BGS Hosted Metadata
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)
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
Simple
- Date (Publication)
- 2017-03-10
- Citation identifier
- https://catalogue.ceh.ac.uk/id/8a668a4f-3526-4443-9e77-cea67f04ca19
- Citation identifier
- doi: / 10.5285/8a668a4f-3526-4443-9e77-cea67f04ca19
- Other citation details
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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
- 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 Ministry of Health, Nairobi, Kenya
Njeru, I. Author International Livestock Research Institute (ILRI) Kenya
Lindahl, J.F. Author Ministry of Health
Karanja, J. Author International Livestock Research Institute (ILRI) Kenya
Grace, D. Author International Livestock Research Institute (ILRI) Kenya
Bett, B. Author NERC EDS Environmental Information Data Centre Custodian NERC Environmental Information Data Centre Publisher
- Maintenance and update frequency
- Not planned
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GeoNames
- Keywords
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Dynamic Drivers of Disease in Africa Consortium (DDDAC)
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Ecosystem Services for Poverty Alleviation (ESPA)
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Rift Valley Fever (RVF)
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seroprevalence
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serum
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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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© Ministry of Health, Nairobi, Kenya
- Use constraints
- Other restrictions
- Other constraints
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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
- Spatial representation type
- Text, table
- Language
- English
- Character set
- UTF8
- Topic category
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- Health
- Begin date
- 2013-12-01
- End date
- 2014-02-28
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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/sd/8a668a4f-3526-4443-9e77-cea67f04ca19.zip Supporting information
- OnLine resource
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Protocol Linkage Name https://data-package.ceh.ac.uk/data/8a668a4f-3526-4443-9e77-cea67f04ca19 Download the data
- 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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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.
Metadata
- File identifier
- 8a668a4f-3526-4443-9e77-cea67f04ca19 XML
- Metadata language
- English
- Character set
- 8859 Part 1
- Hierarchy level
- Dataset
- Hierarchy level name
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dataset
- Date stamp
- 2025-11-13T16:24:09
- 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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