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

Identifieur interne : 000537 ( Pmc/Curation ); précédent : 000536; suivant : 000538

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

Auteurs : Francois Beaudeau [France, Suède] ; Camilla Björkman [Suède] ; Stefan Alenius [Suède] ; Jenny Frössling [Suède]

Source :

RBID : PMC:2898781

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 km2 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.


Url:
DOI: 10.1186/1751-0147-52-33
PubMed: 20492637
PubMed Central: 2898781

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PMC:2898781

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<p>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.</p>
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<p>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
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<italic>I </italic>
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<name sortKey="Alenius, S" uniqKey="Alenius S">S Alenius</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Noremark, M" uniqKey="Noremark M">M Nöremark</name>
</author>
<author>
<name sortKey="H Kansson, N" uniqKey="H Kansson N">N Håkansson</name>
</author>
<author>
<name sortKey="Lindstrom, T" uniqKey="Lindstrom T">T Lindström</name>
</author>
<author>
<name sortKey="Wennergren, U" uniqKey="Wennergren U">U Wennergren</name>
</author>
<author>
<name sortKey="Lewerin, Ss" uniqKey="Lewerin S">SS Lewerin</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Norstrom, M" uniqKey="Norstrom M">M Norström</name>
</author>
<author>
<name sortKey="Skjerve, E" uniqKey="Skjerve E">E Skjerve</name>
</author>
<author>
<name sortKey="Jarp, J" uniqKey="Jarp J">J Jarp</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Bidokhti, Mrm" uniqKey="Bidokhti M">MRM Bidokhti</name>
</author>
<author>
<name sortKey="Tr Ven, M" uniqKey="Tr Ven M">M Tråvén</name>
</author>
<author>
<name sortKey="Fall, N" uniqKey="Fall N">N Fall</name>
</author>
<author>
<name sortKey="Emanuelson, U" uniqKey="Emanuelson U">U Emanuelson</name>
</author>
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<name sortKey="Alenius, S" uniqKey="Alenius S">S Alenius</name>
</author>
</analytic>
</biblStruct>
</listBibl>
</div1>
</back>
</TEI>
<pmc article-type="research-article">
<pmc-dir>properties open_access</pmc-dir>
<front>
<journal-meta>
<journal-id journal-id-type="nlm-ta">Acta Vet Scand</journal-id>
<journal-title-group>
<journal-title>Acta Veterinaria Scandinavica</journal-title>
</journal-title-group>
<issn pub-type="ppub">0044-605X</issn>
<issn pub-type="epub">1751-0147</issn>
<publisher>
<publisher-name>BioMed Central</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="pmid">20492637</article-id>
<article-id pub-id-type="pmc">2898781</article-id>
<article-id pub-id-type="publisher-id">1751-0147-52-33</article-id>
<article-id pub-id-type="doi">10.1186/1751-0147-52-33</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Research</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Spatial patterns of Bovine Corona Virus and Bovine Respiratory Syncytial Virus in the Swedish beef cattle population</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes" id="A1">
<name>
<surname>Beaudeau</surname>
<given-names>Francois</given-names>
</name>
<xref ref-type="aff" rid="I1">1</xref>
<xref ref-type="aff" rid="I2">2</xref>
<xref ref-type="aff" rid="I3">3</xref>
<xref ref-type="aff" rid="I4">4</xref>
<email>francois.beaudeau@oniris-nantes.fr</email>
</contrib>
<contrib contrib-type="author" id="A2">
<name>
<surname>Björkman</surname>
<given-names>Camilla</given-names>
</name>
<xref ref-type="aff" rid="I4">4</xref>
<email>Camilla.Bjorkman@kv.slu.se</email>
</contrib>
<contrib contrib-type="author" id="A3">
<name>
<surname>Alenius</surname>
<given-names>Stefan</given-names>
</name>
<xref ref-type="aff" rid="I4">4</xref>
<email>Stefan.Alenius@kv.slu.se</email>
</contrib>
<contrib contrib-type="author" id="A4">
<name>
<surname>Frössling</surname>
<given-names>Jenny</given-names>
</name>
<xref ref-type="aff" rid="I5">5</xref>
<email>jenny.frossling@sva.se</email>
</contrib>
</contrib-group>
<aff id="I1">
<label>1</label>
ONIRIS, UMR 1300 Bioagression, Epidémiologie et Analyse de Risque, BP 40706, F-44307, Nantes, France</aff>
<aff id="I2">
<label>2</label>
INRA, UMR 1300 Bioagression, Epidémiologie et Analyse de Risque, BP 40706, F-44307, Nantes, France</aff>
<aff id="I3">
<label>3</label>
Université Nantes Angers Le Mans, Nantes, France</aff>
<aff id="I4">
<label>4</label>
Department of Clinical Sciences, Swedish University of Agricultural Sciences, PO Box 7054, SE-750 07, Uppsala, Sweden</aff>
<aff id="I5">
<label>5</label>
Department of Disease Control and Epidemiology, National Veterinary Institute (SVA), SE-751 89 Uppsala, Sweden</aff>
<pub-date pub-type="collection">
<year>2010</year>
</pub-date>
<pub-date pub-type="epub">
<day>21</day>
<month>5</month>
<year>2010</year>
</pub-date>
<volume>52</volume>
<issue>1</issue>
<fpage>33</fpage>
<lpage>33</lpage>
<history>
<date date-type="received">
<day>29</day>
<month>3</month>
<year>2010</year>
</date>
<date date-type="accepted">
<day>21</day>
<month>5</month>
<year>2010</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright ©2010 Beaudeau et al; licensee BioMed Central Ltd.</copyright-statement>
<copyright-year>2010</copyright-year>
<copyright-holder>Beaudeau et al; licensee BioMed Central Ltd.</copyright-holder>
<license license-type="open-access" xlink:href="http://creativecommons.org/licenses/by/2.0">
<license-p>This is an Open Access article distributed under the terms of the Creative Commons Attribution License (
<ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/licenses/by/2.0">http://creativecommons.org/licenses/by/2.0</ext-link>
), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
</license>
</permissions>
<self-uri xlink:href="http://www.actavetscand.com/content/52/1/33"></self-uri>
<abstract>
<sec>
<title>Background</title>
<p>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.</p>
</sec>
<sec>
<title>Methods</title>
<p>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
<italic>I </italic>
was calculated to assess spatial autocorrelation, and identification of geographical cluster was performed using spatial scan statistics.</p>
</sec>
<sec>
<title>Results</title>
<p>Animals detected positive to BCV or BRSV were predominately located in the central-western and some southern parts of Sweden. Moran's
<italic>I </italic>
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
<sup>2 </sup>
were found to be at significantly higher risk of being part of high-prevalence clusters.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>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.</p>
</sec>
</abstract>
</article-meta>
</front>
</pmc>
</record>

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