Impact of meteorological and environmental factors on the spatial distribution of Fasciola hepatica in beef cattle herds in Sweden.
Identifieur interne : 000138 ( Main/Exploration ); précédent : 000137; suivant : 000139Impact of meteorological and environmental factors on the spatial distribution of Fasciola hepatica in beef cattle herds in Sweden.
Auteurs : Adam Novobilsk [Suède] ; Jakub Novák [Estonie] ; Camilla Björkman [Suède] ; Johan Höglund [Suède]Source :
- BMC veterinary research [ 1746-6148 ] ; 2015.
Descripteurs français
- Wicri :
- geographic : Suède.
English descriptors
- KwdEn :
- MESH :
- geographic , epidemiology : Sweden.
- epidemiology : Cattle Diseases, Fascioliasis.
- parasitology : Cattle Diseases.
- veterinary : Fascioliasis.
- Animals, Cattle, Environment, Weather.
Abstract
Fasciola hepatica is a parasite with a significant impact on ruminant livestock production. Previous studies in north-west Europe have described its geographical distribution and determined potential predictors of fasciolosis using geographical information system (GIS) and regression modelling. In Sweden, however, information about the distribution of fasciolosis is limited. This study examined the geographical distribution of F. hepatica and identified high-risk areas for beef cattle in Sweden and sought to characterise potential predictors. Beef cattle serum samples were collected during winter 2006-2007 from 2135 herds which were examined for F. hepatica antibodies by enzyme-linked immunosorbent assay (ELISA). Fasciolosis distribution maps were created using GIS based on postcode location of seropositive herds. Spatial scan analysis (SaTScan) was performed to determine high-risk areas. Using datasets on animal density, temperature, precipitation and Corine land cover data, including soil type and soil mineral concentrations in Sweden, bivariate and multiple logistic regression analyses were carried out in R software to reveal potential predictors of F. hepatica infection.
DOI: 10.1186/s12917-015-0447-0
PubMed: 26054940
Affiliations:
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Le document en format XML
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Novobilsk</name><affiliation wicri:level="1"><nlm:affiliation>Department of Biomedical Sciences and Veterinary Public Health, Section for Parasitology, Swedish University of Agricultural Sciences (SLU), Box 7036, 75007, Uppsala, Sweden. adam.novobilsky@slu.se.</nlm:affiliation><country xml:lang="fr">Suède</country><wicri:regionArea>Department of Biomedical Sciences and Veterinary Public Health, Section for Parasitology, Swedish University of Agricultural Sciences (SLU), Box 7036, 75007, Uppsala</wicri:regionArea><wicri:noRegion>Uppsala</wicri:noRegion></affiliation></author><author><name sortKey="Novak, Jakub" sort="Novak, Jakub" uniqKey="Novak J" first="Jakub" last="Novák">Jakub Novák</name><affiliation wicri:level="1"><nlm:affiliation>Department of Geography, Tartu University, Vanemuise 46, 51 014, Tartu, Estonia.</nlm:affiliation><country xml:lang="fr">Estonie</country><wicri:regionArea>Department of Geography, Tartu University, Vanemuise 46, 51 014, 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Previous studies in north-west Europe have described its geographical distribution and determined potential predictors of fasciolosis using geographical information system (GIS) and regression modelling. In Sweden, however, information about the distribution of fasciolosis is limited. This study examined the geographical distribution of F. hepatica and identified high-risk areas for beef cattle in Sweden and sought to characterise potential predictors. Beef cattle serum samples were collected during winter 2006-2007 from 2135 herds which were examined for F. hepatica antibodies by enzyme-linked immunosorbent assay (ELISA). Fasciolosis distribution maps were created using GIS based on postcode location of seropositive herds. Spatial scan analysis (SaTScan) was performed to determine high-risk areas. Using datasets on animal density, temperature, precipitation and Corine land cover data, including soil type and soil mineral concentrations in Sweden, bivariate and multiple logistic regression analyses were carried out in R software to reveal potential predictors of F. hepatica infection.</div></front></TEI><affiliations><list><country><li>Estonie</li><li>Suède</li></country></list><tree><country name="Suède"><noRegion><name sortKey="Novobilsk, Adam" sort="Novobilsk, Adam" uniqKey="Novobilsk A" first="Adam" last="Novobilsk">Adam Novobilsk</name></noRegion><name sortKey="Bjorkman, Camilla" sort="Bjorkman, Camilla" uniqKey="Bjorkman C" first="Camilla" last="Björkman">Camilla Björkman</name><name sortKey="Hoglund, Johan" sort="Hoglund, Johan" uniqKey="Hoglund J" first="Johan" last="Höglund">Johan Höglund</name></country><country name="Estonie"><noRegion><name sortKey="Novak, Jakub" sort="Novak, Jakub" uniqKey="Novak J" first="Jakub" last="Novák">Jakub Novák</name></noRegion></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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