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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
Identifier
https://catalogue.ceh.ac.uk/id/8a668a4f-3526-4443-9e77-cea67f04ca19
Identifier
doi: / 10.5285/8a668a4f-3526-4443-9e77-cea67f04ca19
Other citation details
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
  International Livestock Research Institute (ILRI) Kenya - Bett, B.
Author
  Ministry of Health, Nairobi, Kenya - Njeru, I.
https://orcid.org/0000-0003-0610-3492
Author
  International Livestock Research Institute (ILRI) Kenya - Lindahl, J.F.
https://orcid.org/0000-0002-1175-0398
Author
  Ministry of Health - Karanja, J.
https://orcid.org/0000-0001-9521-5773
Author
  International Livestock Research Institute (ILRI) Kenya - Grace, D.
https://orcid.org/0000-0002-0195-9489
Author
  International Livestock Research Institute (ILRI) Kenya - Bett, B.
https://orcid.org/0000-0001-9376-2941
Custodian
  NERC EDS Environmental Information Data Centre
Publisher
  NERC Environmental Information Data Centre
Maintenance and update frequency
notPlanned Not planned
Access constraints
otherRestrictions Other restrictions
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no limitations
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otherRestrictions Other restrictions
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This resource is made available under the terms of the Open Government Licence
Use constraints
otherRestrictions Other restrictions
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© Ministry of Health, Nairobi, Kenya
Use constraints
otherRestrictions Other restrictions
Other constraints
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
textTable Text, table
Metadata language
EnglishEnglish
Character set
utf8 UTF8
Topic category
  • Health
Begin date
2013-12-01
End date
2014-02-28
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W
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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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Conformance result

Date (Publication)
2010-12-08
Statement
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.
File identifier
8a668a4f-3526-4443-9e77-cea67f04ca19 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
2025-11-05T08:31:32
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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