TY - JOUR
T1 - IDEAL, the Infectious Diseases of East African Livestock project open access database and biobank
AU - Callaby, Rebecca
AU - Pendarovski, Cezar
AU - Jennings, Amy
AU - Mwangi, Samuel
AU - Conradie van Wyk, Ilana
AU - Mbole-Kariuki, Mary Ndila
AU - Kiara, Henry
AU - Toye, Phil
AU - Kemp, Stephen
AU - Hanotte, Olivier
AU - Coetzer, Jacobus A. W.
AU - Handel, Ian
AU - Woolhouse, Mark
AU - Bronsvoort, Mark
PY - 2020/7/9
Y1 - 2020/7/9
N2 - The Infectious Diseases of East african Livestock (IDEaL) project was a longitudinal cohort study of calf health which was conducted in Western Kenya between 2007–2010. A total of 548 East African shorthorn zebu calves were recruited at birth and followed at least every 5 weeks during the first year of life. Comprehensive clinical and epidemiological data, blood and tissue samples were collected at every visit. These samples were screened for over 100 different pathogens or infectious exposures, using a range of diagnostic methods. this manuscript describes this comprehensive dataset and bio-repository, and how to access it through a single online site (http://data.ctlgh.org/ideal/). This provides extensive filtering and searching capabilities. These data are useful to illustrate outcomes of multiple infections on health, investigate patterns of morbidity and mortality due to parasite infections, and to study genotypic determinants of immunity and disease.
AB - The Infectious Diseases of East african Livestock (IDEaL) project was a longitudinal cohort study of calf health which was conducted in Western Kenya between 2007–2010. A total of 548 East African shorthorn zebu calves were recruited at birth and followed at least every 5 weeks during the first year of life. Comprehensive clinical and epidemiological data, blood and tissue samples were collected at every visit. These samples were screened for over 100 different pathogens or infectious exposures, using a range of diagnostic methods. this manuscript describes this comprehensive dataset and bio-repository, and how to access it through a single online site (http://data.ctlgh.org/ideal/). This provides extensive filtering and searching capabilities. These data are useful to illustrate outcomes of multiple infections on health, investigate patterns of morbidity and mortality due to parasite infections, and to study genotypic determinants of immunity and disease.
U2 - 10.1038/s41597-020-0559-7
DO - 10.1038/s41597-020-0559-7
M3 - Article
SN - 2052-4463
JO - Scientific Data
JF - Scientific Data
ER -