ArticleBrazilian journal of veterinary medicine2025
Kernel Density Estimation (KDE) as a tool to enhance bovine tuberculosis surveillance in Santa Catarina, Brazil.
Article in Brazilian journal of veterinary medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
2 citing papers in PubMed.
- Improving Bovine Tuberculosis Surveillance Through Risk-Based Prioritization of Slaughterhouse-Triggered Trace-Back Investigations.Animals : an open access journal from MDPI · 2026Article
- Seroprevalence and geospatial epidemiology of yaws: Evidence from Ghana.PLoS neglected tropical diseases · 2025Article
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Authors and funding
4 authors.
Funding
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Abstract
In areas with low bovine tuberculosis (bTB) prevalence, such as Santa Catarina state, Brazil, effective surveillance is essential for disease eradication. Current strategies may miss high-risk farms by inadequately considering spatial risk factors. This study used Kernel Density Estimation (KDE) to analyze spatial risk patterns in Santa Catarina, Brazil, leveraging the official veterinary service's (CIDASC's Sigen+ database) farm data, testing history, and animal movement records. Results revealed that while existing surveillance targets many high-risk areas, some remain unmonitored. Practices such as on-farm slaughter and insufficient movement testing create vulnerabilities that can hinder bTB detection. Integrating KDE-derived risk maps into the current surveillance efforts can improve targeted resource allocation and disease control. This study demonstrated the value of spatial risk analysis for enhancing bTB surveillance in Santa Catarina state, offering a strategic tool to support CIDASC's eradication efforts and serving as a model for other regions seeking to strengthen their surveillance programs.
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