Aedes Breeding Habitat Localization System

  • Authors

    • Aliza Sarlan
    • Syed Muhammad Afiq SyedMuhammad Azhan
    • Rohiza Ahmad
    • Wan Fatimah Wan Ahmad
    • Azham Hussain
    2018-11-27
    https://doi.org/10.14419/ijet.v7i4.19.22012
  • Data mining, dengue disease, IoT, sensor.

  • One of the main health issues Malaysia faced is dengue disease that is transmitted via Aedes mosquitos. The most prominence area of dengue cases in Malaysia is in urban area with construction site area reported the most. Till today, prevention and controlling methods are the only solution in combatting Aedes and dengue outbreak. The current aedes prevention approach via search and destroy involves manual searching of potential Aedes breeding habitat. The objective of this project is to develop an IoT based system called as the Aedes Breeding Habitat Localization System to locate watery areas, collect data and analyze data to improve understanding on potential Aedes breeding areas. The iterative and incremental prototyping approach has been used to develop prototype called ABLD. Also, an experiment for precision testing has been conducted to validate the system. Results found that time for data collection has been reduced tremendously and the collected data assist the health agencies improving data analytical process forecasting pattern and preventing future dengue outbreak.

     

     

  • References

    1. [1] L. Poon, “Dengue Fever 101: How Serious Is This Disease?â€, 30 May 2014. http://www.npr.org/sections/health-shots/2014/05/30/317057771/dengue-fever-101-how-serious-is-this-disease. Retrieved June 17, 2017.

      [2] D. Roiz, M. Neteler, C. Castellani, D. Arnoldi, and A. Rizzoli, “Climatic Factors Driving Invasion of the Tiger Mosquito (Aedes albopictus) into New Areas of Trentino,†Northern Italy. PLoS ONE, 2011, 6(4).

      [3] A. Chakravarti, and R. Kumaria, “Eco-epidemiological analysis of dengue infection during an outbreak of dengue fever, Indiaâ€, Virology journal, 2(1), 32. 2005.

      [4] R. Ahmad, I. Suzilah, WMA. Wan Najdah, O. Topek, I. Mustafakamal and HL. Lee, “Factors determining dengue outbreak in Malaysiaâ€, PLoS ONE 13(2), 2018 e0193326. https://doi.org/10.1371/journal.pone.0193326.

      [5] Y. L. Hii, R. A. Zaki, N. Aghamohammadi, and J. Rocklöv, “Research on Climate and Dengue in Malaysia: A Systematic Review. Current environmental health reportsâ€, 3(1), 81-90, 2016.

      [6] R. Herriman, “Malaysia dengue cases top 100,000 in 2016, Dengue vaccine still not approvedâ€, 04 January 2017,http://outbreaknewstoday.com/malaysia-dengue-cases-top-100000-2016-denguevaccine-still-not-approved-45817/ Retrieved July 20, 2017.

      [7] World Health Organization (WHO), “Update on the Dengue situation in the Western Pacific Regionâ€, 9 August 2016. http://www.wpro.who.int/emerging_diseases/dengue_biweekly_20160809.pdf. Retrieved 18 Sept 2017.

      [8] Ninth Malaysia Plan 2006-2010. Manila, World Health Organization. http://www.wpro.who.int/NR/rdonlyres/BECB2D43-06FC-4DAE-B0BC3F29EC8E500A/0/Malaysiatotalplan.pdf

      [9] W. Raghupathi, & V. Raghupathi, “Big data analytics in healthcare: promise and potentialâ€, Health information science and systems, 2(1), 3, 2014.

      [10] O. Parkash, and R. Shueb, “Diagnosis of dengue infection using conventional and biosensor based techniques,†Viruses, 7(10), 5410-5427, 2015.

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  • How to Cite

    Sarlan, A., Muhammad Afiq SyedMuhammad Azhan, S., Ahmad, R., Fatimah Wan Ahmad, W., & Hussain, A. (2018). Aedes Breeding Habitat Localization System. International Journal of Engineering & Technology, 7(4.19), 45-49. https://doi.org/10.14419/ijet.v7i4.19.22012