Bayesian spatiotemporal evaluation of bovine anaplasmosis seroprevalence in Missouri (2010–2021)
Ram K. Raghavan, Rosalie Ierardi, Frank Badu Osei, Shuping Zhang · 2026
Read Bayesian spatiotemporal evaluation of bovine anaplasmosis seroprevalence in Missouri (2010–2021) by Ram K. Raghavan, Rosalie Ierardi, Frank Badu Osei, Shuping Zhang (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/pmc-12875914.txt.
Description
Raghavan and co-authors present a study, published in 2025, on a cattle disease in Missouri. Bovine anaplasmosis is a blood disease spread by ticks and biting flies, and it costs ranchers money worldwide. Cases are common in Missouri, but where and when they cluster was poorly mapped.
The team used 1,944 positive tests from a university lab, gathered from 2010 to 2021. They built Bayesian models that track space and time together across 114 counties and one city. The models also filled gaps where county data were missing. Three models of rising complexity tested different views of how cases bunch by place and year. The work lays out a map of risk that can guide testing and control.
Catalog record
| CREATOR | Ram K. Raghavan, Rosalie Ierardi, Frank Badu Osei, Shuping Zhang |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 34 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |