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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
https://catalogue.ceh.ac.uk/id/b9756c4c-9894-4147-a260-a79067604a06
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
Point of contact
  International Livestock Research Institute (ILRI) Kenya - Bett, B.
Author
  International Livestock Research Institute (ILRI) Kenya - Bett, B.
https://orcid.org/0000-0001-9376-2941
Author
  International Livestock Research Institute (ILRI) Kenya - Lindahl, J.F.
https://orcid.org/0000-0002-1175-0398
Author
  Ministry of Agriculture, Livestock and Fisheries - Wanyoike, S.
https://orcid.org/0000-0001-8235-5566
Author
  International Livestock Research Institute (ILRI) Kenya - Grace, D.
https://orcid.org/0000-0002-0195-9489
Publisher
  NERC Environmental Information Data Centre
Custodian
  NERC EDS Environmental Information Data Centre
Maintenance and update frequency
notPlanned Not planned
GeoNames
  • Kenya
Keywords
  • 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
Other constraints
This resource is made available under the terms of the Open Government Licence
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
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Unique resource identifier
WGS 84
Distribution format
  • Comma-separated values (CSV) ()

Distributor
  NERC EDS Environmental Information Data Centre
OnLine resource
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Hierarchy level
dataset Dataset
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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/
 
 

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