Multilevel analysis of risk factors for clinical mastitis in dairy cows in Plateau State, Nigeria: a hierarchical mixed-effects logistic regression modelling approach
Joshua Onyango, Aminu Shittu, Mohammad-Bashir Bolajoko, Folorunso O Fasina, Andrew Peters · 2026
Read Multilevel analysis of risk factors for clinical mastitis in dairy cows in Plateau State, Nigeria: a hierarchical mixed-effects logistic regression modelling approach by Joshua Onyango, Aminu Shittu, Mohammad-Bashir Bolajoko, Folorunso O Fasina, Andrew Peters (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/PMC13523309.txt.
Description
Joshua Onyango and colleagues analyze risk factors for udder infection in Nigerian dairy cows in a 2026 multilevel study. A cross-sectional survey covered two hundred ninety-eight farms in Plateau State, collecting farm, animal, housing, milking hygiene, and treatment information. Infection was counted at herd level from farmer-reported cases in the current lactation, a definition the authors note could misclassify some herds without laboratory confirmation.
Nearly six in ten herds reported mastitis in the current year. Large herds had markedly higher odds, and the presence of working bulls also mattered. Post-milking teat dipping was strongly linked to lower odds, as were aspects of milking hygiene such as separate cleaning cloths. Treatment practices also entered the final models. The authors offer the layered analysis as a guide for targeted control on diverse farms.
Catalog record
| CREATOR | Joshua Onyango, Aminu Shittu, Mohammad-Bashir Bolajoko, Folorunso O Fasina, Andrew Peters |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 71651 |
| LICENSE | https://creativecommons.org/licenses/by/4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |