American Journal of Software Engineering and Applications
Volume 6, Issue 2, April 2017, Pages: 18-28
Received: Mar. 21, 2017;
Accepted: Mar. 31, 2017;
Published: Apr. 24, 2017
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Moses Oyekunle Oyetunji, Department of Computer Science and Mathematics, Mountain Top University, Ibafo, Nigeria
Florence Alaba Oladeji, Department of Computer Science, University of Lagos, Akoka, Lagos, Nigeria
Olorunjube James Falana, Department of Computer Science and Mathematics, Mountain Top University, Ibafo, Nigeria
Peter Adebayo Idowu, Department of Computer Science and Engineering, Obafemi Awolowo University, Ile-Ife, Nigeria
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.
Moses Oyekunle Oyetunji,
Florence Alaba Oladeji,
Olorunjube James Falana,
Peter Adebayo Idowu,
An Online Poultry Diseases Monitoring System for Nigeria, American Journal of Software Engineering and Applications.
Vol. 6, No. 2,
2017, pp. 18-28.
Kamani, J., et al., Tetrameres fissispina Infection in Local Chickens in Taraba State, Nigeria, Case Report. International Journal of Poultry Science, 2008. 7 (12): p. 1216-1218.
Iqbal, S. and Z. Pampori, Production potential and qualitative traits of indigenous chicken of Kashmir. Livestock Research for Rural Development, 2008. 20 (11): p. 14.
Bawa, G., et al., Farmers' perception of the avian influenza (birdflu) epidemic in some parts of Northern Nigeria. American-Eurasian Journal of Scientific Research, 2010. 5 (3): p. 170-175.
Anjum, A., S. Hassan, and G. Arbi, Infectious bursal disease in chickens in Pakistan. Pakistan Veterinary Journal, 1993. 13: p. 54-54.
Lambert, C. and A. Kabar, Egg drop syndrome (EDS 76) in New Caledonia, first diagnosis and control. Revue d'Élevage et de Médecine Vétérinaire de Nouvelle Calédonie, 1994 (18): p. 7-14.
Sa’idu, L., et al., Retrospective study of Newcastle disease cases in Zaria, Nigeria. Nigerian Veterinary Journal, 2006. 27 (3): p. 53-62.
Kraneveld, F., A poultry disease in the Dutch East Indies. Ned Indisch Bl Diergeneeskd, 1926. 38: p. 448-450.
Babalobi, O. O., The challenge of changing trends in the development and use of information and internet web communication technologies for veterinary medicine education in Nigeria. 2010.
Simoes, J., Information communication technology applied to veterinary education in early XXI century. Veterinaria. com. pt. 2010; 3 (1): 1–29.
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.
Chretien, J.-P., et al., Syndromic surveillance: adapting innovations to developing settings. PLoS Med, 2008. 5 (3): p. e72.
Mykhalovskiy, E. and L. Weir, The Global Public Health Intelligence Network and early warning outbreak detection: a Canadian contribution to global public health. Canadian Journal of Public Health/Revue Canadienne de Sante'e Publique, 2006: p. 42-44.
Yang, C., et al., Use of mobile phones in an emergency reporting system for infectious disease surveillance after the Sichuan earthquake in China. Bulletin of the World Health Organization, 2009. 87 (8): p. 619-623.
Buehler, J. W., et al., Syndromic surveillance and bioterrorism-related epidemics. Emerging infectious diseases, 2003. 9 (10): p. 1197-1204.
Sugawara, T., et al., An experimental study for syndromic surveillance using OTC sales. Kansenshogaku zasshi. The Journal of the Japanese Association for Infectious Diseases, 2007. 81 (3): p. 235-241.
Babalobi, O. and P. Cowen. PROMED–mail: An electronic mail disease-reporting forum. in Proceedings of the 38th National Congress of the Nigerian Veterinary Medical Association (NVMA), Topo, Badagry, Lagos. 2001.
Grein, T. W., et al., Rumors of disease in the global village: outbreak verification. Emerging infectious diseases, 2000. 6 (2): p. 97.
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.
Wilson, K., B. von Tigerstrom, and C. McDougall, Protecting global health security through the International Health Regulations: requirements and challenges. Canadian Medical Association Journal, 2008. 179 (1): p. 44-48.
Woodall, J. P., Global surveillance of emerging diseases: the ProMED-mail perspective. Cadernos de Saúde Pública, 2001. 17: p. S147-S154.
Brownstein, J. S., et al., Surveillance Sans Frontieres: Internet-based emerging infectious disease intelligence and the HealthMap project. PLoS Med, 2008. 5 (7): p. e151.
Collier, N., et al., BioCaster: detecting public health rumors with a Web-based text mining system. Bioinformatics, 2008. 24 (24): p. 2940-2941.
Martindah, E., N. Ilham, and E. Basuno, Biosecurity level of poultry production cluster (PPC) in West Java, Indonesia. International Journal of Poultry Science, 2014. 13 (7): p. 408-415.