ArticleAnimals : an open access journal from MDPI2026
A Slaughterhouse-Linked Spatial Framework for Prioritizing Livestock Surveillance in Thailand.
Article in Animals : an open access journal from MDPI, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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5 authors.
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Abstract
(1) Background: Slaughterhouses receive livestock from different sources, enabling the collection of health-related surveillance information. Few surveillance frameworks integrate slaughterhouse distribution with livestock population density for prioritizing surveillance areas. (2) Methods: The surveillance priority of livestock in Thailand was determined on a district basis. Registered slaughterhouses were mapped using kernel density estimation. Livestock were mapped using census data. The z-scores were combined to determine the composite surveillance prioritization index for each district. The 90th percentile was used to determine district-level surveillance priority. Spatial analyses using Global Moran's I and LISA statistics were performed. Sensitivity analyses assessed robustness. (3) Results: The composite district-level priority index ranged from -0.728 to 9.071 (I = 0.642,
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