Bayesian hierarchical mixture modelling to derive probabilistic iELISA thresholds for bovine brucellosis in endemic dairy systems
- DOI
- 10.1371/journal.pone.0347719
- Published
- 2026-07-30
- Container
- PLOS One
- Publisher
- Public Library of Science (PLoS)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1371/journal.pone.0347719,
title = {Bayesian hierarchical mixture modelling to derive probabilistic iELISA thresholds for bovine brucellosis in endemic dairy systems},
author = {Md. Shaffiul Alam and Md. Nazmul Islam and Bishwo Jyoti Adhikari and Shanta Islam and RS Mahmud Hasan and Md. Siddiqur Rahman and M. Ariful Islam and Muhammad Aktaruzzaman and Lefteris Meletis and Polychronis Kostoulas and A K M Anisur Rahman},
year = {2026},
journal = {PLOS One},
doi = {10.1371/journal.pone.0347719},
url = {https://doi.org/10.1371/journal.pone.0347719}
}RIS
TY - JOUR TI - Bayesian hierarchical mixture modelling to derive probabilistic iELISA thresholds for bovine brucellosis in endemic dairy systems AU - Md. Shaffiul Alam AU - Md. Nazmul Islam AU - Bishwo Jyoti Adhikari AU - Shanta Islam AU - RS Mahmud Hasan AU - Md. Siddiqur Rahman AU - M. Ariful Islam AU - Muhammad Aktaruzzaman AU - Lefteris Meletis AU - Polychronis Kostoulas AU - A K M Anisur Rahman PY - 2026 JO - PLOS One DO - 10.1371/journal.pone.0347719 UR - https://doi.org/10.1371/journal.pone.0347719 ER -
APA
Alam, M. S., Islam, M. N., Adhikari, B. J., Islam, S., Hasan, R. M., Rahman, M. S., Islam, M. A., Aktaruzzaman, M., Meletis, L., Kostoulas, P., & Rahman, A. K. M. A. (2026). Bayesian hierarchical mixture modelling to derive probabilistic iELISA thresholds for bovine brucellosis in endemic dairy systems. PLOS One. https://doi.org/10.1371/journal.pone.0347719
Source records
- crossref · retrieved 2026-09-25T01:05:32.784Z