Literature DB >> 26002998

Understanding the poultry trade network in Kenya: Implications for regional disease prevention and control.

Margaret McCarron1, Peninah Munyua2, Po-Yung Cheng3, Thomas Manga4, Cathryn Wanjohi4, Ann Moen5, Anthony Mounts5, Mark A Katz6.   

Abstract

Infectious diseases in poultry can spread quickly and lead to huge economic losses. In the past decade, on multiple continents, the accelerated spread of highly pathogenic avian Influenza A (H5N1) virus, often through informal trade networks, has led to the death and culling of hundreds of millions of poultry. Endemic poultry diseases like Newcastle disease and fowl typhoid can also be devastating in many parts of the world. Understanding trade networks in unregulated systems can inform policy decisions concerning disease prevention and containment. From June to December 2008 we conducted a cross-sectional survey of backyard farmers, market traders, and middlemen in 5/8 provinces in Kenya. We administered a standardized questionnaire to each type of actor using convenience, random, snowball, and systematic sampling. Questionnaires addressed frequency, volume, and geography of trade, as well as biosecurity practices. We created a network diagram identifying the most important locations for trade. Of 380 respondents, 51% were backyard farmers, 24% were middlemen and 25% were market traders. Half (50%) of backyard farmers said they raised poultry both for household consumption and for sale. Compared to market traders, middlemen bought their poultry from a greater number of villages (median 4.2 villages for middlemen vs. 1.9 for market traders). Traders were most likely to purchase poultry from backyard farmers. Of the backyard farmers who sold poultry, 51% [CI 40-63] reported selling poultry to market traders, and 54% [CI 44-63] sold to middlemen. Middlemen moved the largest volume of poultry on a weekly basis (median purchases: 187 birds/week [IQR 206]; median sales: 188 birds/week [IQR 412.5]). The highest numbers of birds were traded in Nairobi - Kenya's capital city. Nairobi was the most prominent trading node in the network (61 degrees of centrality). Many smaller sub-networks existed as a result of clustered local trade. Market traders were also integral to the network. The informal poultry trade in Kenya is dependent on the sale of backyard poultry to middlemen and market traders. These two actors play a critical role in poultry movement in Kenya; during any type of disease outbreak middlemen should be targeted for control- and containment-related interventions. Published by Elsevier B.V.

Entities:  

Keywords:  Disease control; Disease prevention; Kenya; Poultry; Social network analysis; Trade

Mesh:

Year:  2015        PMID: 26002998     DOI: 10.1016/j.prevetmed.2015.03.021

Source DB:  PubMed          Journal:  Prev Vet Med        ISSN: 0167-5877            Impact factor:   2.670


  6 in total

1.  The broiler meat system in Nairobi, Kenya: Using a value chain framework to understand animal and product flows, governance and sanitary risks.

Authors:  Maud Carron; Pablo Alarcon; Maurice Karani; Patrick Muinde; James Akoko; Joshua Onono; Eric M Fèvre; Barbara Häsler; Jonathan Rushton
Journal:  Prev Vet Med       Date:  2017-08-26       Impact factor: 2.670

2.  Molecular Characterization of Newcastle Disease Virus from Backyard Poultry Farms and Live Bird Markets in Kenya.

Authors:  Irene N Ogali; Lucy W Wamuyu; Jacqueline K Lichoti; Erick O Mungube; Bernard Agwanda; Sheila C Ommeh
Journal:  Int J Microbiol       Date:  2018-08-05

3.  Identification of production challenges and benefits using value chain mapping of egg food systems in Nairobi, Kenya.

Authors:  Joshua Orungo Onono; Pablo Alarcon; Maurice Karani; Patrick Muinde; James Miser Akoko; Carron Maud; Eric M Fevre; Barbara Häsler; Jonathan Rushton
Journal:  Agric Syst       Date:  2018-01       Impact factor: 5.370

4.  A cross-sectional survey of practices and knowledge among antibiotic retailers in Nairobi, Kenya.

Authors:  Dishon Muloi; Eric M Fèvre; Judy Bettridge; Robert Rono; Daniel Ong'are; James M Hassell; Maurice K Karani; Patrick Muinde; Bram van Bunnik; Alice Street; Margo Chase-Topping; Amy B Pedersen; Melissa J Ward; Mark Woolhouse
Journal:  J Glob Health       Date:  2019-12       Impact factor: 4.413

5.  Spatio-temporal patterns and movement analysis of pigs from smallholder farms and implications for African swine fever spread, Limpopo province, South Africa.

Authors:  Folorunso O Fasina; Japhta M Mokoele; B Tom Spencer; Leo A M L Van Leengoed; Yvette Bevis; Ingrid Booysen
Journal:  Onderstepoort J Vet Res       Date:  2015-11-27       Impact factor: 1.792

6.  Knowledge and remaining gaps on the role of animal and human movements in the poultry production and trade networks in the global spread of avian influenza viruses - A scoping review.

Authors:  Claire Hautefeuille; Gwenaëlle Dauphin; Marisa Peyre
Journal:  PLoS One       Date:  2020-03-20       Impact factor: 3.240

  6 in total

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