Skip to main content
SpringerLink
Log in

Internet of Things for Epidemic Detection: A Critical Review

  • Conference paper
  • First Online:
Advances in Computer Communication and Computational Sciences

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 924))

Abstract

An epidemic is a spread of an infectious disease in a community or a region affecting a large number of people. Prompt detection of epidemic outbreaks can help reduce the impact saving many lives and enable controlling future outbreaks. Hence detecting and identifying the cause of the outbreak quickly and accurately plays a vital role in controlling the consequences of the outbreak. In recent times, computer-based models and simulations have increasingly been used for detecting and characterizing disease outbreaks in a community. Several models and systems have been proposed for detecting a possible disease outbreak from data collected from individuals seeking health care at individual clinics before the problem becomes serious. In this paper, the authors present a critical review of Internet of Things-based epidemic detection models presented in the literature with special emphasis on the strengths and weaknesses of each model proposed.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Jafarpour, N., Izadi, M., Precup, D., Buckeridge, D.L.: Quantifying the determinants of outbreak detection performance through simulation and machine learning. J. Biomed. Inform. 53, 183–187 (2015)

    Article  Google Scholar 

  2. Mathew, A., Amreen, S.A.F., Pooja, H.N., Verma, A.: Smart disease surveillance based on Internet of Things (IoT). Int. J. Adv. Res. Comput. Commun. Eng. 4(5), 180–183 (2015)

    Google Scholar 

  3. Zhang, Z., Wang, H., Wang, C., Fang, H.: Cluster-based epidemic control through smartphone-based body area networks. IEEE Trans. Parallel Distrib. Syst. 26(3), 681–690 (2015)

    Article  Google Scholar 

  4. Lessler, J., Cummings, D.A.T.: Mechanistic models of infectious disease and their impact on public health. Am. J. Epidemiol. 183(5), 415–422 (2016)

    Article  Google Scholar 

  5. Orbann, C., Sattenspiel, L., Miller, E., Dimka, J.: Defining epidemics in computer simulation models: how do definitions influence conclusions? Epidemics 19, 24–32 (2017)

    Article  Google Scholar 

  6. Firdhous, M.F.M., Sudantha, B.H., Karunaratne, P.M.: IoT enabled proactive indoor air quality monitoring system for sustainable health management. In: 2nd IEEE International Conference on Computing and Communication Technologies, Chennai, India, pp. 216–221 (2017)

    Google Scholar 

  7. Elkhodr, M., Shahrestani, S., Cheung, H.: A middleware for the Internet of Things. Int. J. Comput. Netw. Commun. (IJCNC) 8(2), 159–178 (2016)

    Article  Google Scholar 

  8. Smits, C.H.M., van den Beld, H.K., Aartsen, M.J., Schroots, J.J.: Aging in the Netherlands: state of the art and science. The Gerontologist 54(3), 335–343 (2014)

    Article  Google Scholar 

  9. Baker, S.B., Xiang, W., Atkinson, I.: Internet of Things for smart healthcare: technologies, challenges, and opportunities. IEEE Access 5, 26521–26544 (2017)

    Article  Google Scholar 

  10. Nii-Trebi, N.I.: Emerging and neglected infectious diseases: insights, advances, and challenges. Biomed. Res. Int. 2017(5245021), 1–15 (2017)

    Article  Google Scholar 

  11. Islam, S.M.R., Kwak, D., Kabir, M.H., Hossain, M., Kwak, K.S.: The Internet of Things for health care: a comprehensive survey. IEEE Access 3, 678–708 (2015)

    Article  Google Scholar 

  12. Dimitrov, D.V.: Medical Internet of Things and Big Data in healthcare. Healthc. Inf. Res. 22(3), 156–163 (2016)

    Article  Google Scholar 

  13. Poon, C.C.Y., Lo, B.P.L., Yuce, M.R., Alomainy, A., Hao, Y.: Body sensor networks: in the era of big data and beyond. IEEE Rev. Biomed. Eng. 8, 4–16 (2015)

    Article  Google Scholar 

  14. Yin, Y., Zeng, Y., Chen, X., Fan, Y.: The Internet of Things in healthcare: an overview. J. Ind. Inf. Integr. 1, 1–13 (2016)

    Google Scholar 

  15. Ahmed, M.U., Bjorkman, M., Causevic, A.D., Fotouhi, H., Linden, M.: An overview on the Internet of Things for health monitoring systems. In: 2nd EAI International Conference on IoT Technologies for HealthCare, Rome, Italy, pp. 429–436 (2015)

    Google Scholar 

  16. Alqahtani, F.H.: The application of the Internet of Things in healthcare. Int. J. Comput. Appl. 180(18) (2018)

    Google Scholar 

  17. Abebe, S.M., Andargie, G., Shimeka, A., Alemu, K., Kebede, Y., Wubeshet, M., Tariku, A., Gebeyehu, A., Bayisa, M., Yitayal, M., Awoke, T., Azmeraw, T., Birku, M.: The prevalence of non-communicable diseases in northwest Ethiopia: survey of dabat health and demographic surveillance system. BMJ Open 7(10), 1–9 (2017)

    Article  Google Scholar 

  18. Hyder, A.A., Wosu, A.C., Gibson, D.G., Labrique, A.B., Ali, J., Pariyo, G.W.: Noncommunicable disease risk factors and mobile phones: a proposed research agenda. J. Med. Internet Res. 19(5), 1–16 (2017)

    Article  Google Scholar 

  19. Ditmar, M.F.: Pediatric secrets, Chap. In: Infectious Diseases, 5 edn., pp. 354–422. Elsevier, Milton, ON Canada (2011)

    Chapter  Google Scholar 

  20. Dimitri, N.: The economics of epidemic diseases. PLoS ONE 10(9), 1–8 (2015)

    Article  Google Scholar 

  21. Morens, D.M., Folkers, G.K., Fauci, A.S.: What is a pandemic? J. Infect. Dis. 200(7), 1018–1021 (2009)

    Article  Google Scholar 

  22. Zhang, Z., Wang, H., Lin, X., Fang, H., Xuan, D.: Effective epidemic control and source tracing through mobile social sensing over WBANs. In: IEEE INFOCOM, Turin, Italy, pp. 300–304 (2013)

    Google Scholar 

  23. Azzawi, M.A., Hassan, R., Bakar, K.A.A.: A review on Internet of Things (IoT) in healthcare. Int. J. Appl. Eng. Res. 11(20), 10216–10221 (2016)

    Google Scholar 

  24. Masuda, N., Holme, P.: Predicting and controlling infectious disease epidemics using temporal networks. F1000 Prime Rep. 5(6), 1–12 (2013)

    Google Scholar 

  25. Cheedella, P.: Internet of Things in Healthcare System, M.Tech. thesis, Division of Software Systems, VIT University, India (2016)

    Google Scholar 

  26. Sood, S.K., Mahajan, I.: Wearable IoT sensor based healthcare system for identifying and controlling Chikungunya virus. Comput. Ind. 91, 33–44 (2017)

    Article  Google Scholar 

  27. Sandhu, R., Gill, H.K., Sood, S.K.: Smart monitoring and controlling of pandemic influenza A (H1N1) using social network analysis and cloud computing. J. Comput. Sci. 12, 11–22 (2016)

    Article  Google Scholar 

  28. Zhao, W., Wang, C., Nakahira, Y.: Medical application on Internet of Things. In: IET International Conference on Communication Technology and Application (ICCTA 2011), Beijing, China, pp. 660–665 (2011)

    Google Scholar 

  29. Turcu, C.E., Turcu, C.O.: Internet of Things as key enabler for sustainable healthcare delivery. Proc. Soc. Behav. Sci. 73(27), 251–256 (2013)

    Article  Google Scholar 

  30. Sareen, S., Sood, S.K., Gupta, S.K.: Secure Internet of Things-based cloud framework to control Zika virus outbreak. Int. J. Technol. Assess. Health Care 33(1), 11–18 (2017)

    Article  Google Scholar 

  31. Huang, J., Zhao, H., Zhang, J.: Detecting flu transmission by social sensor in China. In: 2013 IEEE International Conference on Internet of Things, Beijing, China, pp. 1242–1247 (2013)

    Google Scholar 

  32. Wilson, K., Brownstein, J.S.: Early detection of disease outbreaks using the Internet. Can. Med. Assoc. J. 180(8), 829–831 (2009)

    Article  Google Scholar 

  33. Kulkarni, A., Sathe, S.: Healthcare applications of the Internet of Things: a review. Int. J. Comput. Sci. Inf. Technol. 5(5), 6229–6232 (2014)

    Google Scholar 

  34. Bui, N., Zorzi, M.: Health care applications: a solution based on the Internet of Things. In: 4th International Symposium on Applied Sciences in Biomedical and Communication Technologies, Barcelona, Spain, pp. 131:1–131:5 (2011)

    Google Scholar 

  35. Holme, P.: Temporal network structures controlling disease spreading. Phys. Rev. E 94(2), 1–8 (2016)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Faculty of Information Technology, University of Moratuwa, Moratuwa, Sri Lanka

    S. A. D. S. Kaushalya

  2. Department of Computational Mathematics, University of Moratuwa, Moratuwa, Sri Lanka

    K. A. D. T. Kulawansa

  3. Department of Information Technology, University of Moratuwa, Moratuwa, Sri Lanka

    M. F. M. Firdhous

Authors
  1. S. A. D. S. Kaushalya
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. K. A. D. T. Kulawansa
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. M. F. M. Firdhous
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to M. F. M. Firdhous .

Editor information

Editors and Affiliations

  1. Department of Mathematics and Computer Science, University of Missouri–St. Louis, St. Louis, MO, USA

    Sanjiv K. Bhatia

  2. CSED, ABES Engineering College, Ghaziabad, Uttar Pradesh, India

    Shailesh Tiwari

  3. Department of Computer Science and Engineering, Motilal Nehru National Institute of Technology, Allahabad, Uttar Pradesh, India

    Krishn K. Mishra

  4. Department of Information Technology, Rajkiya Engineering College, Azamgarh, Uttar Pradesh, India

    Munesh C. Trivedi

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Kaushalya, S.A.D.S., Kulawansa, K.A.D.T., Firdhous, M.F.M. (2019). Internet of Things for Epidemic Detection: A Critical Review. In: Bhatia, S., Tiwari, S., Mishra, K., Trivedi, M. (eds) Advances in Computer Communication and Computational Sciences. Advances in Intelligent Systems and Computing, vol 924. Springer, Singapore. https://doi.org/10.1007/978-981-13-6861-5_42

Download citation

Publish with us

Policies and ethics

Search

Navigation