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
- Identifier
- doi: / 10.5285/b9756c4c-9894-4147-a260-a79067604a06
- Other citation details
- 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
Author
International Livestock Research Institute (ILRI) Kenya
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Bett, B.
https://orcid.org/0000-0001-9376-2941
Author
International Livestock Research Institute (ILRI) Kenya
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Lindahl, J.F.
https://orcid.org/0000-0002-1175-0398
Author
Ministry of Agriculture, Livestock and Fisheries
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Wanyoike, S.
https://orcid.org/0000-0001-8235-5566
Author
International Livestock Research Institute (ILRI) Kenya
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Grace, D.
https://orcid.org/0000-0002-0195-9489
- Maintenance and update frequency
- notPlanned Not planned
- GeoNames
- Keywords
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- Tana River
- Drivers of Disease in Africa Consortium (DDDAC)
- Ecosystem Services for Poverty Alleviation (ESPA)
- Rift Valley Fever
- RVF
- seroprevalence
- serum
- goats
- sheep
- cattle
- Access constraints
- otherRestrictions Other restrictions
- Other constraints
- no limitations
- Use constraints
- otherRestrictions Other restrictions
- Use constraints
- otherRestrictions Other restrictions
- Other constraints
- © International Livestock Research Institute (Kenya)
- Use constraints
- otherRestrictions Other restrictions
- Other constraints
- 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
- textTable Text, table
- Metadata language
- EnglishEnglish
- Character set
- utf8 UTF8
- Topic category
-
- Health
N
S
E
W
- Unique resource identifier
- WGS 84
- Distribution format
-
-
Comma-separated values (CSV)
()
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Comma-separated values (CSV)
()
- OnLine resource
-
Download the data
Download a copy of this data
- OnLine resource
-
Supporting information
Supporting information available to assist in re-use of this dataset
- Hierarchy level
- dataset Dataset
- Other
- dataset
Conformance result
- Date (Publication)
- 2010-12-08
- Statement
- 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.
- File identifier
- b9756c4c-9894-4147-a260-a79067604a06 XML
- Metadata language
- EnglishEnglish
- Character set
- ISO/IEC 8859-1 (also known as Latin 1) 8859 Part 1
- Hierarchy level
- dataset Dataset
- Hierarchy level name
- dataset
- Date stamp
- 2025-11-13T16:19:33
- Metadata standard name
- UK GEMINI
- Metadata standard version
- 2.3
Point of contact
NERC EDS Environmental Information Data Centre
Lancaster Environment Centre, Library Avenue, Bailrigg
,
Lancaster
,
LA1 4AP
,
UK
https://eidc.ac.uk/
Overviews
Spatial extent
N
S
E
W
Provided by
Associated resources
Not available
NERC Data Catalogue Service