Hybrid surveillance and Bayesian modelling to estimate brucellosis incidence in a livestock-keeping population in northern Tanzania

Holmes, A., De Glanville, W., Katiti, V., Mendes, Â. , Bodenham, R., Lukambagire, A., Mmbaga, B., Rubach, M., Crump, J., Cleaveland, S. , Viana, M. and Halliday, J. (2026) Hybrid surveillance and Bayesian modelling to estimate brucellosis incidence in a livestock-keeping population in northern Tanzania. [Data Collection]

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csv files including all data fields included in the analyses presented in the paper, except for any fields where inclusion might compromise participant anonymity.

Funding:
College / School: College of Medical Veterinary and Life Sciences > School of Infection and Immunity
Date Deposited: 22 Sep 2026 10:30
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Ethics statement:
Ethical approval was granted by the Kilimanjaro Christian Medical Centre (KCMC) University Research Ethics Committee (698 and 829); National Institute of Medical Research (NIMR), Tanzania (NIMR/HQ/R.8c/Vol. I/1140 and NIMR/HQ/R.8a/Vol. IX/2079) University of Otago Human Ethics Committee (H17/052), and University of Glasgow College of Medical, Veterinary and Life Sciences Ethics Committee (200140149).

URI: https://researchdata.gla.ac.uk/id/eprint/2317

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Holmes, A., De Glanville, W., Katiti, V., Mendes, Â. , Bodenham, R., Lukambagire, A., Mmbaga, B., Rubach, M., Crump, J., Cleaveland, S. , Viana, M. and Halliday, J. (2026); Hybrid surveillance and Bayesian modelling to estimate brucellosis incidence in a livestock-keeping population in northern Tanzania

University of Glasgow

DOI: 10.5525/gla.researchdata.2317

Retrieved: 2026-09-23

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