A., Cugurullo, F., Caprotti, F.: ‘Inside smart cities’ (Routledge, 2018), pp. 4564.
    32. 32)
      • 31. Costa, D.G., Collotta, M., Pau, G., et al: ‘A fuzzy-based approach for sensing, coding and transmission configuration of visual sensors in smart city applications’, Sensors, 2017, 17, (1), pp. 119.
    33. 33)
      • 70. Marketplace.: ‘London guide battles lockdown blues with virtual tours’, 2020. Available at https://www.marketplace.org/2020/03/24/london-virtualtour-covid-19-lockdown/.
    34. 34)
      • 2. Allam, Z., Jones, D.S.: ‘On the coronavirus (COVID-19) outbreak and the smart city network: universal data sharing standards coupled with artificial intelligence (AI) to benefit urban health monitoring and management’, Healthcare, 2020, 8, (1), p. 46.
    35. 35)
      • 6. Chamoso, P., González Briones, A., Prieta, F.D.L., et al: ‘Smart city as a distributed platform: toward a system for citizen-oriented management’, Comput. Commun., 2020, 152, pp. 323332.
    36. 36)
      • 19. Samuel, C., Siebeneck, L.K.: ‘Roles revealed: an examination of the adopted roles of emergency managers in hazard mitigation planning and strategy implementation’, Int. J. Disaster Risk Reduct., 2019, 39, p. 101145.
    37. 37)
      • 73. SmartCitiesWorld.: ‘South Korea to step-up online coronavirus tracking’, 2020. Available at https://www.smartcitiesworld.net/news/news/south-korea-to-stepup-online-coronavirus-tracking-5109.
    38. 38)
      • 27. Costa, D.G.: ‘Visual sensors hardware platforms: a review’, IEEE Sens. J., 2020, 20, (8), pp. 40254033.
    39. 39)
      • 21. Kucharski, A.J., Russell, T.W., Diamond, C., et al: ‘Early dynamics of transmission and control of COVID-19: a mathematical modelling study’, Lancet Infect. Dis., 2020, 20, (5), pp. 553558.
    40. 40)
      • 41. Bermudez Edo, M., Barnaghi, P.: ‘Spatio-temporal analysis for smart city data’. Companion Proc. Web Conf., Lyon, France, 2018, pp. 18411845.
    41. 41)
      • 26. Costa, D.G., Duran Faundez, C.: ‘Open-source electronics platforms as enabling technologies for smart cities: recent developments and perspectives’, Electronics, 2018, 7, (12), pp. 119.
    42. 42)
      • 57. He, L., Liang, Q., Fang, S.: ‘Challenges and innovative solutions in urban rail transit network operations and management: China's Guangzhou metro experience’, Urban Rail Transit, 2016, 2, (1), pp. 3345.
    43. 43)
      • 95. SECTI.: ‘Portal geocovid-19 amplia atuação e apresenta dados nacionais’, 2020. Available at http://www.secti.ba.gov.br/2020/04/1878/Portal-Geocovid-19-amplia-atuacao-e-apresenta-dados-nacionais.html.
    44. 44)
      • 43. Archenaa, J., Anita, E.A.M.: ‘A survey of big data analytics in healthcare and government’, Procedia Comput. Sci., 2015, 50, pp. 408413, big Data, Cloud and Computing Challenges.
    45. 45)
      • 52. Kang, S., Baek, H., Jung, E., et al: ‘Survey on the demand for adoption of internet of things (IoT)-based services in hospitals: investigation of nurses’ perception in a tertiary university hospital’, Appl. Nurs. Res., 2019, 47, pp. 1823.
    46. 46)
      • 11. Short, K.R., Richard, M., Verhagen, J.H., et al: ‘One health, multiple challenges: the inter-species transmission of influenza a virus’, One Health, 2015, 1, pp. 113.
    47. 47)
      • 15. Costa, D.G., Vasques, F., Portugal, P., et al: ‘A distributed multi-tier emergency alerting system exploiting sensors-based event detection to support smart city applications’, Sensors, 2019, 20, (1), pp. 128.
    48. 48)
      • 25. Garg, S., Hilton, J., Aryal, J., et al: ‘Cloud computing in natural hazard modeling systems: current research trends and future directions’, Int. J. Disaster Risk Reduct., 2019, 38, p. 101188.
    49. 49)
      • 22. Lu, H.P., Chen, C.S., Yu, H.: ‘Technology roadmap for building a smart city: an exploring study on methodology’, Future Gener. Comput. Syst., 2019, 97, pp. 727742.
    50. 50)
      • 29. Santos, P.M., Rodrigues, J.G., Cruz, S.B., et al: ‘Portolivinglab: an IoT-based sensing platform for smart cities’, IEEE Internet Things J., 2018, 5, (2), pp. 523532.
    51. 51)
      • 3. Trencher, G., Karvonen, A.: ‘Stretching ‘smart’: advancing health and well-being through the smart city agenda’, Local. Environ., 2019, 24, (7), pp. 610627.
    52. 52)
      • 82. Network, S.N.H:. ‘Digital health - secure messaging’, 2020. Available at https://sydneynorthhealthnetwork.org.au/programs/digital-health/securemessaging/.
    53. 53)
      • 85. Bhatia, S., Cori, A., Parag, K.V., et al: ‘Short-term forecasts of covid-19 deaths in multiple countries’, Online Rep., 2020, pp. 415.
    54. 54)
      • 96. UFRN, D.: ‘Onas-covid19’, 2020. Available at https://demografiaufrn.net/onas-covid19/.
    55. 55)
      • 40. Lim, C., Kim, K.J., Maglio, P.P.: ‘Smart cities with big data: reference models, challenges, and considerations’, Cities, 2018, 82, pp. 8699.
    56. 56)
      • 7. Costa, D.G., de Oliveira, F.P.: ‘A prioritization approach for optimization of multiple concurrent sensing applications in smart cities’, Future Gener. Comput. Syst., 2020, 108, pp. 228243.
    57. 57)
      • 38. Koutra, S., Becue, V., Ioakimidis, C.S.: ‘A multiscalar approach for ‘smart city’ planning’. 2018 IEEE Int. Smart Cities Conf. (ISC2), Kansas City, Missouri, USA, 2018, pp. 17.
    58. 58)
      • 5. Budd, L., Bell, M., Brown, T.: ‘Of plagues, planes and politics: controlling the global spread of infectious diseases by air’, Polit. Geogr., 2009, 28, (7), pp. 426435.
    59. 59)
      • 20. Pirouz, B., Shaffiee Haghshenas, S., Shaffiee Haghshenas, S., et al: ‘Investigating a serious challenge in the sustainable development process: analysis of confirmed cases of COVID-19 (new type of coronavirus) through a binary classification using artificial intelligence and regression analysis’, Sustainability, 2020, 12, (6), pp. 121.
    60. 60)
      • 48. Wong, Z.S., Zhou, J., Zhang, Q.: ‘Artificial intelligence for infectious disease big data analytics’, Infect. Dis. Health, 2019, 24, (1), pp. 4448.
    61. 61)
      • 69. London D: ‘Digitalhelath.London’, 2020. Available at https://digitalhealth.london.
    62. 62)
      • 24. Heumann, M., Kavin, R., Chugh, A.: ‘In the eyes of the law: the effects of bodyworn cameras on police behavior, citizen interactions, and privacy’, Crim. Law Bull., 2018, 54, (3), pp. 584627.
    63. 63)
      • 75. NYeC.: ‘About NYeC’, 2020. Available athttps://www.nyehealth.org/about/.
    64. 64)
      • 87. Zanini, F.O.: ‘Cidades inteligentes largam na frente no combate ao coronavírus’, 2020. Available at https://politica.estadao.com.br/blogs/faustomacedo/cidades-inteligentes-largam-na-frente-no-combate-ao-coronavirus/.
    65. 65)
      • 92. Toledo, K.: ‘Ferramenta permite monitorar em tempo real o avanço da covid-19 na cidade de São Paulo’, 2020. Available at http://agencia.fapesp.br/ferramenta-permite-monitorar-em-tempo-real-o-avancoda-covid-19-na-cidade-de-sao-paulo/32987/.
    66. 66)
      • 81. Network S.N.H: ‘Digital health - my health record’, 2020. Available at https://sydneynorthhealthnetwork.org.au/programs/digital-health/myhealth-record/.
    67. 67)
      • 39. Chamoso, P., González Briones, A., Rodríguez, S., et al: ‘Tendencies of technologies and platforms in smart cities: a state-of-the-art review’, Wirel. Commun. Mob. Comput., 2018, 2018, pp. 117.
    68. 68)
      • 64. PaymentsSource.: ‘Morning brief 3.4.20: Alipay's coronavirus ‘health code’ feeds payment data to police’, 2020. Available at https://www.paymentssource.com/news/alipays-coronavirus-health-code-feedspayment-data-to-police.
    69. 69)
      • 55. Oueida, S., Kotb, Y., Aloqaily, M., et al: ‘An edge computing based smart healthcare framework for resource management’, Sensors, 2018, 18, (12), pp. 122.
    70. 70)
      • 76. Freudenheim, M.: ‘Fast access to records helps fight epidemics’, 2020. Available at https://www.nytimes.com/2012/06/19/health/states-using-electronicmedical-records-to-track-epidemics.html?r=1.
    71. 71)
      • 71. Blogs, W.B.. ‘How is Seoul, Korea transforming into a smart city?’, 2020. Available at https://blogs.worldbank.org/sustainablecities/how-seoulkorea-transforming-smart-city.
    72. 72)
      • 4. Silva, B.N., Khan, M., Han, K.: ‘Towards sustainable smart cities: a review of trends, architectures, components, and open challenges in smart cities’, Sustain. Cities Soc., 2018, 38, pp. 697713.
    73. 73)
      • 58. Chen, S., Yang, J., Yang, W., et al: ‘Covid-19 control in China during mass population movements at new year’, Lancet, 2020, 395, (10226), pp. 764766.
    74. 74)
      • 1. Rehman, S.U., Shafique, L., Ihsan, A., et al: ‘Evolutionary trajectory for the emergence of novel coronavirus SARS-Cov-2’, Pathogens, 2020, 9, (3), p. 240.
    75. 75)
      • 8. Dufva, T., Dufva, M.: ‘Grasping the future of the digital society’, Futures, 2019, 107, pp. 1728.
    76. 76)
      • 49. Madad, S., Moskovitz, J., Boyce, M.R., et al: ‘Ready or not, patients will present: improving urban pandemic preparedness’, Disaster Med. Public Health Prep., 2020, pp. 14.
    77. 77)
      • 45. Mohsin, M.F.M., Bakar, A.A., Hamdan, A.R.: ‘Outbreak detection model based on danger theory’, Appl. Soft Comput., 2014, 24, pp. 612622.
    78. 78)
      • 16. Nikolay, B., Salje, H., Sturm Ramirez, K., et al: ‘Evaluating hospital-based surveillance for outbreak detection in Bangladesh: analysis of healthcare utilization data’, PLoS Med., 2017, 14, (1), pp. 118.
    79. 79)
      • 13. Astarita, V., Giofrè, V.P., Guido, G., et al: ‘Mobile computing for disaster emergency management: empirical requirements analysis for a cooperative crowdsourced system for emergency management operation’, Smart Cities, 2020, 3, (1), pp. 3147.
    80. 80)
      • 50. Lai, C.C., Shih, T.P., Ko, W.C., et al: ‘Severe acute respiratory syndrome coronavirus 2 (SARS-Cov-2) and coronavirus disease-2019 (COVID-19): the epidemic and the challenges’, Int. J. Antimicrob. Agents, 2020, 55, (3), p. 105924.
    81. 81)
      • 66. Singapore, S.N.: ‘Launch of new app for contact tracing’, 2020. Available at https://www.smartnation.sg/whats-new/press-releases/launch-of-newapp-for-contact-tracing.
    82. 82)
      • 59. Liu, W., Yue, X.G., Tchounwou, P.B.: ‘Response to the COVID-19 epidemic: the Chinese experience and implications for other countries’, Int. J. Environ. Res. Public Health, 2020, 17, (7), pp. 16.
    83. 83)
      • 74. Blog, I.B.S: ‘IESE cities in motion index 2019’, 2020. Available at https://blog.iese.edu/cities-challenges-and-management/2019/05/10/iese-cities-inmotion-index-2019/.
    84. 84)
      • 35. Leu, F., Ko, C., You, I., et al: ‘A smartphone-based wearable sensors for monitoring real-time physiological data’, Comput. Electr. Eng., 2018, 65, pp. 376392.
    85. 85)
      • 37. Jiang, D.: ‘The construction of smart city information system based on the internet of things and cloud computing’, Comput. Commun., 2020, 150, pp. 158166.
    86. 86)
      • 18. Bernard, E., Titov, V.: ‘Evolution of tsunami warning systems and products’, Philos. Trans. R. Soc. A, Math. Phys. Eng. Sci., 2015, 373, (2053), p. 20140371.
    87. 87)
      • 23. Das, A., Degeling, M., Wang, X., et al: ‘Assisting users in a world full of cameras: a privacy-aware infrastructure for computer vision applications’. 2017 IEEE Conf. on Computer Vision and Pattern Recognition Workshops (CVPRW), Honolulu, HI, USA, 2017, pp. 13871396.
    88. 88)
      • 51. Kamel Boulos, M.N., Al Shorbaji, N.M.: ‘On the internet of things, smart cities and the who healthy cities’, Int. J. Health Geogr., 2014, 13, (1), p. 10.
    89. 89)
      • 72. Intralink.: ‘Digital health South Korea: market intelligence report’, June 2019. Available at https://www.intralinkgroup.com/getmedia/3153c79b-463d-47c7-84e6-56848c98aab7/Intralink-ReportLife – Sciences.
    90. 90)
      • 46. Vafeiadis, M., Bortree, D.S., Buckley, C., et al: ‘Refuting fake news on social media: nonprofits, crisis response strategies and issue involvement’, J. Prod. Brand Manage., 2019, 29, (2), pp. 209222.
    91. 91)
      • 61. Katze, M.G., Korth, M.J., Law, G.L., et al: ‘Chapter 22 - what lies ahead?: scientists look into their crystal balls’. In Katze, M.G., Korth, M.J., Law, G.L., et al: ‘Viral pathogenesis’ (Academic Press, Boston, 2016, 3rd Edn.) pp. 313337.
    92. 92)
      • 86. Ribeiro, L.C., Bernardes, A.T.: ‘Estimate of underreporting of COVID-19 in Brazil by acute respiratory syndrome hospitalization reports’. Nota Técnica Cedeplar, UFMG, Belo Horizonte, MG, 2020, https://ideas.repec.org/p/cdp/tecnot/ tn010.html.
    93. 93)
      • 90. IT, G.: ‘Saúde lança sistema que permite consulta ao estoque das farmácias da rede municipal’, 2020. Available at http://govit.prefeitura.sp.gov.br/noticias/saude-lanca-sistema-que-permiteconsulta-ao-estoque-das-farmacias-da-rede-municipal.
    94. 94)
      • 93. de Jundiaí, P.: ‘Transparência: jundiaí cria plataforma inteligente para dados de covid-19’, 2020. Available at https://jundiai.sp.gov.br/noticias/2020/05/16/transparencia-jundiai-criaplataforma-inteligente-para-dados-de-covid-19/.
    95. 95)
      • 42. Erevelles, S., Fukawa, N., Swayne, L.: ‘Big data consumer analytics and the transformation of marketing’, J. Bus. Res., 2016, 69, (2), pp. 897904.
    96. 96)
      • 77. Pramanik, M.I., Lau, R.Y.K., Demirkan, H., et al: ‘Smart health: big data enabled health paradigm within smart cities’, Expert Syst. Appl., 2017, 87, pp. 370383.
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