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Mapping of beef, sheep and goat food systems in Nairobi - A framework for policy making and the identification of structural vulnerabilities and deficiencies.
Alarcon, Pablo; Fèvre, Eric M; Murungi, Maurice K; Muinde, Patrick; Akoko, James; Dominguez-Salas, Paula; Kiambi, Stella; Ahmed, Sohel; Häsler, Barbara; Rushton, Jonathan.
Affiliation
  • Alarcon P; Royal Veterinary College, London, United Kingdom; International Livestock Research Institute, Nairobi, Kenya; Leverhulme Centre for Integrated Research in Agriculture and Health, London, United Kingdom.
  • Fèvre EM; International Livestock Research Institute, Nairobi, Kenya; Institute for Infection and Global Health, University of Liverpool, Liverpool, United Kingdom.
  • Murungi MK; International Livestock Research Institute, Nairobi, Kenya.
  • Muinde P; International Livestock Research Institute, Nairobi, Kenya.
  • Akoko J; International Livestock Research Institute, Nairobi, Kenya.
  • Dominguez-Salas P; Royal Veterinary College, London, United Kingdom; International Livestock Research Institute, Nairobi, Kenya; Leverhulme Centre for Integrated Research in Agriculture and Health, London, United Kingdom.
  • Kiambi S; International Livestock Research Institute, Nairobi, Kenya; University of Nairobi, Nairobi, Kenya.
  • Ahmed S; University College London, London, United Kingdom.
  • Häsler B; Royal Veterinary College, London, United Kingdom; Leverhulme Centre for Integrated Research in Agriculture and Health, London, United Kingdom.
  • Rushton J; Royal Veterinary College, London, United Kingdom; Leverhulme Centre for Integrated Research in Agriculture and Health, London, United Kingdom.
Agric Syst ; 152: 1-17, 2017 Mar.
Article in En | MEDLINE | ID: mdl-28260829
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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Diagnostic_studies / Prognostic_studies / Qualitative_research Language: En Journal: Agric Syst Year: 2017 Type: Article Affiliation country: United kingdom
Fulltext
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Diagnostic_studies / Prognostic_studies / Qualitative_research Language: En Journal: Agric Syst Year: 2017 Type: Article Affiliation country: United kingdom