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An Online Poultry Diseases Monitoring System for Nigeria

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

Poultry disease statistics in Nigeria reveal a serious and growing problem with absolute fatality rate and casualty figure rising rapidly. A crucial goal of infectious disease surveillance is the early detection of epidemics, which is essential for disease control. The current system for monitoring poultry disease is based on conventional method using extension workers and confirmed case reports which has proved ineffective over the years. The poultry disease monitoring system aimed at assisting poultry farmers, healthcare officers and stakeholders alike to understand the distribution of poultry diseases and the state of poultry farms in Nigeria in order to ensure early detection and response during an outbreak. The system requirement was elicited from poultry farmers located within the south-western part of Nigeria using interviews while the requirements were designed using use-case diagrams for the representing data insertion and data query. The system was implemented using HTML, PHP and CSS while the database was implemented using MYSQL. In conclusion, the use of monitoring system would be of great importance in providing accurate, timely and detailed information about poultry disease in Nigeria. It will also help to alert disease control agencies about poultry related diseases in Nigeria.

Published in American Journal of Software Engineering and Applications (Volume 6, Issue 2)
DOI 10.11648/j.ajsea.20170602.12
Page(s) 18-28
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

Poultry Disease, Monitoring System, Use-Case Modeling, Web 2.0, Software

References
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[6] Sa’idu, L., et al., Retrospective study of Newcastle disease cases in Zaria, Nigeria. Nigerian Veterinary Journal, 2006. 27 (3): p. 53-62.
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[17] Grein, T. W., et al., Rumors of disease in the global village: outbreak verification. Emerging infectious diseases, 2000. 6 (2): p. 97.
[18] Heymann, D. L. and G. R. Rodier, Hot spots in a wired world: WHO surveillance of emerging and re-emerging infectious diseases. The Lancet infectious diseases, 2001. 1 (5): p. 345-353.
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Cite This Article
  • APA Style

    Moses Oyekunle Oyetunji, Florence Alaba Oladeji, Olorunjube James Falana, Peter Adebayo Idowu. (2017). An Online Poultry Diseases Monitoring System for Nigeria. American Journal of Software Engineering and Applications, 6(2), 18-28. https://doi.org/10.11648/j.ajsea.20170602.12

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    ACS Style

    Moses Oyekunle Oyetunji; Florence Alaba Oladeji; Olorunjube James Falana; Peter Adebayo Idowu. An Online Poultry Diseases Monitoring System for Nigeria. Am. J. Softw. Eng. Appl. 2017, 6(2), 18-28. doi: 10.11648/j.ajsea.20170602.12

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    AMA Style

    Moses Oyekunle Oyetunji, Florence Alaba Oladeji, Olorunjube James Falana, Peter Adebayo Idowu. An Online Poultry Diseases Monitoring System for Nigeria. Am J Softw Eng Appl. 2017;6(2):18-28. doi: 10.11648/j.ajsea.20170602.12

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  • @article{10.11648/j.ajsea.20170602.12,
      author = {Moses Oyekunle Oyetunji and Florence Alaba Oladeji and Olorunjube James Falana and Peter Adebayo Idowu},
      title = {An Online Poultry Diseases Monitoring System for Nigeria},
      journal = {American Journal of Software Engineering and Applications},
      volume = {6},
      number = {2},
      pages = {18-28},
      doi = {10.11648/j.ajsea.20170602.12},
      url = {https://doi.org/10.11648/j.ajsea.20170602.12},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajsea.20170602.12},
      abstract = {Poultry disease statistics in Nigeria reveal a serious and growing problem with absolute fatality rate and casualty figure rising rapidly. A crucial goal of infectious disease surveillance is the early detection of epidemics, which is essential for disease control. The current system for monitoring poultry disease is based on conventional method using extension workers and confirmed case reports which has proved ineffective over the years. The poultry disease monitoring system aimed at assisting poultry farmers, healthcare officers and stakeholders alike to understand the distribution of poultry diseases and the state of poultry farms in Nigeria in order to ensure early detection and response during an outbreak. The system requirement was elicited from poultry farmers located within the south-western part of Nigeria using interviews while the requirements were designed using use-case diagrams for the representing data insertion and data query. The system was implemented using HTML, PHP and CSS while the database was implemented using MYSQL. In conclusion, the use of monitoring system would be of great importance in providing accurate, timely and detailed information about poultry disease in Nigeria. It will also help to alert disease control agencies about poultry related diseases in Nigeria.},
     year = {2017}
    }
    

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  • TY  - JOUR
    T1  - An Online Poultry Diseases Monitoring System for Nigeria
    AU  - Moses Oyekunle Oyetunji
    AU  - Florence Alaba Oladeji
    AU  - Olorunjube James Falana
    AU  - Peter Adebayo Idowu
    Y1  - 2017/04/24
    PY  - 2017
    N1  - https://doi.org/10.11648/j.ajsea.20170602.12
    DO  - 10.11648/j.ajsea.20170602.12
    T2  - American Journal of Software Engineering and Applications
    JF  - American Journal of Software Engineering and Applications
    JO  - American Journal of Software Engineering and Applications
    SP  - 18
    EP  - 28
    PB  - Science Publishing Group
    SN  - 2327-249X
    UR  - https://doi.org/10.11648/j.ajsea.20170602.12
    AB  - Poultry disease statistics in Nigeria reveal a serious and growing problem with absolute fatality rate and casualty figure rising rapidly. A crucial goal of infectious disease surveillance is the early detection of epidemics, which is essential for disease control. The current system for monitoring poultry disease is based on conventional method using extension workers and confirmed case reports which has proved ineffective over the years. The poultry disease monitoring system aimed at assisting poultry farmers, healthcare officers and stakeholders alike to understand the distribution of poultry diseases and the state of poultry farms in Nigeria in order to ensure early detection and response during an outbreak. The system requirement was elicited from poultry farmers located within the south-western part of Nigeria using interviews while the requirements were designed using use-case diagrams for the representing data insertion and data query. The system was implemented using HTML, PHP and CSS while the database was implemented using MYSQL. In conclusion, the use of monitoring system would be of great importance in providing accurate, timely and detailed information about poultry disease in Nigeria. It will also help to alert disease control agencies about poultry related diseases in Nigeria.
    VL  - 6
    IS  - 2
    ER  - 

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

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

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

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

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