b9756c4c-9894-4147-a260-a79067604a06 English ISO/IEC 8859-1 (also known as Latin 1) dataset dataset NERC EDS Environmental Information Data Centre Lancaster Environment Centre, Library Avenue, Bailrigg Lancaster LA1 4AP UK info@eidc.ac.uk https://eidc.ac.uk/ EIDC website The Environmental Information Data Centre (EIDC) is the UK's national data centre for terrestrial and freshwater sciences. information pointOfContact 2025-11-13T16:19:33 UK GEMINI 2.3 WGS 84 Rift Valley fever virus seroprevalence data from cattle, sheep and goats sampled in a cross sectional survey in Tana River County, Kenya (2013) 2017-03-08 publication 2013-06-01 creation https://catalogue.ceh.ac.uk/id/b9756c4c-9894-4147-a260-a79067604a06 10.5285/b9756c4c-9894-4147-a260-a79067604a06 doi: 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 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 Bett, B. International Livestock Research Institute (ILRI) Kenya b.bett@cgiar.org pointOfContact Bett, B. International Livestock Research Institute (ILRI) Kenya b.bett@cgiar.org https://orcid.org/0000-0001-9376-2941 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Lindahl, J.F. International Livestock Research Institute (ILRI) Kenya J.Lindahl@cgiar.org https://orcid.org/0000-0002-1175-0398 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Wanyoike, S. Ministry of Agriculture, Livestock and Fisheries swwanyoike@yahoo.com https://orcid.org/0000-0001-8235-5566 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Grace, D. International Livestock Research Institute (ILRI) Kenya d.grace@cgiar.org https://orcid.org/0000-0002-0195-9489 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author NERC Environmental Information Data Centre info@eidc.ac.uk publisher NERC EDS Environmental Information Data Centre info@eidc.ac.uk custodian notPlanned Kenya GeoNames 2006-01-01 creation Tana River Drivers of Disease in Africa Consortium (DDDAC) Ecosystem Services for Poverty Alleviation (ESPA) Rift Valley Fever RVF seroprevalence serum goats sheep cattle otherRestrictions no limitations otherRestrictions This resource is made available under the terms of the Open Government Licence otherRestrictions © International Livestock Research Institute (Kenya) otherRestrictions 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 textTable English utf8 health 39.67 40.05 -1.53 -1.06 Comma-separated values (CSV) NERC EDS Environmental Information Data Centre info@eidc.ac.uk distributor https://data-package.ceh.ac.uk/data/b9756c4c-9894-4147-a260-a79067604a06 Download the data Download a copy of this data download https://data-package.ceh.ac.uk/sd/b9756c4c-9894-4147-a260-a79067604a06.zip Supporting information Supporting information available to assist in re-use of this dataset information dataset dataset 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 2010-12-08 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.