Hostname: page-component-8448b6f56d-jr42d Total loading time: 0 Render date: 2024-04-19T14:03:24.157Z Has data issue: false hasContentIssue false

Spatial distribution patterns of Echinococcus multilocularis (Leuckart 1863) (Cestoda: Cyclophyllidea: Taeniidae) among red foxes in an endemic focus in Brandenburg, Germany

Published online by Cambridge University Press:  01 February 1998

K. TACKMANN
Affiliation:
Institute for Epidemiological Diagnostics, Federal Research Centre for Virus Diseases of Animals, D-16868 Wusterhausen, Germany
U. LÖSCHNER
Affiliation:
Institute for Epidemiological Diagnostics, Federal Research Centre for Virus Diseases of Animals, D-16868 Wusterhausen, Germany
H. MIX
Affiliation:
Institute for Epidemiological Diagnostics, Federal Research Centre for Virus Diseases of Animals, D-16868 Wusterhausen, Germany
C. STAUBACH
Affiliation:
Institute for Epidemiology, Federal Research Centre for Virus Diseases of Animals, D-16868 Wusterhausen, Germany
H.-H. THULKE
Affiliation:
Institute for Epidemiology, Federal Research Centre for Virus Diseases of Animals, D-16868 Wusterhausen, Germany
F. J. CONRATHS
Affiliation:
Institute for Epidemiological Diagnostics, Federal Research Centre for Virus Diseases of Animals, D-16868 Wusterhausen, Germany
Rights & Permissions [Opens in a new window]

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

Over a period of 40 months, 4374 foxes were randomly sampled from an area located in northwestern Brandenburg, Germany, and examined parasitologically for infections with Echinococcus multilocularis. Spatial analysis of the origin of infected animals identified two (one central and one southeastern) high-endemic foci with an estimated prevalence of 23·8%. By contrast, a prevalence of 4·9% was found in the remaining (low-endemic) area. The prevalences among juvenile and adult foxes were compared in the high-endemic and the low-endemic areas. To analyse the central high-endemic focus further, the random sample was stratified by zones representing concentric circles with a radius of 13 km (zone 1) or xn−1+7 km for the remaining three zones from the apparent centre of this focus (anchor point). Prevalences calculated for each zone showed a decrease from zone 1 (18·8%) to zone 4 (2·4%) with significant differences for all zones but zones 3 and 4. The relative risk of an infection decreased rapidly in a distance range of 26 km around the high-endemic focus, whereas the relative risk remained unchanged within a distance of 5 km around the anchor point. The importance of heterogeneous spatial distribution patterns for the diagnosis and epidemiology of the infection is discussed.

Type
Research Article
Copyright
© 1998 Cambridge University Press