2004
DOI: 10.1016/j.actatropica.2004.05.004
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Modelling the spatial distribution of Echinococcus multilocularis infection in foxes

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Cited by 49 publications
(35 citation statements)
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“…Thus, red fox densities in the westernmost part of the study area, which was affected by the epidemic of sarcoptic mange since 1997, decreased by up to 10-fold. Variations in the level of environmental contamination with eggs of E. multilocularis are associated with variations in the density of fox faeces, which is influenced by fox density and social structure (Pleydell et al 2004). A reduction in the number of red foxes has notably been shown to reduce the level of environmental contamination by eggs of E. multilocularis .…”
Section: Discussionmentioning
confidence: 99%
“…Thus, red fox densities in the westernmost part of the study area, which was affected by the epidemic of sarcoptic mange since 1997, decreased by up to 10-fold. Variations in the level of environmental contamination with eggs of E. multilocularis are associated with variations in the density of fox faeces, which is influenced by fox density and social structure (Pleydell et al 2004). A reduction in the number of red foxes has notably been shown to reduce the level of environmental contamination by eggs of E. multilocularis .…”
Section: Discussionmentioning
confidence: 99%
“…This may be due to the decreased availability of voles because of a higher urbanisation, and/or to changes in the foxes' feeding habits. Giraudoux et al (2001), Pleydell et al (2004) and Raoul et al (1999) have emphasised the impact of grassland on transmission dynamics, and Stieger et al (2002) have found evidence of infected A. terrestris in the lawns of urban parks within the city of Zürich. A comparison of the features of green areas and parks in different cities may prove an interesting way to understand how urban planning may impact transmission.…”
Section: Dietary Changes In Red Foxesmentioning
confidence: 99%
“…Kriging is widely used in meteorology in order to interpolate values of climate data from observing stations, and have also been used in veterinary epidemiology to model the distribution of various parasites/diseases, e.g. Ixodes scapularis that transmits Lyme disease (Nicholson and Mather, 1996), malaria (Kleinschmidt et al, 2000), alveolar echinococcosis (Conraths et al, 2003;Pleydell et al, 2004), tsetse flies that transmit human African trypanosomiasis (Sciarretta et al, 2005), Calicophoron daubneyi, the causative agent of paramphistomosis in ruminants (Biggeri et al, 2004), Oncomelania hupensins, the intermediate host snail of Schistosoma japonicum (Zhang et al, 2005), as well as co-infection with S. mansoni and hookworm among schoolchildren in Côte d'Ivoire (Raso et al, 2006).…”
Section: Brief History Of Gis and Rsmentioning
confidence: 99%