The role of syndromic knowledge in Ethiopian veterinarians' treatment of cattle.

animal health services biosecurity practices cattle diseases dairy cattle disease surveillance herd health management one health zoonoses

Journal

Frontiers in veterinary science
ISSN: 2297-1769
Titre abrégé: Front Vet Sci
Pays: Switzerland
ID NLM: 101666658

Informations de publication

Date de publication:
2024
Historique:
received: 03 01 2024
accepted: 15 08 2024
medline: 17 9 2024
pubmed: 17 9 2024
entrez: 16 9 2024
Statut: epublish

Résumé

Veterinarians play a significant role in the treatment and prevention of livestock diseases at the farm level, safeguarding public health and ensuring food safety. In sub-Saharan Africa, access to quality veterinary services is a major challenge for livestock farmers due to the low number of publicly employed veterinarians, underfunding and privatisation of veterinary services. Low investment in veterinary services and infrastructure, including a lack of laboratories for diagnosis, has made veterinarians rely on their experience and knowledge of cattle disease symptoms developed over years of practice to diagnose and treat cattle diseases. A cross-sectional survey using a role-play approach was used to collect data on knowledge regarding cattle diseases among veterinarians in veterinary clinics and private practices in Addis Ababa, Oromia and Adama regions in Ethiopia. Veterinarians were given a number of disease scenarios based on "fictive disease symptoms" that are commonly manifested in a sick cow and asked to identify the disease what personal biosecurity they would use, diagnostic tests they would perform, treatments they would prescribe, treatment costs, and additional services and inputs they would recommend to the farmer. The results show that veterinarians could identify endemic cattle diseases through symptoms. The majority of veterinarians did not find it important to report notifiable diseases, a behaviour which could hamper disease surveillance and outbreak response. The advice and services the veterinarians said they would offer and recommend to farmers included improvement in feeding, vaccination, use of artificial insemination, and adoption of farm biosecurity measures that can reduce disease prevalence, and improve food safety, animal health and welfare. Low use of personal protective equipment and other protective biosecurity measures among veterinarians could expose them to zoonotic diseases. The study concludes that there is a need for increased funding for continuous training, improved access to animal health-related information, and investment in infrastructure such as laboratories to enable veterinarians to deliver quality animal health services.

Identifiants

pubmed: 39280834
doi: 10.3389/fvets.2024.1364963
pmc: PMC11392921
doi:

Types de publication

Journal Article

Langues

eng

Pagination

1364963

Informations de copyright

Copyright © 2024 Nyokabi, Wood, Gemechu, Berg, Mihret, Lindahl and Moore.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Auteurs

Ndungu S Nyokabi (NS)

Institute for Global Prosperity, University College London, London, United Kingdom.
University of Edinburgh Business School, Edinburgh, United Kingdom.

James L N Wood (JLN)

Department of Veterinary Medicine, University of Cambridge, Cambridge, United Kingdom.

Gizachew Gemechu (G)

Armauer Hansen Research Institute, Addis Ababa, Ethiopia.

Stefan Berg (S)

Bernhard Nocht Institute for Tropical Medicine, Hamburg, Germany.

Adane Mihret (A)

Armauer Hansen Research Institute, Addis Ababa, Ethiopia.

Johanna F Lindahl (JF)

International Livestock Research Institute (ILRI), Nairobi, Kenya.
Department of Medical Biochemistry and Microbiology, Uppsala University, Uppsala, Sweden.
Department of Clinical Sciences, Swedish University of Agricultural Sciences, Uppsala, Sweden.

Henrietta L Moore (HL)

Institute for Global Prosperity, University College London, London, United Kingdom.

Classifications MeSH