Salgın hastalıkların yönetiminde Nesnelerin İnterneti (NİT) kullanımı: COVID-19 örneği

Year 2021, Volume: 8 Issue: 2, 169 - 177, 01.06.2021

Döne Tütüncü , M.fevzi Esen

Abstract

Giriş ve Amaç: Çalışmada, COVID-19 salgın yönetiminde nesnelerin internetinden (NİT) hangi alanlarda faydalanıldığının nitel araştırma yöntemlerinden biri olan bilim haritalarıyla tespit edilmesi amaçlanmıştır.
Gereç ve Yöntem: Sciencedirect ve Pubmed platformları kullanılarak, Ocak 2020–Ocak 2021 arasında COVID-19 salgınının yönetiminde NİT uygulamalarına ilişkin 150 makale incelenmiştir. Bilimsel araştırmaların içerik ve ağ yapılarının tespitinde VOSviewer paket programı kullanılmıştır.
Bulgular: NİT’in büyük veri akışının sağlanmasına yönelik ağ optimizasyonu, salgın yayılımının gerçek zamanlı izlenmesi ve tahminlenmesi, sosyal mesafenin korunması amacıyla uyarı sistemlerinin oluşturulması, hastalığa ilişkin biyolojik verilerin ve tıbbi görüntülerin sınıflandırılması, kronik hastaların tespit edilmesi, hastaları ve toplumu yönlendirici mesajlaşma sistemlerinin kullanımı, sağlık iş gücünün planlanması, tele sağlık hizmetleri, medikal NİT, hasta verilerinin güvenliği ve gizliliği, izlem için insansız hava teknolojileri ve salgın yönetiminde maliyet etkinliğinin sağlanması çalışmalarında yoğunluklu olarak gerçekleştirildiği tespit edilmiştir.
Sonuç: Çalışma sonucunda, NİT’in salgın yönetiminde önemli bir role sahip olduğu görülmekte olup, NİT’in sosyal mesafenin korunması ve koruyucu önlemlerin alınması, kişisel ve ticari faaliyetlerin sürdürülmesi ve sağlık hizmetlerinin yürütülmesi çalışmalarında kullanıldığı anlaşılmaktadır. Yaşlı ve kronik hasta grubunun sağlık durumları ve fiziksel aktivitelerinin takip edilmesinde giyilebilir teknolojilere odaklanan çalışmaların sayısının arttırılmasının önemli olduğu düşünülmektedir.

Keywords

Nesnelerin interneti, COVID-19, Salgın Yönetimi.

Supporting Institution

Çalışmayı destekleyen kurum yoktur.

Project Number

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Thanks

Bu çalışmayı yapmamda bana destek olan Fevzi hocama teşekkür ederim.

The use of Internet of Things (IoT) in the management of epidemics: The case of COVID-19

Abstract

Introduction and Purpose: In this study, the aim is to determine the use of internet of things (IoT) in COVID-19 pandemic management with a literature review as a one of the qualitative research methodology.
Materials and Methods: 150 articles on COVID-19 pandemic management are examined by u sing Sciencedirect and Pubmed platforms, for the period between January 2020 - January 2021. Articles’ contents and network structures are obtained with VOSviewer software.
Results: Network optimization, big data flow, real-time monitoring and estimation of epidemic spread, creation of warning systems to protect social distance, classification of biomedical data and medical images related to the disease, detection of chronic patients, use of messaging systems to guide the community, planning of health workforce, telehealth services, use of big data and internet of medical objects (IoMT), security and privacy of patient data, drone technologies for monitoring pandemic and cost management have been found as the most discussed topics.
Conclusion: As a conclusion, it can be asserted that IoT has a crucial role in pandemic management and it helps to maintain social distance and take protective measures, sustain personal and commercial activities, and conduct health services. It is considered that the increase in the number of studies focusing on wearable technologies especially in monitoring the health conditions and physical activities of the elderly and chronic p atient group is important.

Keywords

Internet of things, COVID-19, Pandemic Management

Project Number

Proje numarası yoktur.

References

• Yurdakul, E.S. (2015). Tarihte önemli bulaşıcı hastalık salgınları. Turkiye Klinikleri J Public Health-Special Topics, 1(3), 1-6.
• Huremović, D. (2019). Brief history of pandemics (pandemics throughout history). Huremović, D(Eds.), Psychiatry of Pandemics; 7-35, Springer.
• Rolka, H., O’Connor, J. (2011). Real-time public health biosurveillanc. Zeng, D., Chen, H., Castillo-Chavez, C., Lober, W.B., Thurmond, M(Eds.), Infectıous dısease ınformatıcs and bıosurveıllance. 3-22, Springer.
• Christaki, E. (2015). New technologies in predicting, preventing and controlling emerging infectious diseases. Virulence, 6(6), 558–65.
• Hein, S., Bayer, S., Berger, R., Kraft, T., Lesmeister, D. (2017). An integrated rapid mapping system for disaster management, the international archives of photogrammetry. Remote Sensing and Spatial Information Sciences, 42, 499–504.
• Perera, C., Liu, C.H., Jayawardena, S. (2015). The emerging internet of things marketplace from an industrial perspective: a survey. IEEE Transactions on Emerging Topics in Computing, 3(4), 585–598.
• Yang, L., Yang, S.H., Plotnick, L. (2013). How the ınternet of things technology enhances emergency response operations. Technological Forecasting and Social Change, 80(9), 1854-1867.
• Yang, T., Gentile, M., Shen, C.F., Cheng, C.M. (2020). Combining point-of-care diagnostic sand internet of medical things (IoMT) to combat the Covıd-19 pandemic. Diagnostics, 10(4), 224.
• Zafar, U., Shah, M.A., Wahid, A., Akhunzada, A., Arif, S. (2019). Exploring IoT applications for disaster management: ıdentifying key factors and proposing future directions, recent trends and advances ın wireless and ıot-enabled networks. Springer, Cham, 291–309.
• Zhang, J., Li, W., Han, N., Kan, J. (2008). Forest fire detection system based on a ZigBee wireless sensor network. Frontiers of Forestry in China, 3, 369–374.
• WHO (2021). Covid-19 Pandemic. Retrieved January 1, 2021, https://www.who.int/emergencies/diseases/novel-coronavirus.
• Rahmana, M.S., Peeri, N.C., Shrestha, N., Zaki, R., Haque, U., Hamidd, S.H. (2020). Defending against the novel coronavirus (Covıd-19) outbreak: How can the Internet of Things (IoT) help to save the world? Health Policy and Technology, 9, 136-138.
• Albahri, A.S., Alwan, J. K., Taha, Z. K., Ismail, S. F., Hamid, R.A. Zaidan, A.A., Albahri, O.S., Zaidan, B.B., Alamoodi, A.H., Alsalem, M.A. (2020). IoT-based telemedicine for disease prevention and health promotion: state-of-the-art. Journal of Network and Computer Applications, 173,1-37.
• Mohammed, M.N., Syamsudin, H., Sairah A.K., Ramli, R., Yusuf, E. (2020). Novel covid-19 detection and diagnosis system using IoT based. Smart Helmet, 24, 2296–2303.
• McAuslane, H. Morgan, D., Hird, C., Lighton, L., McEvoy M. (2014). Communicable disease outbreak management. Operational Guidance, 1-66.
• Khubone, T., Tlou, B., & Mashamba-Thompson, T.P. (2020). Electronic Health Information Systems to Improve Disease Diagnosis and Management at Point-of-Care in Low and Middle Income Countries: A Narrative Review. Diagnostics (Basel, Switzerland), 10(5), 327.
• WHO (2018). Managing epidemics. Retrieved January 1, 2021, https://www.who.int/emergencies/diseases/managing-epidemics-interactive.pdf.
• World Bank Group (2020). Urban and disaster risk management responses to Covıd-19. Urban, Disaster Risk Management Resilience and Land (GPURL) The World Bank, 1-16.
• Shujahat, M., Sousa, M.J., Hussain, S., Nawaz, F., Wang, M., Umer, M. (2019). Translating the impact of knowledge management processes into knowledge-based innovation: the neglected and mediating role of knowledge-worker productivity, Journal of Business Research, 94, 442–450.
• Santoro, G., Vrontis, D., Thrassou, A., Dezi, L. (2017). The Internet of Things: Building a knowledge management system for open innovation and knowledge management capacity. Technological Forecasting and Social Change, 136, 347-354.
• Oktari, R.S., Munadi, K., Idroes, R., Sofyan, H. (2020). Knowledge management practices in disaster management: Systematic review. International Journal of Disaster Risk Reduction, 51, 1-15.
• Hirunsalee, S., Kanegae, H. (2012). The use of local knowledge and its transfer for community self-protection development in flood prone residential area. World Academy of Science, Engineering and Technology. 40, 480–485.
• Whetzel, P.L., Noy, N.F., Shah, N.H., Alexander, P.R., Nyulas, C., Tudorache, T., & Musen, M.A. (2011). BioPortal: enhanced functionality via new web services from the national center for biomedical ontology to access and use ontologies in software applications. Nucleic acids research, 39, 541–545.
• Daneshgar, F. Chattopadhyay, S. (2011). A framework for crisis management in developing countries. Intelligent Decision Technologies, 5(2), 189–199.
• Jameson, S. , Baud, I. (2016). Varieties of knowledge for assembling an urban flood management governance configuration in Chennai, India. Habitat International, 54(2), 112–123.
• Akhtar, P., Khan, Z., Frynas, J.G., Tse, Y.K. and Rao‐Nicholson, R. (2018), Essential micro‐foundations for contemporary business operations: top management tangible competencies, relationship‐based business networks and environmental sustainability. British Journal of Management, 29, 43-62.
• Sajith, P.M., Nair, V., Suresh, V.P., Madhu, A. (2020). IoT based landslide disaster management system, in: International conference on computer networks and ınventive communication Technologies. Lecture Notes on Data Engineering and Communications Technologies, Cham, 660–667.
• Luo, Z., Han, S., Huang, H., Foropon, C. (2018). Harnessing the power of crowdsourcing and Internet of Things in disaster response. Applıcatıons Of Orın Dısaster Relıef Operatıons, 1175–1190.
• He, S. Using the Internet of Things to fight virus outbreaks. Retrieved January 1, 2021, https://www.technologynetworks.com/immunology/articles/using- the-internet-of-things-to-fight-virus-outbreaks-331992.
• Lee, I., Lee, K. (2015). The Internet of Things (IoT): Applications, investments, and challenges for enterprises, Business Horizons, 58(4), 431-440.
• Tiwari, S., Wee, H.W., Daryanto, Y. (2018). Big data analytics in supply chain management between 2010 and 2016: Insights to industries, Computers & Industrial Engineering, 115, 319-330.
• Diaz, M., Martin, C., Rubio, B. (2016). State-of-the-art, challenges, and open issues in the integration of internet of things and cloud computing. Journal of Network Computer Applications. 67, 99–117.
• Chander, Bhanu & Kumaravelan, G. (2020). Internet of Things: Foundation. Peng S.L., Pal S., Huang L(Eds.), Principles of Internet of Things (IoT) ecosystem: Insight paradigm. Springer Nature: Switzerland, 3-33.
• Cisco (2018). Cisco annual ınternet report (2018–2023) white paper. Retrieved January 1, 2021, https://www.cisco.com/c/en/us/solutions/collateral/executive-perspectives/annual-internet-report/white-paper-c11-741490.html
• Huawei (2019). Report of NB-IoT. Retrieved January 1, 2021, https://www.huawei.com/minisite/4-5g/img/NB-IOT.pdf
• McKinsey (2015). The Internet of Things: Mapping the Value Beyond the Hype. Retrieved January 1, 2021, https://www.mckinsey.com/
• Grand Review Research (GVR) (2020). Industrial Internet Of Things market size, share & trends analysis report by component. Retrieved January 1, 2021, https://www.grandviewresearch.com/industry-analysis/industrial-internet-of-things-iiot-market.
• Pang, Z., Chen, Q., Han, W., Zheng, L. (2012). Value-centric design of the internet-of-things solution for food supply chain: Value creation, sensor portfolio and information fusion. Information Systems Frontiers. 17, 289-319.
• Cirani, S., Picone, M., Gonizzi, P., Veltri, L., Ferrari, G. (2015). IoT-OAS: An oauth-based authorization service architecture for secure services in IoT scenarios. IEEE Sensors Journal, 15(2), 1224-1234.
• Bravo, J., Ramon H., Salvador, W.N., gabriel, c., carlos, s. (2018). towards natural ınteraction by enabling technologies: A near field communication approach. 338–51 in Constructing Ambient Intelligence. Springer: Berlin, Heidelberg.
• Dwivedi, Y.K., Hughes, L., Coombs, C., Constantiou, I., Duan, Y., Edwards, J.S., Gupta, B., Lal, B., Misra, S., Pranshant, P., Raman, R., Rana, N.P., Sharma, S.K., Upadhyay, U. (2020). Impact of covid-19 pandemic on information management research and tpractice: Transforming education, work and life. International Journal of Information Management, 55, 1-20.
• Carroll, N., Conboy, K. (2020). Normalising the “new normal”: Changing tech-driven work practices under pandemic time pressure. International Journal of Information Management, 55, 1-6.
• Kodama, M. (2020). Digitally transforming work styles in an era of infectious disease. International Journal of Information Management, 55, 1-6.
• Ali, S., Choudhary, Y., Javaidc, M., Haleem, A., Singh, R. P., Suman, R., Rab, S. (2020). Make-over in the sustainable working platform during covid-19 pandemic. Sustainable Operations and Computers, 1, 8-12.
• Hellewell, J., Abbott, S., Gimma, A., Bosse, N.I., Jarvis, C.I., Russell, T.W., Flasche, S. (2020). Feasibility of controlling covıd-19 outbreaks by isolation of cases and contacts. The Lancet Global Health, 8(4), 1-9.
• Welle, D. (2020). Coronavirus tracking apps: How are countries monitoring infections? Retrieved October 25, 2021, https://www.dw.com/en/coronavirus-tracking-apps-how-are-countries-monitoring-infections/a-53254234.
• Singh, R.P., Javaid, M., Haleem, A., Suman, R. (2020). Internet of things (IoT) applications to fight against covid-19 pandemic. Diabetes & Metabolic Syndrome: Clinical Research & Reviews, 14(4), 521-524.
• Zhu, N., Zhang, D., Wang, W., Li, X., Yang, B., Song, J. (2020). A novel coronavirus from patients with pneumonia in China, 2019. The New England Journal of Medicine, 382(8), 727-733.
• Shorfuzzaman, M., Hossain, M.S., Alhamid M.F. (2020). Towards the sustainable development of smart cities through mass video surveillance: A response to the covid-19 pandemic. Sustainable Cities and Society, 64, 1-11.
• Kumar, K., Kumar, N., Shah, R. (2020). Role of IoT to avoid spreading of covid-19. International Journal of Intelligent Networks, 1, 32-35.
• Porte, J., Briones, A., Maso, J. M., Pares, C., Zaballos, A. and Pijoan, L. (2020). Heterogeneous wireless IoT architecture for natural disaster monitorization. EURASIP Journal on Wireless Communications and Networking, 1-27.
• Liu, H., Li, Y. (2020). Smart cities for emergency management. Nature, 578, 515.
• Gupta, D., Bhatt, S., Gupta, M., Tosun, A.S. (2021). Future smart connected communities to fight covid-19 outbreak. Internet of Things, 13, 1-43.