Knowledge and Cases Used for the Diagnosis and Treatment of Foot-Mouth-Cattle Diseases in Jimma Zone of Ethiopia

Authors

  • Lawrence Abraham Gojeh Department of Information Science, College of Computing and Informatics, Haramaya University, Ethiopia
  • Mesfin Alemu Jimma Institute of Technology, Jimma, Ethiopia
  • Seifu Neda Department of Statistics, College of Computing and Informatics, Haramaya University, Ethiopia

DOI:

https://doi.org/10.53555/cse.v7i12.1902

Abstract

Foot-Mouth-Cattle Disease is one of the most serious livestock diseases that the virus is highly contagious, which affects cloven-hoofed animals (those with divided hoofs), including cattle, buffalo, camels, sheep, goats, deer and pigs. It deeply affects the productivity, losses of livestock, causing hardships for farmers and ranchers, disrupting regional and international trade in animals. The objective of this study assessed the knowledge and cases of foot-mouth-cattle diseases used by domain experts for the diagnosis and treatment of the disease at Seka Chokorsa and Shebe Sombo Weredas in the Jimma zone of Ethiopia. Acquiring of such previous knowledge and solved cases will go a long way to helping cattle rural farmers tackle or overcome the prevailing problems associated with the disease in the domain area through developing technological systems for the rural cattle farmers to diagnose and treat the disease. A cross-sectional survey research method was used to gather preliminary data through questionnaire, interview and observation schedules from domain experts that included Veterinary doctors, Development agents and Model rural cattle farmers. The data collected supported the researchers make inferences about the relationships of previous knowledge and cases diagnosed and treated of the disease in the study area. The study found that the domain experts had previous knowledge and cases of the viruses that transmits the foot-mouth-cattle diseases. The two categories of domain experts (Veterinary doctors and Development agents), identified serotypes viruses ‘A’ (25%); ‘C’ (12.5%) and ‘SAT-1, SAT-2 and SAT-3’ (37.5%) with ‘SAT-1, SAT-2 and SAT-3’ as the most prevalent. However, model rural farmers indicated the most affecting serotype virus as ‘A’ (50%) and 25% for ‘SAT-1, SAT-2 and SAT-3’ in the domain area. This finding should form a base for the development of a knowledge base system for the diagnosis and treatment of foot-mouth-cattle disease for the rural cattle farmers at Seka Chokorsa and Shebe Sombo Weredas in the Jimma zone of Ethiopia.

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References

Ayelet, G. Gelaye, E., Negussie, H. & Asmare, K. (2012). Study on the epidemiology of foot and mouth disease in Ethiopia. Rev. sci. tech. Off. int. Epiz., 31 (3), 789-798. DOI: 10.20506/rst.31.3.2153. https://www.researchgate.net/publication/236072627

Berhanu, Aslaku (2002). Book Review: Ethiopian Traditional Medicine: Common Medicinal Plants in

Perspective. https://doi.org/10.1177/002193470203200507

CSA (Central Statistical Authority), 2008. Statistical Abstract 2007. CSA, Addis Ababa, Ethiopia

Derah, N.1 & Mokopasetso, M. (2005). The control of Foot and Mouth Disease in Botswana and

Zimbabwe. Tropicultura special issue 2005

FAO EMPRES and EUFMD Commission Secretariat (2005). Foot-and-Mouth Disease Situation worldwide and major epidemiological events in 2005-2006

FAO/OIE. 2006. Report of the 3rd Roundtable on FMD control in the Middle-East and North Africa, held

Damascus, Syria, November 2006. http://www.fao.org/ag/againfo/commissions/en/eufmd/event/2006/

ReportFMDMENA.pdf

FAO/OIE (2012). – GLEWS: Global Early Warning System for Major Animal Diseases, including Zoonoses.

Available at: www.fao.org/docs/eims/upload//217837/agre_glews_en.pdf

Gelaye E, Beyene B, Ayelet G (2009). Foot and Mouth Disease virus serotypes identified in Ethiopia. Ethiop. Vet. J. 9(1): 75-80 Http://www.oie.int/en/home

Knight- Jones, T.J.D. & Rushton, J. (2013). The economic impact of foot and mouth disease-What are they, how big are they and where do they occur? Preventive Veterinary Medicine 112 (3-4), 161-173.

Mikkelsen,T., Alexandersen, S., Astrup, P., Champion, H. J., Donaldson,A. I., Dunkerley, F. N. (2003).

Investigation of airborne foot-and-mouth disease virus transmission during low-wind conditions in the early phase of the UK 2001 epidemic. Atmos. Chem. Phys., 3, 2101–2110, 2003 www.atmos-chem-phys.org/acp/3/2101/ © European Geosciences Union 2003

Ministry of Agriculture and Rural Development (MoARD) (2007) A comprehensive plan for supporting the meat export industry Part I, Addis Ababa, Ethiopia

OIE, (2000). World organization for animal health. Manual of standards for diagnostic tests and Vaccines.Office. International desEpizootics Paris. 77-86.

OIE or of FAO (2012). The global foot and mouth disease control strategy strengthening animal health

systems through improved control of major diseases 2012. http://dx.doi.org/10.1016/j.prevetmed.2013.07.013

Rushton, J, (2009). The economics of Animal Health and Production. CAB International,

oxforshine and Massachu setts, 193 – 197.

Sahle M (2004). An epidemiological study on the genetic relationships of foot and mouth disease viruses in East Africa. PhD Thesis Univer-sity of Pretoria, South Africa, Unpublished

Thomson G (1994). Foot and Mouth Disease. In: Infectious diseases of livestock with special reference to Southern Africa, edited by J.A.W. Coetzer, G.R. Thomson. Cape Town, London, New York: Oxford Uni-versity Press 825-992.

USDA’s Veterinary Services TARGET Center (2007). Foot-and-Mouth Disease. Washington,

.C: USDA.

Vosloo, W., Bastos, A.D.S., Sangare, O., Hargreaves, S.K. & Thomson, G.R. (2002). Review of the status and control of foot and mouth disease in sub-Saharan Africa. Revue scientifique et technique de l’Office international desepizooties 21, 437-449.

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Published

2021-12-31

How to Cite

Gojeh, L. A. ., Alemu, M., & Neda, S. (2021). Knowledge and Cases Used for the Diagnosis and Treatment of Foot-Mouth-Cattle Diseases in Jimma Zone of Ethiopia. International Journal For Research In Advanced Computer Science And Engineering, 7(12), 01–14. https://doi.org/10.53555/cse.v7i12.1902