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Prioritization of Economically Important Cattle Diseases Using Participatory Epidemiology Tools in Lalibela, Sekota, and Ziquala Districts of Amhara Region, Northern Ethiopia

Ethiopia's livestock resource is one of the largest globally. It is estimated at around 59.5 million cattle, about 30.5 million sheep, and 30.2 million goats. The sector is irreplaceable in the means of livelihood of the population as a source of meat, milk, drought power, and income. Yet, the...

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Autores principales: Bahiru, Adane, Assefa, Ayalew
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7068136/
https://www.ncbi.nlm.nih.gov/pubmed/32190282
http://dx.doi.org/10.1155/2020/5439836
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author Bahiru, Adane
Assefa, Ayalew
author_facet Bahiru, Adane
Assefa, Ayalew
author_sort Bahiru, Adane
collection PubMed
description Ethiopia's livestock resource is one of the largest globally. It is estimated at around 59.5 million cattle, about 30.5 million sheep, and 30.2 million goats. The sector is irreplaceable in the means of livelihood of the population as a source of meat, milk, drought power, and income. Yet, the country is unable to exploit the sector entirely because of highly prevalent infectious diseases and lack of appropriate disease control policy. These constraints are worse in districts of Lalibela, Sekota, and Ziquala, where this specific study was carried out. Despite the availability of scanty animal health services in these areas, information on animal health, especially cattle, was never a significant focus of research. This study was conducted with the objectives of identifying and prioritizing primary cattle disease with the aid of participatory epidemiology tools. Focus group discussions (FGD) and questionnaires were used in prioritizing the top economically important cattle diseases of the selected areas. Accordingly, the result of FGD indicated that ectoparasites, CBPP, FMD, blackleg, bloody diarrhea, and pasteurellosis were the major diseases affecting cattle production in the area. These areas can be representative of most of the countries where a mixed farming system is practiced. Therefore, this result can be used as a basis for broader planning of prevention and control strategies for these kinds of diseases. However, a laboratory-supported extensive investigation of these diseases is highly recommended to validate findings of such types of prioritization of diseases.
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spelling pubmed-70681362020-03-18 Prioritization of Economically Important Cattle Diseases Using Participatory Epidemiology Tools in Lalibela, Sekota, and Ziquala Districts of Amhara Region, Northern Ethiopia Bahiru, Adane Assefa, Ayalew Vet Med Int Research Article Ethiopia's livestock resource is one of the largest globally. It is estimated at around 59.5 million cattle, about 30.5 million sheep, and 30.2 million goats. The sector is irreplaceable in the means of livelihood of the population as a source of meat, milk, drought power, and income. Yet, the country is unable to exploit the sector entirely because of highly prevalent infectious diseases and lack of appropriate disease control policy. These constraints are worse in districts of Lalibela, Sekota, and Ziquala, where this specific study was carried out. Despite the availability of scanty animal health services in these areas, information on animal health, especially cattle, was never a significant focus of research. This study was conducted with the objectives of identifying and prioritizing primary cattle disease with the aid of participatory epidemiology tools. Focus group discussions (FGD) and questionnaires were used in prioritizing the top economically important cattle diseases of the selected areas. Accordingly, the result of FGD indicated that ectoparasites, CBPP, FMD, blackleg, bloody diarrhea, and pasteurellosis were the major diseases affecting cattle production in the area. These areas can be representative of most of the countries where a mixed farming system is practiced. Therefore, this result can be used as a basis for broader planning of prevention and control strategies for these kinds of diseases. However, a laboratory-supported extensive investigation of these diseases is highly recommended to validate findings of such types of prioritization of diseases. Hindawi 2020-03-01 /pmc/articles/PMC7068136/ /pubmed/32190282 http://dx.doi.org/10.1155/2020/5439836 Text en Copyright © 2020 Adane Bahiru and Ayalew Assefa. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Bahiru, Adane
Assefa, Ayalew
Prioritization of Economically Important Cattle Diseases Using Participatory Epidemiology Tools in Lalibela, Sekota, and Ziquala Districts of Amhara Region, Northern Ethiopia
title Prioritization of Economically Important Cattle Diseases Using Participatory Epidemiology Tools in Lalibela, Sekota, and Ziquala Districts of Amhara Region, Northern Ethiopia
title_full Prioritization of Economically Important Cattle Diseases Using Participatory Epidemiology Tools in Lalibela, Sekota, and Ziquala Districts of Amhara Region, Northern Ethiopia
title_fullStr Prioritization of Economically Important Cattle Diseases Using Participatory Epidemiology Tools in Lalibela, Sekota, and Ziquala Districts of Amhara Region, Northern Ethiopia
title_full_unstemmed Prioritization of Economically Important Cattle Diseases Using Participatory Epidemiology Tools in Lalibela, Sekota, and Ziquala Districts of Amhara Region, Northern Ethiopia
title_short Prioritization of Economically Important Cattle Diseases Using Participatory Epidemiology Tools in Lalibela, Sekota, and Ziquala Districts of Amhara Region, Northern Ethiopia
title_sort prioritization of economically important cattle diseases using participatory epidemiology tools in lalibela, sekota, and ziquala districts of amhara region, northern ethiopia
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7068136/
https://www.ncbi.nlm.nih.gov/pubmed/32190282
http://dx.doi.org/10.1155/2020/5439836
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