BGS Hosted Metadata
Rift Valley fever virus seroprevalence data from cattle, sheep and goats sampled in a cross sectional survey in Tana River County, Kenya (2013)
These data provide results from serological analysis carried out on serum collected from cattle (sample number = 460), goats (sample number = 949) and sheep (Sample number = 574) combined with data collected at the household and subject/animal levels at the time of serum sampling. The data collected at the household and subject/animal levels were: the total number of livestock owned by a household, altitude, geographical coordinates of the sampling sites; and breed, age, sex and body condition score of an animal. The research was carried out in irrigated and non-irrigated areas in Tana River County, Kenya. Field surveys were implemented in August to November 2013 and laboratory analyses were completed in June 2015. Serum samples were harvested from blood samples obtained from animals and screened for anti-Rift Valley Fever (RVF) virus immunoglobulin G using inhibition (enzyme-linked immunosorbent assay) ELISA immunoassay. The household data was collected using Open Data Kit (ODK) loaded into smart phones. The serological analysis was performed to determine the risk of Rift Valley Fever virus exposure in cattle, sheep and goats. The aim of the survey was to investigate whether land use change, specifically the conversion of rangeland into cropland, affected RVF exposure pattern in livestock. The data were collected by experienced researchers from the Ministry of Livestock Development Nairobi, Kenya and the International Livestock Research Institute (Kenya). This dataset is part of a wider research project, the Dynamic Drivers of Disease in Africa Consortium (DDDAC). The research was funded by NERC project no NE-J001570-1 with support from the Ecosystem Services for Poverty Alleviation Programme (ESPA). Additional funding was provided by Consultative Group on International Agricultural Research (CGIAR) Research Program Agriculture for Nutrition and Health led by International Food Policy Research Institute (IFPRI). Full details about this dataset can be found at https://doi.org/10.5285/b9756c4c-9894-4147-a260-a79067604a06
Simple
- Date (Publication)
- 2017-03-08
- Date (Creation)
- 2013-06-01
- Citation identifier
- https://catalogue.ceh.ac.uk/id/b9756c4c-9894-4147-a260-a79067604a06
- Citation identifier
- doi: / 10.5285/b9756c4c-9894-4147-a260-a79067604a06
- Other citation details
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Bett, B., Lindahl, J.F., Wanyoike, S., Grace, D. (2017). Rift Valley fever virus seroprevalence data from cattle, sheep and goats sampled in a cross sectional survey in Tana River County, Kenya (2013). NERC Environmental Information Data Centre 10.5285/b9756c4c-9894-4147-a260-a79067604a06
- Point of contact
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Organisation name Individual name Electronic mail address Role International Livestock Research Institute (ILRI) Kenya Bett, B.
Point of contact International Livestock Research Institute (ILRI) Kenya Bett, B. Author International Livestock Research Institute (ILRI) Kenya Lindahl, J.F. Author Ministry of Agriculture, Livestock and Fisheries Wanyoike, S. Author International Livestock Research Institute (ILRI) Kenya
Grace, D. Author NERC Environmental Information Data Centre Publisher NERC EDS Environmental Information Data Centre Custodian
- Maintenance and update frequency
- Not planned
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GeoNames
- Keywords
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Tana River
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Drivers of Disease in Africa Consortium (DDDAC)
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Ecosystem Services for Poverty Alleviation (ESPA)
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Rift Valley Fever
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RVF
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seroprevalence
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serum
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goats
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sheep
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cattle
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- Access constraints
- Other restrictions
- Other constraints
- no limitations
- Use constraints
- Other restrictions
- Use constraints
- Other restrictions
- Other constraints
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© International Livestock Research Institute (Kenya)
- Use constraints
- Other restrictions
- Other constraints
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If you reuse this data, you should cite: Bett, B., Lindahl, J.F., Wanyoike, S., Grace, D. (2017). Rift Valley fever virus seroprevalence data from cattle, sheep and goats sampled in a cross sectional survey in Tana River County, Kenya (2013). NERC Environmental Information Data Centre https://doi.org/10.5285/b9756c4c-9894-4147-a260-a79067604a06
- Spatial representation type
- Text, table
- Language
- English
- Character set
- UTF8
- Topic category
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- Health
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- Unique resource identifier
- WGS 84
- Distribution format
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Name Version Comma-separated values (CSV)
- Distributor contact
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Organisation name Individual name Electronic mail address Role NERC EDS Environmental Information Data Centre
Distributor
- OnLine resource
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Protocol Linkage Name https://data-package.ceh.ac.uk/data/b9756c4c-9894-4147-a260-a79067604a06 Download the data
- OnLine resource
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Protocol Linkage Name https://data-package.ceh.ac.uk/sd/b9756c4c-9894-4147-a260-a79067604a06.zip Supporting information
- Hierarchy level
- Dataset
- Other
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dataset
Conformance result
- Title
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Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services
- Date (Publication)
- 2010-12-08
- Statement
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Households and subsequently livestock within the households were randomly selected and recruited into the study. Household data were collected using a short questionnaire that was administered to the household head or his/her representative. Animal characteristics (e.g. age, sex, species, breed, etc.) were obtained using a checklist at the time of blood sampling. These data was uploaded to a server at the International Livestock Research Institute (ILRI) at the end of each day. The data were stored in an on-line database as Microsoft Excel files. Blood samples were collected from recruited animals through jugular venipuncture. Serum samples were prepared in the field and preserved in dry ice until they were transferred into liquid nitrogen tanks on arrival at the research laboratories at ILRI. These samples were screened for anti-(Rift Valley Fever) RVF virus immunoglobulin G using inhibition ELISA (enzyme-linked immunosorbent assay) immunoassay with the results being kept in a database designed in Microsoft Excel. The final dataset was created by merging field and laboratory data and the merged data were converted into a csv file for ingestion. Records from each of the files have not been transformed or altered in any way.
Metadata
- File identifier
- b9756c4c-9894-4147-a260-a79067604a06 XML
- Metadata language
- English
- Character set
- 8859 Part 1
- Hierarchy level
- Dataset
- Hierarchy level name
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dataset
- Date stamp
- 2025-11-13T16:19:33
- Metadata standard name
- UK GEMINI
- Metadata standard version
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2.3
- Metadata author
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Organisation name Individual name Electronic mail address Role NERC EDS Environmental Information Data Centre Point of contact
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