ArticleTropical animal health and production2021
The contribution of extensive chicken production systems and practices to Newcastle disease outbreaks in Kenya.
Article in Tropical animal health and production, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
5 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Access to veterinary care: evaluating working definitions, barriers, and implications for animal welfare.Frontiers in veterinary science · 2024Pooled it
- Molecular characterization and genotyping of Newcastle disease viruses using whole-genome sequencing from poultry farms in parts of Amhara Regions, and central Ethiopia.Virology journal · 2025Article
- Access to veterinary care in Canada: a cross-sectional survey of animal healthcare organizations and interventions.Frontiers in veterinary science · 2025Article
- Characterization of the dominant strain (G-VII) of Newcastle disease viruses isolated from commercial chickens in Bangladesh during recent outbreaks.Journal of advanced veterinary and animal research · 2024Article
- Transboundary Animal Diseases, an Overview of 17 Diseases with Potential for Global Spread and Serious Consequences.Animals : an open access journal from MDPI · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Newcastle disease (ND) poses a challenge especially for farmers rearing indigenous chicken under the extensive system. This is due to the lack of uniformity in practices, favoring the introduction and spread of the disease. This is worsened by the lack of information on how management practices contribute to the spread of ND. The current study assessed the role of extensive chicken production systems and management practices on the frequency of ND outbreaks in Kenya using a Poisson regression model (PRM) on primary survey data from 332 farmers in Kakamega and Machakos counties. Descriptive results showed a low access to institutional support services like extension, training, credit, and vaccination services for both male and female farmers. Results from the PRM analysis show that flock size, isolated and confined housing, multi-aged flock mixture, screening of birds, access to ND vaccination, ND awareness, distance to agro-veterinary service providers, and access to animal health training and extension services had significant effects on the frequency of ND outbreaks. The findings underscore the need for innovative extension approaches that facilitate the use of information communication technologies to create more awareness on disease detection and mitigation measures. Use of farmer groups as innovation platforms for enhanced skill sharing and as key peer monitoring channels would also improve compliance with prescribed disease control methods. Further, there is a need for partnerships between local-level county governments, vaccine producers, and agro-veterinary service providers to ensure the development of low-cost vaccines and requisite storage facilities, and their timely delivery to the male and female resource-poor smallholder extensive chicken farmers.
Indexed as
Identifiers
33587207What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.