Identification

Title

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)

Abstract

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

Resource type

dataset

Resource locator

https://data-package.ceh.ac.uk/sd/8a668a4f-3526-4443-9e77-cea67f04ca19.zip

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

function: information

https://data-package.ceh.ac.uk/data/8a668a4f-3526-4443-9e77-cea67f04ca19

description: Download a copy of this data

function: download

Unique resource identifier

code

https://catalogue.ceh.ac.uk/id/8a668a4f-3526-4443-9e77-cea67f04ca19

codeSpace

doi:

Dataset language

eng

Spatial reference system

code identifying the spatial reference system

Classification of spatial data and services

Topic category

health

Keywords

Geographic location

West bounding longitude

38.93

East bounding longitude

41.14

North bounding latitude

0.64

South bounding latitude

-1.89

Temporal reference

Temporal extent

Begin position

2013-12-01

End position

2014-02-28

Dataset reference date

date type

publication

effective date

2017-03-10

Frequency of update

notPlanned

Quality and validity

Lineage

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.

Conformity

Conformity report

specification

title

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

reference date

date type

publication

effective date

2010-12-08

degree

explanation

Data format

name of format

Comma-separated values (CSV)

version of format

Constraints related to access and use

Constraint set

Limitations on public access

Constraint set

Limitations on public access

Constraint set

Limitations on public access

Constraint set

Limitations on public access

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

Responsible organisations

Responsible party

organisation name

International Livestock Research Institute (ILRI) Kenya

email address

b.bett@cgiar.org

responsible party role

pointOfContact

Responsible party

organisation name

Ministry of Health, Nairobi, Kenya

email address

iannjeru75@yahoo.com

web address

https://orcid.org/0000-0003-0610-3492

description: 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.

function: information