Seasonality of infection of cattle with bluetongue viruses

Mp, Ward

doi:10.1016/0167-5877(95)00525-0

Cited by 6 publications

(3 citation statements)

References 15 publications

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“…Therefore, this study performed a comprehensive analysis using a scan ratio of 10–50% and found that the outbreak of BT in France from 2015 to 2018 was mainly concentrated in the south, and the time was concentrated from August to December. This result was consistent with the studies of Courtejoie ( 40 ) and Ward ( 41 ). BT gradually spread to southern France after the outbreak in 2007, and the infection of BTV was seasonal (in autumn and winter).…”

Section: Discussionsupporting

confidence: 93%

Spatio-temporal and trade export risk analysis of bluetongue disease in France: A case study of China

et al. 2022

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Bluetongue disease (BT) is a viral disease that can be introduced through imported animals and animal products, affecting local animal husbandry. In this study, the spatial and temporal patterns of BT outbreaks (outbreak: a BT infection in cattle, sheep, or goats on a farm, involving at least one infected animal) in France were analyzed and the risk of introducing bluetongue virus (BTV) into countries through trade was assessed. A spatiotemporal analysis of BT reported during the study period (2015–2018) showed that there were clustered outbreaks of BT in France in 2016 and 2017, with outbreaks concentrated from August to December. The outbreak moved eastward from the center of mainland France to surrounding countries. A semi-quantitative risk analysis framework was established by combining the likelihood assessment and consequence analysis of introducing BTV into trading countries through trade. Exemplified by China, the research showed that in the analysis of the likelihood of BTV from France being introduced into trading countries through live cattle trade, China imports a large number of live cattle, bringing high risks. The likelihood of introducing bovine semen into trading countries was similar to that of live cattle, but the harm caused by the trade in live cattle was higher than that caused by the trade in bovine semen. This risk analysis framework can provide a reference for other countries to quickly assess the risk of bluetongue transmission in import and export trade.

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Section: Discussionsupporting

confidence: 93%

Spatio-temporal and trade export risk analysis of bluetongue disease in France: A case study of China

et al. 2022

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“…Moreover, a decrease in the variation coefficient of precipitation seasonality resulted in lower risk of BTV presence. Seasonality of BTV occurrence has been investigated, and the infection regularity in different seasons was observed (Ward, 1996). In this study, the relationship between precipitation seasonality and BTV occurrence may be influenced by the extremely arid climate throughout a whole year in Xinjiang Province.…”

Section: Discussionmentioning

confidence: 99%

Epidemiology and spatial distribution of bluetongue virus in Xinjiang, China

Gao

Liu

et al. 2019

PeerJ

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Bluetongue (BT) is a non-contagious disease affecting domestic and wild ruminants. Outbreaks of BT can cause serious economic losses. To investigate the distribution characteristics of bluetongue virus (BTV), two large-scale censuses of BTV prevalence in Xinjiang, China were collected. Spatial autocorrelation analysis, including global spatial autocorrelation and local spatial autocorrelation, was performed. Risk areas for BTV occurrence in Xinjiang were detected using the presence-only maximum entropy model. The global spatial autocorrelation of BTV distribution in Xinjiang in 2012 showed a random pattern. In contrast, the spatial distribution of BTV from 2014 to 2015 was significantly clustered. The hotspot areas for BTV infection included Balikun County (p < 0.05), Yiwu County (p < 0.05) and Hami City (p < 0.05) in 2012. These three regions were also hotspot areas during 2014 and 2015. Sheep distribution (25.6% contribution), precipitation seasonality (22.1% contribution) and mean diurnal range (16.2% contribution) were identified as the most important predictors for BTV occurrence in Xinjiang. This study demonstrated the presence of high-risk areas for BTV infection in Xinjiang, which can serve as a tool to aid in the development of preventative countermeasures of BT outbreaks.

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“…In Australia, C. actoni Smith, C. brevitarsis Kieffer, C. fulvus Sen and Das Gupta are proven vectors of BTV and several others including C. brevipalpis Delfinado, C. dumdumi Sen and Das Gupta C. oxystoma Kieffer, C. peregrinus Kieffer and C. wadai Kitaoka are regarded as potential vectors [ 3 , 4 ]. Of these species, C. brevitarsis is the most widely distributed throughout northern and eastern parts of the continent [ 5 , 6 ], and is considered to be the major vector, employing cattle and buffalo dung as breeding sites [ 4 , 7 ].…”

Section: Introductionmentioning

confidence: 99%

Assessment of population genetic structure in the arbovirus vector midge, Culicoides brevitarsis (Diptera: Ceratopogonidae), using multi-locus DNA microsatellites

Onyango

Beebe

Gopurenko³

et al. 2015

Vet Res

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Bluetongue virus (BTV) is a major pathogen of ruminants that is transmitted by biting midges (Culicoides spp.). Australian BTV serotypes have origins in Asia and are distributed across the continent into two distinct episystems, one in the north and another in the east. Culicoides brevitarsis is the major vector of BTV in Australia and is distributed across the entire geographic range of the virus. Here, we describe the isolation and use of DNA microsatellites and gauge their ability to determine population genetic connectivity of C. brevitarsis within Australia and with countries to the north. Eleven DNA microsatellite markers were isolated using a novel genomic enrichment method and identified as useful for genetic analyses of sampled populations in Australia, northern Papua New Guinea (PNG) and Timor-Leste. Significant (P < 0.05) population genetic subdivision was observed between all paired regions, though the highest levels of genetic sub-division involved pair-wise tests with PNG (PNG vs. Australia (FST = 0.120) and PNG vs. Timor-Leste (FST = 0.095)). Analysis of multi-locus allelic distributions using STRUCTURE identified a most probable two-cluster population model, which separated PNG specimens from a cluster containing specimens from Timor-Leste and Australia. The source of incursions of this species in Australia is more likely to be Timor-Leste than PNG. Future incursions of BTV positive C. brevitarsis into Australia may be genetically identified to their source populations using these microsatellite loci. The vector’s panmictic genetic structure within Australia cannot explain the differential geographic distribution of BTV serotypes.Electronic supplementary materialThe online version of this article (doi:10.1186/s13567-015-0250-8) contains supplementary material, which is available to authorized users.

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Seasonality of infection of cattle with bluetongue viruses

Cited by 6 publications

References 15 publications

Spatio-temporal and trade export risk analysis of bluetongue disease in France: A case study of China

Spatio-temporal and trade export risk analysis of bluetongue disease in France: A case study of China

Epidemiology and spatial distribution of bluetongue virus in Xinjiang, China

Assessment of population genetic structure in the arbovirus vector midge, Culicoides brevitarsis (Diptera: Ceratopogonidae), using multi-locus DNA microsatellites

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