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Web-Based Surveillance System for Periodontal Disease for Nigeria

Received: 21 March 2017    Accepted: 31 March 2017    Published: 24 April 2017
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Abstract

Periodontal disease is a common inflammatory condition which affects the supporting and surrounding soft tissues of the tooth; also the jawbone itself when in its most advanced stages, in its early stage called Gingivitis and later stage called Periodontitis. This paper developed an online population based periodontal disease surveillance system that allows for easy access to statistics of periodontal occurrence on real-time basis. The system was implemented using HTML, PHP and CSS while the database was implemented using MYSQL. The simple interface design proved to be user-friendly for all users that handled the system. The system will also go a long in solving the problem of poor health care system for periodontal patients as access to information and statistics of periodontal occurrence is made real-time.

Published in Software Engineering (Volume 5, Issue 2)
DOI 10.11648/j.se.20170502.11
Page(s) 26-37
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Disease Surveillance, Periodontal Disease, Web 2.0, Use-Case Modeling

References
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[3] Tomar, S. L., Public health perspectives on surveillance for periodontal diseases. Journal of periodontology, 2007. 78 (7S): p. 1380-1386.
[4] Petersen, P. E. and P. C. Baehni, Periodontal health and global public health. Periodontology 2000, 2012. 60 (1): p. 7-14.
[5] Petersen, P. E. and H. Ogawa, The global burden of periodontal disease: towards integration with chronic disease prevention and control. Periodontology 2000, 2012. 60 (1): p. 15-39.
[6] Savage, A., et al., A systematic review of definitions of periodontitis and methods that have been used to identify this disease. Journal of clinical periodontology, 2009. 36 (6): p. 458-467.
[7] Dye, B. A. and G. Thornton-Evans, A brief history of national surveillance efforts for periodontal disease in the United States. Journal of periodontology, 2007. 78 (7S): p. 1373-1379.
[8] Genco, R. J., et al., Validity of self-reported measures for surveillance of periodontal disease in two western New York population-based studies. Journal of periodontology, 2007. 78 (7S): p. 1439-1454.
[9] Lyon, D., Surveillance studies: An overview. 2007: Polity.
[10] Idowu, A. P., E. R. Adagunodo, and O. A. Esimai, Development of a web based environmental health tracking system for Nigeria. International Journal of Information Technology and Computer Science (IJITCS), 2012. 4 (7): p. 61.
[11] Chretien, K., E. Goldman, and C. Faselis, The reflective writing class blog: using technology to promote reflection and professional development. Journal of general internal medicine, 2008. 23 (12): p. 2066-2070.
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[13] Adams, M. B., Land application of hydrofracturing fluids damages a deciduous forest stand in West Virginia. Journal of Environmental Quality, 2011. 40 (4): p. 1340-1344.
[14] Nelson, S. J., Wheeler's dental anatomy, physiology and occlusion. 2014: Elsevier Health Sciences.
[15] Cram, A., et al., Challenges of developing palatable oral paediatric formulations. International journal of pharmaceutics, 2009. 365 (1): p. 1-3.
[16] Paolotti, D., et al., Web‐based participatory surveillance of infectious diseases: the Influenzanet participatory surveillance experience. Clinical Microbiology and Infection, 2014. 20 (1): p. 17-21.
[17] Alexander, R. and M. Alexander, An ICT-Based Real-Time Surveillance System for Controlling Dengue in Sri Lanka. arXiv preprint arXiv: 1405.4092, 2014.
[18] Beltrán‐Aguilar, E. D., et al., Recording and surveillance systems for periodontal diseases. Periodontology 2000, 2012. 60 (1): p. 40-53.
Cite This Article
  • APA Style

    Peter Adebayo Idowu, Moses Oyekunle Oyetunji, Florence Alaba Oladeji, Jeremiah Ademola Balogun. (2017). Web-Based Surveillance System for Periodontal Disease for Nigeria. Software Engineering, 5(2), 26-37. https://doi.org/10.11648/j.se.20170502.11

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    ACS Style

    Peter Adebayo Idowu; Moses Oyekunle Oyetunji; Florence Alaba Oladeji; Jeremiah Ademola Balogun. Web-Based Surveillance System for Periodontal Disease for Nigeria. Softw. Eng. 2017, 5(2), 26-37. doi: 10.11648/j.se.20170502.11

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    AMA Style

    Peter Adebayo Idowu, Moses Oyekunle Oyetunji, Florence Alaba Oladeji, Jeremiah Ademola Balogun. Web-Based Surveillance System for Periodontal Disease for Nigeria. Softw Eng. 2017;5(2):26-37. doi: 10.11648/j.se.20170502.11

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  • @article{10.11648/j.se.20170502.11,
      author = {Peter Adebayo Idowu and Moses Oyekunle Oyetunji and Florence Alaba Oladeji and Jeremiah Ademola Balogun},
      title = {Web-Based Surveillance System for Periodontal Disease for Nigeria},
      journal = {Software Engineering},
      volume = {5},
      number = {2},
      pages = {26-37},
      doi = {10.11648/j.se.20170502.11},
      url = {https://doi.org/10.11648/j.se.20170502.11},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.se.20170502.11},
      abstract = {Periodontal disease is a common inflammatory condition which affects the supporting and surrounding soft tissues of the tooth; also the jawbone itself when in its most advanced stages, in its early stage called Gingivitis and later stage called Periodontitis. This paper developed an online population based periodontal disease surveillance system that allows for easy access to statistics of periodontal occurrence on real-time basis. The system was implemented using HTML, PHP and CSS while the database was implemented using MYSQL. The simple interface design proved to be user-friendly for all users that handled the system. The system will also go a long in solving the problem of poor health care system for periodontal patients as access to information and statistics of periodontal occurrence is made real-time.},
     year = {2017}
    }
    

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  • TY  - JOUR
    T1  - Web-Based Surveillance System for Periodontal Disease for Nigeria
    AU  - Peter Adebayo Idowu
    AU  - Moses Oyekunle Oyetunji
    AU  - Florence Alaba Oladeji
    AU  - Jeremiah Ademola Balogun
    Y1  - 2017/04/24
    PY  - 2017
    N1  - https://doi.org/10.11648/j.se.20170502.11
    DO  - 10.11648/j.se.20170502.11
    T2  - Software Engineering
    JF  - Software Engineering
    JO  - Software Engineering
    SP  - 26
    EP  - 37
    PB  - Science Publishing Group
    SN  - 2376-8037
    UR  - https://doi.org/10.11648/j.se.20170502.11
    AB  - Periodontal disease is a common inflammatory condition which affects the supporting and surrounding soft tissues of the tooth; also the jawbone itself when in its most advanced stages, in its early stage called Gingivitis and later stage called Periodontitis. This paper developed an online population based periodontal disease surveillance system that allows for easy access to statistics of periodontal occurrence on real-time basis. The system was implemented using HTML, PHP and CSS while the database was implemented using MYSQL. The simple interface design proved to be user-friendly for all users that handled the system. The system will also go a long in solving the problem of poor health care system for periodontal patients as access to information and statistics of periodontal occurrence is made real-time.
    VL  - 5
    IS  - 2
    ER  - 

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Author Information
  • Department of Computer Science and Engineering, Obafemi Awolowo University, Ile-Ife, Nigeria

  • Department of Computer Science and Mathematics, Mountain Top University, Ibafo, Nigeria

  • Department of Computer Science, University of Lagos, Lagos, Nigeria

  • Department of Computer Science and Engineering, Obafemi Awolowo University, Ile-Ife, Nigeria

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