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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

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Identification info

Metadata Language
English (en)
Character set
utf8
Dataset Reference Date ()
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
  International Livestock Research Institute (ILRI) Kenya - Bernard Bett
  Ministry of Health, Nairobi, Kenya - Njeru, I.
  International Livestock Research Institute (ILRI) Kenya - Lindahl, J.F.
  Ministry of Health - Karanja, J.
  International Livestock Research Institute (ILRI) Kenya - Grace, D.
  International Livestock Research Institute (ILRI) Kenya - Bett, B.
  NERC EDS Environmental Information Data Centre
  NERC Environmental Information Data Centre
Maintenance and update frequency
notPlanned
GeoNames
  • Kenya
  • Tana River
  • Garissa
Keywords
  • Dynamic Drivers of Disease in Africa Consortium (DDDAC)
  • Ecosystem Services for Poverty Alleviation (ESPA)
  • Rift Valley Fever (RVF)
  • seroprevalence
  • serum
Limitations on Public Access
otherRestrictions
Other constraints
no limitations
Use constraints
otherRestrictions
Other constraints
This resource is made available under the terms of the Open Government Licence
Use constraints
otherRestrictions
Other constraints
© Ministry of Health, Nairobi, Kenya
Use constraints
otherRestrictions
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
Topic category
  • Health
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Begin date
2013-12-01
End date
2014-02-28
 
Code
WGS 84

Distribution Information

Data format
  • Comma-separated values (CSV) ()

Resource Locator
Supporting information

Supporting information available to assist in re-use of this dataset

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Resource Locator
Supporting information

Supporting information available to assist in re-use of this dataset

Resource Locator
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Download a copy of this data

 
Quality Scope
dataset
Other
dataset

Report

Dataset Reference Date ()
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.

Metadata

File identifier
8a668a4f-3526-4443-9e77-cea67f04ca19 XML
Metadata Language
English (en)
Character set
ISO/IEC 8859-1 (also known as Latin 1)
Resource type
dataset
Hierarchy level name
dataset
Metadata Date
2022-05-20T10:41:46
Metadata standard name
UK GEMINI
Metadata standard version
2.3
  Environmental Information Data Centre
Lancaster Environment Centre, Library Avenue, Bailrigg , Lancaster , LA1 4AP , UK
 
 

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