Identification

Title

Rift Valley fever virus seroprevalence data from cattle, sheep and goats sampled in a cross sectional survey in Tana River County, Kenya (2013)

Abstract

These data provide results from serological analysis carried out on serum collected from cattle (sample number = 460), goats (sample number = 949) and sheep (Sample number = 574) combined with data collected at the household and subject/animal levels at the time of serum sampling. The data collected at the household and subject/animal levels were: the total number of livestock owned by a household, altitude, geographical coordinates of the sampling sites; and breed, age, sex and body condition score of an animal. The research was carried out in irrigated and non-irrigated areas in Tana River County, Kenya. Field surveys were implemented in August to November 2013 and laboratory analyses were completed in June 2015. Serum samples were harvested from blood samples obtained from animals and screened for anti-Rift Valley Fever (RVF) virus immunoglobulin G using inhibition (enzyme-linked immunosorbent assay) ELISA immunoassay. The household data was collected using Open Data Kit (ODK) loaded into smart phones. The serological analysis was performed to determine the risk of Rift Valley Fever virus exposure in cattle, sheep and goats. The aim of the survey was to investigate whether land use change, specifically the conversion of rangeland into cropland, affected RVF exposure pattern in livestock. The data were collected by experienced researchers from the Ministry of Livestock Development Nairobi, Kenya and the International Livestock Research Institute (Kenya). 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 Consultative Group on International Agricultural Research (CGIAR) Research Program Agriculture for Nutrition and Health led by International Food Policy Research Institute (IFPRI). Full details about this dataset can be found at https://doi.org/10.5285/b9756c4c-9894-4147-a260-a79067604a06

Resource type

dataset

Resource locator

https://data-package.ceh.ac.uk/data/b9756c4c-9894-4147-a260-a79067604a06

description: Download a copy of this data

function: download

https://data-package.ceh.ac.uk/sd/b9756c4c-9894-4147-a260-a79067604a06.zip

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

function: information

Unique resource identifier

code

https://catalogue.ceh.ac.uk/id/b9756c4c-9894-4147-a260-a79067604a06

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

39.67

East bounding longitude

40.05

North bounding latitude

-1.06

South bounding latitude

-1.53

Temporal reference

Temporal extent

Begin position

End position

Dataset reference date

date type

publication

effective date

2017-03-08

date type

creation

effective date

2013-06-01

Frequency of update

notPlanned

Quality and validity

Lineage

Households and subsequently livestock within the households were randomly selected and recruited into the study. Household data were collected using a short questionnaire that was administered to the household head or his/her representative. Animal characteristics (e.g. age, sex, species, breed, etc.) were obtained using a checklist at the time of blood sampling. These data was uploaded to a server at the International Livestock Research Institute (ILRI) at the end of each day. The data were stored in an on-line database as Microsoft Excel files. Blood samples were collected from recruited animals through jugular venipuncture. Serum samples were prepared in the field and preserved in dry ice until they were transferred into liquid nitrogen tanks on arrival at the research laboratories at ILRI. These samples were screened for anti-(Rift Valley Fever) RVF virus immunoglobulin G using inhibition ELISA (enzyme-linked immunosorbent assay) immunoassay with the results being kept in a database designed in Microsoft Excel. The final dataset was created by merging field and laboratory data and the merged data were converted into a csv file for ingestion. Records from each of the files have not been transformed or altered in any way.

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: Bett, B., Lindahl, J.F., Wanyoike, S., Grace, D. (2017). Rift Valley fever virus seroprevalence data from cattle, sheep and goats sampled in a cross sectional survey in Tana River County, Kenya (2013). NERC Environmental Information Data Centre https://doi.org/10.5285/b9756c4c-9894-4147-a260-a79067604a06

Responsible organisations

Responsible party

organisation name

email address

b.bett@cgiar.org

responsible party role

pointOfContact

Responsible party

organisation name

email address

b.bett@cgiar.org

web address

https://orcid.org/0000-0001-9376-2941

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