Evidence map›Paper›PMID 40302762›Full record

ArticleTransboundary and emerging diseases2025

Geographical Distribution, Spatial Directional Trends, and Spatio-Temporal Clusters of the First Rapid and Widespread Lumpy Skin Disease Outbreaks in Thailand.

Kusnul Yuli Maulana, Kannika Na-Lampang, Orapun Arjkumpa, Noppawan Buamithup, Kannikar Intawong, Veerasak Punyapornwithaya

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Article in Transboundary and emerging diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Kusnul Yuli MaulanaFaculty of Veterinary Medicine, Chiang Mai University, Chiang Mai, Thailand.ORCID https://orcid.org/0000-0003-2381-3031
Kannika Na-LampangFaculty of Veterinary Medicine, Chiang Mai University, Chiang Mai, Thailand.ORCID https://orcid.org/0000-0003-4621-9764
Orapun ArjkumpaAnimal Health Section, The 4th Regional Livestock Office, Department of Livestock Development, Khon Kaen, Thailand.ORCID https://orcid.org/0000-0002-5297-5630
Noppawan BuamithupDepartment of Livestock Development, Ministry of Agriculture and Cooperatives, Bangkok, Thailand.ORCID https://orcid.org/0009-0005-2321-7258
Kannikar IntawongFaculty of Public Health, Chiang Mai University, Chiang Mai, Thailand.ORCID https://orcid.org/0000-0003-2704-9595
Veerasak PunyapornwithayaFaculty of Veterinary Medicine, Chiang Mai University, Chiang Mai, Thailand.ORCID https://orcid.org/0000-0001-9870-7773

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Thailand was recognized as having the highest number of lumpy skin disease (LSD) outbreaks in Southeast Asia during 2021. Understanding how LSD outbreaks spread over time and space can provide detailed insight into the distribution and pattern of the disease, allowing for more precise identification of areas with high disease burden. This study aims to explore the spread of LSD among cattle in Thailand during 2021 using spatial and spatio-temporal analyses. Data were analyzed using spatial analysis techniques, including spatial autocorrelation and directional distribution. Additionally, the spatio-temporal models, including space-time permutation (STP) and Poisson with various maximum reported cluster size (MRCS) settings, were applied to the data to determine LSD outbreak clusters. Results showed that a total of 642 LSD outbreaks were reported from March to December 2021. Districts with confirmed cases exhibited spatial autocorrelation, indicating the interconnected spread of LSD across different geographic areas. Furthermore, the disease distribution pattern appeared to extend to the southern and southwestern regions from the northeast. Based on the spatio-temporal models, LSD outbreak clusters were identified in several regions. The STP model tended to identify more clusters with smaller radii compared to the Poisson model. The number of clusters detected varied according to both the model and MRCS setting, underscoring the importance of selecting the most relevant clusters for the effective implementation of disease control strategies. This study was the first of its kind to assess the spatial direction and spatio-temporal distribution of LSD outbreak clusters based on national-level data. Evaluating LSD occurrence through spatial and spatio-temporal analyses can provide valuable insight into its spatio-temporal dynamics, facilitating disease surveillance, control measures, and vector control strategies in Thailand.

Indexed as

Disease OutbreaksLumpy Skin DiseaseAnimalsCattleCluster AnalysisSpatial AnalysisSpatio-Temporal AnalysisThailand

Identifiers

PMID40302762
PMCPMC12016731

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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 OpenQuestion graph.