A community analysis approach to parasite transmission in multi-host systems: Assemblages of small mammal prey and Echinococcus multilocularis in an urban area in North America

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TitreA community analysis approach to parasite transmission in multi-host systems: Assemblages of small mammal prey and Echinococcus multilocularis in an urban area in North America
Type de publicationJournal Article
Year of Publication2019
AuteursMori K, Liccioli S, Marceau D, Massolo A
JournalINTERNATIONAL JOURNAL FOR PARASITOLOGY-PARASITES AND WILDLIFE
Volume9
Pagination49-55
Date PublishedAUG
Type of ArticleArticle
ISSN2213-2244
Mots-clésCommunity analysis, community ecology, Echinococcus multilocularis, epidemiology, Small mammals, Trophically transmitted parasite with complex life cycle, Urban parks
Résumé

Background: Echinococcus multilocularis (Em) is a parasite with a complex life cycle whose transmission involves a predator-prey interaction. Accidental ingestion of Em eggs by humans may cause alveolar echinococcosis, a potentially fatal disease. Although previous research suggested that the composition of the assemblage of prey species may play a key role in the transmission, the relation between Em presence and the prey assemblages has never been analyzed. Herein, we propose a community analysis approach, based on assemblage similarity statistics, clustering, non-metric dimensional scaling and GLM modelling to analyze the relationships between small mammal assemblages, environmental variables, and the prevalence of Em in intermediate and definitive hosts in an urban area. Results: In our study areas within the City of Calgary, Alberta (Canada), we identified three main small mammal assemblages associated with different prevalence of Em, characterized by a different proportion of species known to be good intermediate hosts for Em. As expected, assemblages with higher proportion of species susceptible to Em were observed with higher prevalence of parasite, whereas the total abundance per se of small mammals was not a predictor of transmission likely due to dilution effect. Furthermore, these assemblages were also predicted by simple environmental proxies such as land cover and terrain. Conclusions: Our results indicated that the use of a community analysis approach allows for robust characterization of these complex and multivariate relationships, and may offer a promising tool for further understanding of parasite epidemiology in complex multi-host systems. In addition, this analysis indicates that it is possible to predict potential foci of disease risk within urban areas using environmental data commonly available to city planners and land managers.

DOI10.1016/j.ijppaw.2019.03.012