Review Article of Global journal of Mechanical Sciences and Engineering
EMERGING INTERNET OF THINGS (IOT) TECHNOLOGY TO IDENTIFY AND REPORT SUSPECTED CASES OF EBOLA VIRUS DISEASE: A SURVEY OF 2014 EBOLA OUTBREAK
AMADI, Gloria Y., OMOTOSHO, Olawale J., OKOLIE, Michael O., AGBAJE, Michael O., NGOFA, Reuben. O
Department of Computer Science, Babcock University, Nigeria
The application Internet of Things (IoT) technologies that are readily available across many developed countries of the World can drastically improve the rapid response of health practitioners in handling and managing infectious diseases in patients, especially Zoonotic disease like Ebola Virus disease. The management of Ebola Virus disease in real time is a challenge and will be our focus due to the danger it poses in case of an epidemic outbreak as it requires rapid response to checkmate the disease. This paper uses a case study approach in its methodology. It presents an investigative framework for the application of Internet of Things (IoT) Technologies in tackling the Suspected Case of Ebola Virus Disease in Nigeria. The study proposes the use of IoT technology and other smart devices (such as smartphone, body temperature sensor) in sensing and identifying Suspected Case of Ebola Virus, and Reporting of Real time data generated from the Suspected case anytime, anywhere for quick response intervention. The result is to provide better health emergency rapid response and proper management of the virus disease pattern to achieve timely intervention in the control or containment of the outbreak while limiting the spread and risk factor. The general aim of this work is to design a real time detection and/or identification system for Suspected Cases of Ebola Virus Disease. The specific objectives are to: conduct a relative review of frameworks to aid the propose system, design an Ebola Smart Detection System (EDS) to detect and/or identify a Suspected case of Ebola Virus disease. Identify/evaluate whether or not a Contacted (infected) case is symptomatically a suspected case of Ebola Virus disease. And report data in Real-time to the healthcare practitioner/facility and patient’s guardian, while focusing on providing quick response intervention capable of reducing the spread of the Ebola Virus Disease amongst healthcare practitioners and the general public.
Keywords: Internet of things, Ebola Virus, Electronic Detection Record System, Ebola Smart Detection System,
How to cite this article:
AMADI, Gloria Y., OMOTOSHO,Olawale J., OKOLIE, Michael O.,AGBAJE, Michael O., NGOFA,Reuben. O. Emerging Internet of Things (IoT) Technology to Identify and Report Suspected Cases of Ebola Virus Disease: A Survey of 2014 Ebola outbreak . Global journal of Mechanical Sciences and Engineering, 2020,1:2
1. Al-Fuqaha A., Guizani M., Mohammadi M., Aledhari M., Ayyash M., (2015) “Internet of Things: A Survey on Enabling Technologies, Protocols, and Applications,” in IEEE Communications Surveys & Tutorials, vol. 17, no. 4, pp. 2347-2376.
2. Alexandre Darbon, Davide Colombi, Vittoria Colizza (2019), Disease persistence on temporal contact networks accounting for heterogeneous infectious periods, Royal Society open science.
3. Anil Chacko, T. H. (2018). Security and Privacy Issues with IoT in Healthcare. EAI Endorsed Transactions on Pervasive Health and Technology, 1-7.
4. Anjali S. Yeole, Kalbande, D.R (2016), Use of Internet of Things (IoT) in Healthcare: A Survey. Conference Paper: the ACM Symposium.
5. Alamelu A., & Mythili A. (2017). Design of IoT based generic health care system. International conference on Microelectronic Devices, Circuits and Systems (ICMDCS) (pp. 1 – 4). IEEE Conferences.
6. Babu, G.C., Shantharajah, S.P. (2018). Survey on data analytics techniques in healthcare using IoT platform, Int. J. Reasoning-based Intelligent Systems, Vol.10, Nos. 3:4, pp.183-196.
7. Broadhurst, M. J., Brooks, T. J., & Pollock, N. R. (2016). Diagnosis of Ebola Virus Disease: Past, Present, and Future. Clinical microbiology reviews, 29(4), 773–793.
8. Bell B.P, Damon I.K, & Jernigan D.B. (2016), Overview, Control Strategies, and Lessons Learned in the CDC Response to the 2014–2016 Ebola Epidemic. Morbidity and Mortality Weekly Report. 2016; 65(3):4-11.
9. Cindy Perscheid, Justus B., Claus H., Michael J., David M., Todd L., Oluwunmi A., Kerstin D., Goran K., Sandra B., Norbert S., Daneil T., Gerard K. (2018). Ebola Outbreak Containment: Real-Time Task and Resource Coordination with SORMAS. (P. AbdelMalik, Ed.) Frontiers in ICT | www.frontiersin.org, 5:7, 1-11.
10. Diamond, M. (2016). The Internet of Things & Infectious Disease Society for Participatory Medicine. Retrieved from Society for Participatory Medicine: https://participatorymedicine.org/2016/the-internet-of-things-and-infectious-disease-michael-diamond/
11. Elflein John (2018), The Ebola Virus Disease – Statista Retrieved from https://www.statista.com/topics/2250/ebola-virus-disease-evd/
12. Elhadj I. B., Marie-Claire L., & Tom F. (2015). Clinical Presentation of Patients with Ebola Virus Disease in Conakry, Guinea. The New England Journal of Medicine, 1 – 8.
13. Emmanuel Onunche Musa, Elizabeth Adedire, Olawunmi Adeoye, Peter Adewuyi, Ndadilnasiya Waziri, Patrick Nguku, Miriam Nanjuya, Bisola Adebayo, Akinola Fatiregun, Bassey Enya, Chima Ohuabunwo, Kabiru Sabitu, Faisal Shuaib, Alex Okoh, Olukayode Oguntimehin, Nnanna Onyekwere, Abdulsalami Nasidi, Adebola Olayinka, (2014), Epidemiological profile of the Ebola virus disease outbreak in Nigeria. The Pan African Medical Journal. 2015; 21:331.
14. Furness, C. (2016). Syndromic Surveillance for Healthcare-Associated Infections.htm. Retrieved from Infection Tips: https://infectioncontrol.tips/2016/02/15/syndromic-surveillance-for-healthcare-associated-infections/.
15. Fähnrich C, Denecke K, Adeoye OO, Benzler J, Claus H, Kirchner G, Mall S, Richter R, Schapranow MP, Schwarz N, Tom-Aba D, Uflacker M, Poggensee G, Krause G. (2015), Surveillance and Outbreak Response Management System (SORMAS) to support the control of the Ebola virus disease outbreak in West Africa. Euro Surveill.; 20(12):pii=21071. http://www.eurosurveillance.org/ViewArticle.aspx?ArticleId=21071
16. Gulraiz J., Joyia R. M. (2017). Internet of Medical Things (IoMT): Applications, Benefits and Future Challenges in Healthcare Domain. Journal of Communications Vol. 12, No. 4, 240-247.
17. Gokulnath C., & Shantharajah S. (2018). Survey on data analytics techniques in healthcare using IoT platform. Inderscience Enterprises Ltd.
18. Gope P., & Hwang T. (2016). BSN-Care: a secure IoT-based modern healthcare system using body sensor network. IEEE Sensors 16(5), 1368–1376.
19. Hirokazu Kimura, H. T. (2014). Ebola virus disease: a literature review. Journal of Coastal Life Medicine, 90.
20. Jia Bainga Kangbai (2018) Tracking Ebola through cellphone, Internet-of- Things, and Blockchain technology. Emerging Infectious Diseases 1(2):14-16.
21. Kabiru K. Salami, Mathew Ayegboyin, Isaac A. Adedeji (2018), Ebola outbreak in Nigeria: perceptions from commercial motorcyclists and passengers in Ibadan, Nigeria. Health Education Research, Volume 34, Issue 1, Pages 1–14.
22. Kamalini Lokuge, Caleo G., Greig J., Duncombe J., McWilliam N., Squire J. (2016), Successful control of Ebola Virus disease: Analysis of service based data from rural Sierra Leone, PLoS Neglected Tropical Disease. 10(3): e0004498.
23. Kouadio KI, Clement P, Bolongei J, Tamba A, Gasasira AN, Warsame A, Okeibunor JC, Ota MO, Tamba B, Gumede N, Shaba K, Poy A, Salla M, Mihigo R, Nshimirimana D. (2015), Epidemiological and Surveillance Response to Ebola Virus Disease Outbreak in Lofa County, Liberia; Lessons Learned. PLoS Curr.
24. Krishna C.S, & Sasikala T. (2019), Healthcare Monitoring System Based on IoT using AMQP Protocol. International Conference on Computer Networks and Communication Technologies. Singapore: Springer Nature Singapore Pte Ltd.
25. Lakkis, S., & Elshakankiri, M. (2017). IoT based emergency and operational services in medical care systems. In 13th CTTE/CMI conference on internet of things—business models, users, & networks, Denmark.
26. Matua G., Van Wal M., & Locsin C. (2015). Ebola hemorrhagic fever outbreaks: strategies for effective epidemic management, containment and control. Braz J. Infectious Diseasee, 19(3):308–313.
27. Mukhopadhyay S. Chandra (2015). A review: Wearable sensors for human activity monitoring. IEEE Sensor J. CrossRef zb MATH, 15(3):1321–1330.
28. Niall McCarthy, (2014) Ebola virus disease (EVD) – centers for disease control and prevention, World Health Organization: https://www.statista.com/chart/2844/ebola-epidemics-since-1976/
29. Ohuabunwo, C. (2016). Clinical profile and containment of the Ebola virus disease outbreak in two large West African cities. International Journal of Infectious Diseases, 7.
30. Organization, W. H. (2015). Liberia: a country – and its capital – are overwhelmed with Ebola cases. Retrieved from World Health Organization: https://www.who.int/csr/disease/ebola/one-year-report/liberia/en/
31. Organization, W. H. (2019). Ebola Virus Disease. Retrieved from World Health Organization: https://www.who.int/news-room/fact-sheets/detail/ebola-virus-disease
32. Organization, W. H. (2019). Ebola virus disease – Democratic Republic of the Congo . Retrieved from World Heath Organization: https://www.who.int/csr/don/16-may-2019-ebola-drc/en/
33. Philomena Raftery, O. C. (2018). Establishing Ebola Virus Disease (EVD) diagnostics using GeneXpert technology at a mobile laboratory in Liberia: Impact on outbreak response, case management and laboratory systems strengthening. PLOS Neglected Tropical Diseases. Eric Mossel, Center for Disease Control and Prevention.
34. Prosanta Gope, Tzonelih Hwang (2015), BSN-Care: A Secure IoT-based Modern Healthcare System Using Body Sensor Network. IEEE Sensors Journal 16(5):1-1.
35. Raftery P, Condell O, Wasunna C, Kpaka J, Zwizwai R, Nuha M. (2018) Establishing Ebola Virus Disease (EVD) diagnostics using GeneXpert technology at a mobile laboratory in Liberia: Impact on outbreak response, case management and laboratory systems strengthening. PLoS Negl. Trop. Dis. 12(1): e0006135.
36. Rachah A., & Torres D. (2016). Dynamics and optimal control of Ebola transmission. Math Comput Sci MathSciNetCrossRefzbMATHGoogle Scholar, 10(3):331–342.
37. Ravi Kishore Kodali, Govinda Swamy and Boppana Lakshmi (2015), An Implementation of IoT for Healthcare. IEEE Recent Advances in Intelligent Computational Systems (RAICS).
38. Rahmani, A., Thanigaivelan, N. K., Gia, T. N., Granados, J., Negash, B., Liljeberg, P., & Tenhunen, H. (2015). Smart e-health gateway: Bringing intelligence to Internet-of-Things based ubiquitous healthcare systems. In 12th annual IEEE consumer communications and networking conference (CCNC) pp. 826–834.
39. Riazul S.M. Ismal, Daehan Kwak & Mahmud Hossain (2015), The Internet of Things for Healthcare: A Comprehensive Survey. IEEE Journals. Vol.3 (172)1.
40. Sanjay S., Sandeep K., & Sunil K. (2016). IoT-based cloud framework to control Ebola virus outbreak. J. Ambient Intelligence. 459-476.
41. Satija, U., Ramkumar, B., & Sabarimalai Manikandan, M. (2017). Real-time signal quality-aware ECG telemetry system for IoT-based health care monitoring. IEEE Internet of Things Journal, 4(3), 815–823.
42. Shweta Bansal, Jonathan Read, Lauren Ancel Meyers (2010), ¬The dynamic nature of contact networks in infectious disease epidemiology. Journal of biological
43. Steven R., Mark P., & Stephan W. (2015). Remote Sensing of Vital Signs: A Wearable, Wireless Band-Aid Sensor with personalized analytics for improved Ebola Patient care and Worker Safety, 459-476.
44. Steven R., Steinhubl, Mark P. Marriott, Stephan W. Wegerich (2015), Remote Sensing of Vital Signs: A Wearable, Wireless “Band-Aid” Sensor With Personalized Analytics for Improved Ebola Patient Care and Worker Safety. Global Health: Science and Practice 3(3):516-9 ·
45. Tom-Aba D., Olayinka AT, Nguku P, Waziri N., Adewuji P., (2015) Innovative Technological approach to Ebola Virus Disease Outbreak Response in Nigeria Using the Open Data Kit and FormHub Technology.
46. Yacisin K, Balter S, Fine A, Weiss D, Ackelsberg J, Prezant D. (2015), Centers for Disease Control and Prevention (CDC). Ebola virus disease in a humanitarian aid worker – New York City.
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