Njeru, I.; Lindahl, J.F.; Karanja, J.; Grace, D.; Bett, B.

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.

Publication date: 2017-03-10

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Supporting documentation

Format of the dataset : Comma-separated values (CSV)

This dataset is made available under the terms of the Open Government Licence

You must 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

 

© Ministry of Health, Nairobi, Kenya

This dataset is part of the following

Where/When

Study area

Provenance & quality

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.

Correspondence/contact details

Bernard Bett
International Livestock Research Institute (ILRI) Kenya
30709 Naivasha Rd
Nairobi
00100
Kenya
b.bett@cgiar.org

Authors

Njeru, I.
Ministry of Health, Nairobi, Kenya
Lindahl, J.F.
International Livestock Research Institute (ILRI) Kenya
Karanja, J.
Ministry of Health
Grace, D.
International Livestock Research Institute (ILRI) Kenya
Bett, B.
International Livestock Research Institute (ILRI) Kenya

Other contacts

Custodian
Environmental Information Data Centre
eidc@ceh.ac.uk
Publisher
NERC Environmental Information Data Centre
eidc@ceh.ac.uk

Spatial

Spatial representation type
Tabular (text)

Tags

Topic categories
Health
Keywords
Dynamic Drivers of Disease in Africa Consortium (DDDAC),  Ecosystem Services for Poverty Alleviation (ESPA),  Garissa Kenya Rift Valley Fever (RVF),  seroprevalence,  serum,  Tana River