8a668a4f-3526-4443-9e77-cea67f04ca19 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 2025-11-13T16:24:09 UK GEMINI 2.3 WGS 84 Rift Valley fever virus seroprevalence data from people involved in a cross-sectional survey in Tana River and Garissa counties, Kenya (December 2013 - February 2014) 2017-03-10 publication https://catalogue.ceh.ac.uk/id/8a668a4f-3526-4443-9e77-cea67f04ca19 10.5285/8a668a4f-3526-4443-9e77-cea67f04ca19 doi: Njeru, I., Lindahl, J.F., Karanja, J., Grace, D., Bett, B. (2017). Rift Valley fever virus seroprevalence data from people involved in a cross-sectional survey in Tana River and Garissa counties, Kenya (December 2013 - February 2014). NERC Environmental Information Data Centre 10.5285/8a668a4f-3526-4443-9e77-cea67f04ca19 These data include results from serological analysis carried out on serum collected from randomly recruited subjects, merged with household and subject level data about the subjects. The subject and household data collected included occupation of the household head, size of the household, and occupation, gender and age of the subject. Samples were collected from 303 people based in irrigated areas, 728 people from pastoral areas and 81 people from riverine areas along River Tana in Tana River and Garissa counties, Kenya. Field surveys were implemented in December 2013 to February 2014 and laboratory analyses were completed in June 2015. Serum samples were harvested from blood samples obtained from randomly recruited subjects and screened for anti-RVF virus immunoglobulin G using inhibition ELISA (enzyme-linked immunosorbent assay) immunoassay. The household and subject metadata was collected using Open Data Kit (ODK) (https://opendatakit.org) loaded into smart phones. The aim of the project was to determine the risk of Rift Valley Fever virus exposure in people living in areas with different land use and socio-ecological settings. The data were collected by experienced researchers from the International Livestock Research Institute (Kenya), the Department of Disease Surveillance and Response, Kenyatta National Hospital 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 the Consultative Group on International Agricultural Research (CGIAR) Research Program Agriculture for Nutrition and Health. Full details about this dataset can be found at https://doi.org/10.5285/8a668a4f-3526-4443-9e77-cea67f04ca19 Bett, B. International Livestock Research Institute (ILRI) Kenya b.bett@cgiar.org pointOfContact Njeru, I. Ministry of Health, Nairobi, Kenya iannjeru75@yahoo.com https://orcid.org/0000-0003-0610-3492 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 Karanja, J. Ministry of Health karanja_joan@yahoo.co.uk https://orcid.org/0000-0001-9521-5773 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 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 NERC EDS Environmental Information Data Centre info@eidc.ac.uk custodian NERC Environmental Information Data Centre info@eidc.ac.uk publisher notPlanned Kenya Tana River Garissa GeoNames 2006-01-01 creation Dynamic Drivers of Disease in Africa Consortium (DDDAC) Ecosystem Services for Poverty Alleviation (ESPA) Rift Valley Fever (RVF) seroprevalence serum otherRestrictions no limitations otherRestrictions This resource is made available under the terms of the Open Government Licence otherRestrictions © Ministry of Health, Nairobi, Kenya otherRestrictions If you reuse this data, you should cite: Njeru, I., Lindahl, J.F., Karanja, J., Grace, D., Bett, B. (2017). Rift Valley fever virus seroprevalence data from people involved in a cross-sectional survey in Tana River and Garissa counties, Kenya (December 2013 - February 2014). NERC Environmental Information Data Centre https://doi.org/10.5285/8a668a4f-3526-4443-9e77-cea67f04ca19 textTable English utf8 health 2013-12-01 2014-02-28 38.93 41.14 -1.89 0.64 Comma-separated values (CSV) NERC EDS Environmental Information Data Centre info@eidc.ac.uk distributor https://data-package.ceh.ac.uk/sd/8a668a4f-3526-4443-9e77-cea67f04ca19.zip Supporting information Supporting information available to assist in re-use of this dataset information https://data-package.ceh.ac.uk/data/8a668a4f-3526-4443-9e77-cea67f04ca19 Download the data Download a copy of this data download 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 Serum samples were harvested from blood samples obtained from randomly recruited subjects and screened for anti-RVF virus immunoglobulin G using inhibition ELISA (enzyme-linked immunosorbent assay) immunoassay. Samples were preserved in the field and while in-transit in dry ice, and were immediately transferred into liquid nitrogen tanks on arrival at the research laboratories at the International Livestock Research Institute, Nairobi. Household and subject level data were collected using a short questionnaire, held on a smart phone, administered to the subject on the day of sampling. The dataset was created by merging the household and subject level data with the laboratory serological analysis results. Both of these datasets were stored initially in Microsoft Excel; they were converted later to csv for ingestion. In the field, quality assurance was ensured by using bar coded sample containers and using Open Data Kit (ODK) for data collection to avoid recording errors. In the lab, quality assurance was done by running serological tests in duplicates.