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Predicting risk habitats for the transmission of the small liver fluke, Dicrocoelium dendriticum to grazing ruminants.
Linnaeus University, Faculty of Science and Engineering, School of Natural Sciences. (Akvatisk ekologi)ORCID iD: 0000-0003-1425-2236
Linnaeus University, Faculty of Science and Engineering, School of Natural Sciences. (Section for Zoonotic Ecology and Epidemiology)
School of Life Sciences, Södertörn University.
Clinical Bacteriology, Dept of Medical Sciences, Uppsala University.
2011 (English)In: Geospatial Health, ISSN 1827-1987, Vol. 6, no 1, p. 125-131Article in journal (Refereed) Published
Abstract [en]

A multiple regression model was used to analyse if the structure of vegetation and soil patches in grazed units (pastures) can be used as explanatory variables to predict the prevalence of Dicrocoelium dendriticum, a common parasite of cattle and sheep, in grazing cattle stocks on the Baltic island of Öland in southern Sweden.

The scale dependency was evaluated by comparing three levels of spatial resolution of patches. Prevalence data were obtained from slaughtered animals.

Our models predict that the prevalence of D. dendriticum increases in grazed areas with woody vegetation, whereas moist and wet areas decrease parasite prevalence. The predictive power of the statistical models increased with increasing level of patch resolution. Approximately 42% of the variation in parasite prevalence (angular transformation) was explained by the areal proportion of vegetation types (4th-root-transformed).

Based on the results obtained, we believe that our model strategy provides a rational and systematic tool to identify habitats that carry risk for D. dendriticum infection of ruminants, and that it can be applied to other parasites with similar life cycles such as Fasciola hepatica.

Place, publisher, year, edition, pages
Naples, Italy: Global Network for Geospatial Health , 2011. Vol. 6, no 1, p. 125-131
Keywords [sv]
Öland, liten leverflundra, vegetationstyper, parasitöverföring, riskhabitat
National Category
Natural Sciences Ecology
Research subject
Ecology, Aquatic Ecology; Ecology, Zoonotic Ecology
Identifiers
URN: urn:nbn:se:lnu:diva-16032OAI: oai:DiVA.org:lnu-16032DiVA, id: diva2:463854
Available from: 2011-12-12 Created: 2011-12-12 Last updated: 2019-02-26Bibliographically approved

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CiteExportLink to record
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Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
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Language
  • de-DE
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  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
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