ArticleTransboundary and emerging diseases2020
Temporal patterns and space-time cluster analysis of foot-and-mouth disease (FMD) cases from 2007 to 2017 in Vietnam.
Article in Transboundary and emerging diseases, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 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
- Prevalence and Serotype Distribution of Foot and Mouth Disease (FMD) Virus in Asian Countries: A Systematic Review and Meta-Analysis.Veterinary medicine international · 2026Review
- Spatial and temporal epidemiology of FMD in Bhutan (2011-2019).BMC veterinary research · 2025Article
- Article
- Spatiotemporal analysis of foot and mouth disease outbreaks in cattle and small ruminants in Türkiye between 2010 and 2019.Veterinary research communications · 2024Article
- Methods to Estimate the Between-Population Level Effective Reproductive Number for Infectious Disease Epidemics: Foot-And-Mouth Disease (FMD) in Vietnam.Transboundary and emerging diseases · 2024Article
- Socioeconomic and environmental determinants of foot and mouth disease incidence: an ecological, cross-sectional study across Iran using spatial modeling.Scientific reports · 2023Article
- Phylogeography as a Proxy for Population Connectivity for Spatial Modeling of Foot-and-Mouth Disease Outbreaks in Vietnam.Viruses · 2023Article
- 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
- Article
- Spatiotemporal Analysis and Assessment of Risk Factors in Transmission of African Swine Fever Along the Major Pig Value Chain in Lao Cai Province, Vietnam.Frontiers in veterinary science · 2022Article
- Use of Slaughterhouses as Sentinel Points for Genomic Surveillance of Foot-and-Mouth Disease Virus in Southern Vietnam.Viruses · 2021Article
- Temporal patterns and space-time cluster analysis of foot-and-mouth disease (FMD) cases from 2007 to 2017 in Vietnam.Transboundary and emerging diseases · 2020Article
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3 authors.
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Abstract
In Vietnam, Foot-and-mouth disease (FMD) is endemic, but no nationwide studies have been conducted to assess the monthly variations and space-time clusters of FMD. The main objective was to identify the temporal patterns and space-time clusters of FMD from 2007 to 2017 using national surveillance data in Vietnam. A total of 163,733 cases were reported from 2007 to 2017. Among them, the proportion of buffaloes (43.31% of total reported cases; 70,909 cases) was highest followed by cattle (30.11%; 49,306 cases), pigs (26.67%; 43,662 cases) and sheep/goats (0.41%; 675 cases). The serotype O was widely distributed across the country while serotype A was observed in Northeast, Central and Southern part of Vietnam while Asia 1 has been not identified since 2007. For monthly variations, most cases were observed during the dry season (from November to March) except Central Highlands. Under the spatial window was set at 50%, a total of seven clusters were identified. The primary cluster was observed from Dec 2009 to Dec 2010 in the northwest (radius: 101.67 km), showing a ratio of 3.75. The secondary cluster was detected in the northeast region (radius: 76.54 km) with a ratio of 3.53 in Feb 2017. The 3rd cluster was the largest with a radius of 176.69 km and located in the southern part of Vietnam. Interestingly, the most temporal clusters included between December and March during the study period. Our findings provide better insight into the temporal patterns and distribution of clusters of FMD in Vietnam. This study provides useful information to policymakers on the hotspot areas and timing of outbreaks. It also identifies when and where national surveillance and control programmes could be implemented more efficiently for the prevention and control of FMD.
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