ArticleAnimals : an open access journal from MDPI2025
Spatial Risk Distribution of Lumpy Skin Disease in Thailand Based on Maximum-Entropy Modeling.
Article in Animals : an open access journal from MDPI, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- Windborne Dispersal of Arthropod Vectors as a Pathway for Lumpy Skin Disease Virus Introduction into South Korea: A Multi-Species, Source-Attributed Modelling Study.Animals : an open access journal from MDPI · 2026Article
- Spatial epidemiology of lumpy skin disease outbreaks in Thailand: proximity patterns, case concentrations, spatio-temporal clusters, and interpolated case distribution.Frontiers in veterinary science · 2026Article
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
Lumpy skin disease (LSD) poses a significant transboundary threat to livestock health and productivity, especially in regions where vector-borne transmission is a major driver of spread. Environmental and climatic factors are recognized as critical determinants of LSD transmission dynamics. This study aimed to model the environmental suitability for LSD across Thailand using a maximum-entropy approach. Outbreak data from 2021 to 2023 were analyzed alongside bioclimatic variables, land cover, normalized difference vegetation index (NDVI), and cattle population density. The model produced an area under the curve (AUC) value of 0.699 (~0.70), indicating moderate predictive performance. Based on variable contribution, land cover (65%), cattle density (25%), and NDVI (3%) were identified as the most influential predictors of environmental suitability for LSD. The resulting risk map identified central and northeastern Thailand as the most suitable regions for disease occurrence. These findings provide valuable insights to support risk-based surveillance, improve veterinary resource allocation, and enhance early warning systems for effective LSD prevention and control in Thailand.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.