About: Spatial patterns of Bovine Corona Virus and Bovine Respiratory Syncytial Virus in the Swedish beef cattle population

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About: Spatial patterns of Bovine Corona Virus and Bovine Respiratory Syncytial Virus in the Swedish beef cattle population Goto Sponge NotDistinct Permalink

An Entity of Type : schema:ScholarlyArticle, within Data Space : wasabi.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Spatial patterns of Bovine Corona Virus and Bovine Respiratory Syncytial Virus in the Swedish beef cattle population
Creator	Alenius, Stefan Frössling, Jenny Björkman, Camilla Beaudeau, Francois
Source	Medline; PMC
abstract	BACKGROUND: Both bovine coronavirus (BCV) and bovine respiratory syncytial virus (BRSV) infections are currently wide-spread in the Swedish dairy cattle population. Surveys of antibody levels in bulk tank milk have shown very high nationwide prevalences of both BCV and BRSV, with large variations between regions. In the Swedish beef cattle population however, no investigations have yet been performed regarding the prevalence and geographical distribution of BCV and BRSV. A cross-sectional serological survey for BCV and BRSV was carried out in Swedish beef cattle to explore any geographical patterns of these infections. METHODS: Blood samples were collected from 2,763 animals located in 2,137 herds and analyzed for presence of antibodies to BCV and BRSV. Moran's I was calculated to assess spatial autocorrelation, and identification of geographical cluster was performed using spatial scan statistics. RESULTS: Animals detected positive to BCV or BRSV were predominately located in the central-western and some southern parts of Sweden. Moran's I indicated global spatial autocorrelation. BCV and BRSV appeared to be spatially related: two areas in southern Sweden (Skaraborg and Skåne) had a significantly higher prevalence of BCV (72.5 and 65.5% respectively); almost the same two areas were identified as being high-prevalence clusters for BRSV (69.2 and 66.8% respectively). An area in south-east Sweden (Kronoberg-Blekinge) had lower prevalences for both infections than expected (23.8 and 20.7% for BCV and BRSV respectively). Another area in middle-west Sweden (Värmland-Dalarna) had also a lower prevalence for BRSV (7.9%). Areas with beef herd density > 10 per 100 km(2 )were found to be at significantly higher risk of being part of high-prevalence clusters. CONCLUSION: These results form a basis for further investigations of between-herds dynamics and risk factors for these infections in order to design effective control strategies.
has issue date	2010-05-21(xsd:dateTime)
bibo:doi	10.1186/1751-0147-52-33
bibo:pmid	20492637
has license	cc-by
sha1sum (hex)	31f9d7bce1db40d866a3e93b06ff9515c34fc3b7
schema:url	https://doi.org/10.1186/1751-0147-52-33
resource representing a document's title	Spatial patterns of Bovine Corona Virus and Bovine Respiratory Syncytial Virus in the Swedish beef cattle population
has PubMed Central identifier	PMC2898781
has PubMed identifier	20492637
schema:publication	Acta Vet Scand
resource representing a document's body	covid:31f9d7bce1db40d866a3e93b06ff9515c34fc3b7#body_text
is schema:about of	named entity 'geographical' named entity 'nationwide' named entity 'bovine' named entity 'Swedish' named entity 'Bovine' named entity 'Open Access' named entity 'Corona' named entity 'Bovine' named entity 'HAVE' named entity 'VERY HIGH' named entity 'PATTERNS' named entity 'BCV' named entity 'CARRIED' named entity 'WIDE' named entity 'BOVINE CORONAVIRUS' named entity 'TANK' named entity 'POPULATION' named entity 'VARIATIONS' named entity 'GEOGRAPHICAL' named entity 'SURVEY' named entity 'MILK' named entity 'CURRENTLY' named entity 'CROSS-SECTIONAL' named entity 'ANTIBODY' named entity 'BULK' named entity 'PREVALENCES' named entity 'PERFORMED' named entity 'SWEDISH' named entity 'INFECTIONS' named entity 'SURVEYS' named entity 'SPREAD' named entity 'BOVINE' named entity 'POPULATION' named entity 'VIRUS' named entity 'CORONA' named entity 'RESEARCH' named entity 'ACCESS' named entity 'OPEN' named entity 'BEEF CATTLE' named entity 'REGIONS' named entity 'BRSV' named entity 'BEEF CATTLE' named entity 'SWEDISH' named entity 'BACKGROUND' named entity 'PATTERNS' named entity 'LARGE' named entity 'SPATIAL' named entity 'BOVINE RESPIRATORY SYNCYTIAL VIRUS' named entity 'INVESTIGATIONS' named entity 'PREVALENCE' named entity 'SEROLOGICAL' named entity 'BOVINE RESPIRATORY SYNCYTIAL VIRUS' named entity 'THESE' named entity 'DAIRY CATTLE' named entity 'GEOGRAPHICAL DISTRIBUTION' named entity 'LEVELS' covid:arg/31f9d7bce1db40d866a3e93b06ff9515c34fc3b7 named entity 'geographical' named entity 'beef cattle' named entity 'infections' named entity 'infections' named entity 'beef cattle' named entity 'population' named entity 'bulk tank' named entity 'beef cattle' named entity 'Bovine' named entity 'infectious diseases' named entity 'beef cattle' named entity 'Skaraborg' named entity 'spatial analyses' named entity 'dairy cattle' named entity 'Skaraborg' named entity 'enteric disease' named entity '450 nm' named entity 'risk factor' named entity 'antibodies' named entity 'beef' named entity 'postal codes'

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