The socioeconomic dimensions of farming systems and rural farmer households in the context of food security: New generation vaccine programme 2016 (KAPP Vaccines) - Five provinces in South Africa

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dc.date.accessioned 2019-09-02T00:00:01z
dc.date.available 2019-09-02 en
dc.date.available 2020-03-27T11:10:41Z
dc.identifier.other 10.14749/1513240774 en
dc.identifier.uri http://dx.doi.org/doi:10.14749/1513240774 en
dc.identifier.uri http://hdl.handle.net/20.500.11910/13061
dc.description.abstract This dataset contains the responses of smallholder farmers who kept cattle, or any combination of cattle with small stock (sheep and goats) across five provinces in South Africa. The questionnaire includes questions on household demographics, source of income, livestock keeping activities and facilities and disease control measures. The aim of this study was to identify livestock farmers' knowledge, attitudes, practices and perceptions (KAPP) on primary animal healthcare with a special focus on vaccinations. The data contains 191 variables and 591 cases. en
dc.subject ATTITUDES en
dc.subject KNOWLEDGE en
dc.subject PERCEPTIONS en
dc.subject SMALL-SCALE LIVESTOCK FARMING SURVEY en
dc.subject VACCINES en
dc.title The socioeconomic dimensions of farming systems and rural farmer households in the context of food security: New generation vaccine programme 2016 (KAPP Vaccines) - Five provinces in South Africa en
dc.type Data set en
dc.description.version 1.0 en
dc.ProjectNumber SNATAA en
dc.SourceTitle The socioeconomic dimensions of farming systems and rural farmer households in the context of food security: New generation vaccine programme 2016 (KAPP Vaccines) - Five provinces in South Africa en
dc.ArchiveNumber KAPP Vaccines 2016 en
dc.outputnumber 2 en
dc.bibliographictitle Wallace D & Chiumbu SH. The socioeconomic dimensions of farming systems and rural farmer households in the context of food security: New generation vaccine programme 2016 (KAPP Vaccines) - Five provinces in South Africa. [Data set]. KAPP Vaccines 2016. Version 1.0. : Human Sciences Research Council [distributor] 2019. http://dx.doi.org/doi:10.14749/1513240774. en
dc.publicationyear 2019 en
dc.datatype Quantitative en
dc.datakind Single tabular (One separate matrix of data values) en


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