Modelling the spatial distribution of Echinococcus multilocularis infection in foxes

Autor: Philip S. Craig, Patrick Giraudoux, F. M. Danson, A.J. Graham, François-Pierre Tourneux, David Pleydell, Francis Raoul
Přispěvatelé: Laboratoire Chrono-environnement ( LCE ), Université Bourgogne Franche-Comté ( UBFC ) -Centre National de la Recherche Scientifique ( CNRS ) -Université de Franche-Comté ( UFC ), Théoriser et modéliser pour aménager ( ThéMA ), Université de Bourgogne ( UB ) -Centre National de la Recherche Scientifique ( CNRS ) -Université de Franche-Comté ( UFC ), Maison des Sciences de l'Homme et de l'Environnement Claude Nicolas Ledoux ( MSHE ), Centre National de la Recherche Scientifique ( CNRS ) -Université de Franche-Comté ( UFC ), Centre for Environmental Systems Research, University of Salford, Biomedical Sciences Research Institute, Laboratoire Chrono-environnement - CNRS - UBFC (UMR 6249) (LCE), Centre National de la Recherche Scientifique (CNRS)-Université de Franche-Comté (UFC), Université Bourgogne Franche-Comté [COMUE] (UBFC)-Université Bourgogne Franche-Comté [COMUE] (UBFC), Théoriser et modéliser pour aménager (UMR 6049) (ThéMA), Université de Franche-Comté (UFC), Université Bourgogne Franche-Comté [COMUE] (UBFC)-Université Bourgogne Franche-Comté [COMUE] (UBFC)-Centre National de la Recherche Scientifique (CNRS)-Université de Bourgogne (UB), Maison des Sciences de l'Homme et de l'Environnement Claude Nicolas Ledoux (MSHE), Université Bourgogne Franche-Comté [COMUE] (UBFC)-Université Bourgogne Franche-Comté [COMUE] (UBFC)-Centre National de la Recherche Scientifique (CNRS)
Jazyk: angličtina
Rok vydání: 2004
Předmět:
Range (biology)
Foxes
MESH: Echinococcus
MESH : Models
Biological
MESH : Echinococcosis
Grassland
030308 mycology & parasitology
Rodent Diseases
Feces
0302 clinical medicine
Mass Screening
MESH : Echinococcus
MESH: Animals
MESH : Animals
Wild
[SDV.EE]Life Sciences [q-bio]/Ecology
environment
0303 health sciences
education.field_of_study
geography.geographical_feature_category
Ecology
MESH: Enzyme-Linked Immunosorbent Assay
MESH: Feces
food and beverages
MESH : Rodent Diseases
MESH : Enzyme-Linked Immunosorbent Assay
Infectious Diseases
Habitat
Space-Time Clustering
France
MESH: Ecology
Veterinary (miscellaneous)
Home range
030231 tropical medicine
Population
Animals
Wild
Enzyme-Linked Immunosorbent Assay
Biology
Spatial distribution
Echinococcus multilocularis
Models
Biological
MESH : Antigens
Helminth
MESH: Antigens
Helminth
[ SDV.EE ] Life Sciences [q-bio]/Ecology
environment
03 medical and health sciences
MESH: Echinococcosis
Echinococcosis
MESH : Space-Time Clustering
parasitic diseases
Animals
MESH: Animals
Wild
MESH: Mass Screening
education
MESH : France
MESH : Mass Screening
MESH : Foxes
geography
MESH: Foxes
MESH: Space-Time Clustering
MESH: Models
Biological
Outbreak
MESH : Feces
biology.organism_classification
Echinococcus
MESH: France
MESH : Ecology
Insect Science
Antigens
Helminth
Parasitology
MESH: Rodent Diseases
MESH : Animals
ECHINOCOCCUS MULTILOCULARIS
Zdroj: Acta Tropica
Acta Tropica, Elsevier, 2004, 91 (3), pp.253-65. 〈10.1016/j.actatropica.2004.05.004〉
Acta Tropica, Elsevier, 2004, 91 (3), pp.253-65. ⟨10.1016/j.actatropica.2004.05.004⟩
ISSN: 0001-706X
DOI: 10.1016/j.actatropica.2004.05.004〉
Popis: International audience; Alveolar echinococcosis is a rare but fatal disease in humans and is caused by the fox tapeworm Echinococcus multilocularis. The densities of fox and grassland rodent populations and the interactions between them influence E. multilocularis transmission rates in Europe. Successful rabies control has caused fox populations and E. multilocularis prevalence rates to increase in many European countries. The potential increase of the infection pressure on the human population motivates the monitoring of the infection status of foxes over space and time. Detection of E. multilocularis antigen levels in fox faecal samples collected in the field might provide a pragmatic methodology for epidemiological surveillance of the infection status in wildlife hosts across large areas, as well as providing an indication of the spatial distribution of infected faeces contaminating the environment. In this paper, a spatial analysis of antigen levels detected in faeces collected in the Franche-Comt?egion of eastern France is presented. In Franche-Comt?rodent outbreaks have been observed to originate in areas rich in grassland. Spatial trends in fox infection levels were modelled here as a function of the composition ratio of grassland in the landscape derived from the CORINE land-cover map. Kriging models incorporating the grassland trend term were compared to a variety of models in which five alternative trend expressions were used: the alternative trend expressions included linear and quadratic polynomials on the x and y coordinates with and without a grassland term, and a constant mean model. Leave-one-out cross-validation indicated that the estimation errors of kriging with a trend models were significantly lower when the trend expression contained the grassland index term only. The relationship between observed and predicted antigen levels was strongest when the estimated range of autocorrelation was within the home range size of a single fox. The over-dispersion of E. multilocularis in foxes may therefore account for the majority of spatial autocorrelation locally, while regional trends can be successfully modelled as a function of habitat availability for intermediate hosts.
Databáze: OpenAIRE
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