ArticleBMC veterinary research2020
Spatiotemporal analyses of foot and mouth disease outbreaks in cattle farms in Chiang Mai and Lamphun, Thailand.
Article in BMC veterinary research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed.
- An Overview of Epidemiological Tools That Support the Progress of Foot-and-Mouth Disease Control in Southeast Asia.Pathogens (Basel, Switzerland) · 2026Review
- Spatiotemporal trends of foot and mouth disease (FMD) in Bangladesh from 2017 to 2023 and their associations with climatic factors and machine learning (ML) based prediction.Scientific reports · 2026Article
- A Slaughterhouse-Linked Spatial Framework for Prioritizing Livestock Surveillance in Thailand.Animals : an open access journal from MDPI · 2026Article
- A Spatial Analytic Approach to Maternal Health Following Hurricane Florence (2018).Maternal and child health journal · 2026Article
- Spatial and temporal epidemiology of FMD in Bhutan (2011-2019).BMC veterinary research · 2025Article
- Qualitative Risk Assessment of Foot-and-Mouth Disease Virus Introduction and Transmission to Dairy Farms via Raw Milk Transportation in Thailand: A Scenario-Based Approach.Veterinary sciences · 2025Article
- Spatial-temporal distribution and risk factors of foot and mouth disease outbreaks in Java Island, Indonesia from 2022 to 2023.BMC veterinary research · 2025Article
- Investigating Transboundary Spread Patterns and Cluster Characteristics of Lumpy Skin Disease (LSD) Outbreaks in Asia: Levering the Outbreak Data (2019-2023) to Support the LSD Prevention and Control Strategies.Transboundary and emerging diseases · 2025Article
- Evaluation and comparison of performances of six commercial NSP ELISA assays for foot and mouth disease virus in Thailand.Scientific reports · 2024Article
- Spatiotemporal analysis of foot and mouth disease outbreaks in cattle and small ruminants in Türkiye between 2010 and 2019.Veterinary research communications · 2024Article
- Article
- A scoping review of foot-and-mouth disease risk, based on spatial and spatio-temporal analysis of outbreaks in endemic settings.Transboundary and emerging diseases · 2022Article
- Epidemiology of foot-and-mouth disease outbreaks in Thailand from 2011 to 2018.Transboundary and emerging diseases · 2022Article
- Article
- Spatio-temporal patterns of lumpy skin disease outbreaks in dairy farms in northeastern Thailand.Frontiers in veterinary science · 2022Article
- The First Lumpy Skin Disease Outbreak in Thailand (2021): Epidemiological Features and Spatio-Temporal Analysis.Frontiers in veterinary science · 2021Article
- Subdistrict-Level Reproductive Number for Foot and Mouth Disease in Cattle in Northern Thailand.Frontiers in veterinary science · 2021Article
- Epidemiology and National Surveillance System for Foot and Mouth Disease in Cattle in Thailand during 2008-2019.Veterinary sciences · 2020Article
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7 authors.
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Abstract
backgroundFoot and mouth disease (FMD) is a highly infectious and contagious febrile vesicular disease of cloven-hoofed livestock with high socio-economic consequences globally. In Thailand, FMD is endemic with 183 and 262 outbreaks occurring in the years 2015 and 2016, respectively. In this study, we aimed to assess the spatiotemporal distribution of FMD outbreaks among cattle in Chiang Mai and Lamphun provinces in the northern part of Thailand during the period of 2015-2016. A retrospective space-time scan statistic including a space-time permutation (STP) and the Poisson and Bernoulli models were applied in order to detect areas of high incidence of FMD.
resultsResults have shown that 9 and 8 clusters were identified by the STP model in 2015 and 2016, respectively, whereas 1 and 3 clusters were identified by the Poisson model, and 3 and 4 clusters were detected when the Bernoulli model was applied for the same time period. In 2015, the most likely clusters were observed in Chiang Mai and these had a minimum radius of 1.49 km and a maximum radius of 20 km. Outbreaks were clustered in the period between the months of May and October of 2015. The most likely clusters in 2016 were observed in central Lamphun based on the STP model and in the eastern area of Chiang Mai by the Poisson and Bernoulli models. The cluster size of the STP model (8.51 km) was smaller than those of the Poisson and Bernoulli models (> 20 km). The cluster periods in 2016 were approximately 7 months, while 4 months and 1 month were identified by the Poisson, Bernoulli and STP models respectively.
conclusionsThe application of three models provided more information for FMD outbreak epidemiology. The findings from this study suggest the use of three different space-time scan models for the investigation process of outbreaks along with the follow-up process to identify FMD outbreak clusters. Therefore, active prevention and control strategies should be implemented in the areas that are most susceptible to FMD outbreaks.
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