Environmental risk mapping of canine leishmaniasis in France
Open Access
- 8 April 2010
- journal article
- research article
- Published by Springer Nature in Parasites & Vectors
- Vol. 3 (1) , 31
- https://doi.org/10.1186/1756-3305-3-31
Abstract
Background: Canine leishmaniasis (CanL) is a zoonotic disease caused byLeishmania infantum, a Trypanosomatid protozoan transmitted by phlebotomine sandflies. Leishmaniasis is endemic in southern France, but the influences of environmental and climatic factors on its maintenance and emergence remain poorly understood. From a retrospective database, including all the studies reporting prevalence or incidence of CanL in France between 1965 and 2007, we performed a spatial analysis in order to i) map the reported cases in France, and ii) produce an environment-based map of the areas at risk for CanL. We performed a Principal Component Analysis (PCA) followed by a Hierarchical Ascendant Classification (HAC) to assess if the locations of CanL could be grouped according to environmental variables related to climate, forest cover, and human and dog densities. For each group, the potential distribution of CanL in France was mapped using a species niche modelling approach (Maxent model).Results: Results revealed the existence of two spatial groups of CanL cases. The first group is located in the Cévennes region (southern Massif Central), at altitudes of 200-1000 m above sea level, characterized by relatively low winter temperatures (1.9°C average), 1042 mm average annual rainfall and much forest cover. The second group is located on the Mediterranean coastal plain, characterized by higher temperatures, lower rainfall and less forest cover. These two groups may correspond to the environments favoured by the two sandfly vectors in France,Phlebotomus ariasiandPhlebotomus perniciosusrespectively. Our niche modelling of these two eco-epidemiological patterns was based on environmental variables and led to the first risk map for CanL in France.Conclusion: Results show how an ecological approach can help to improve our understanding of the spatial distribution of CanL in France.This publication has 16 references indexed in Scilit:
- The Potential Effects of Global Warming on Changes in Canine Leishmaniasis in a Focus outside the Classical Area of the Disease in Southern FranceVector-Borne and Zoonotic Diseases, 2009
- Climate change: impact on the epidemiology and control of animal diseases. Introduction.2008
- A comparative evaluation of presence‐only methods for modelling species distributionDiversity and Distributions, 2007
- Novel methods improve prediction of species’ distributions from occurrence dataEcography, 2006
- Maximum entropy modeling of species geographic distributionsEcological Modelling, 2006
- Répartition géographique des leishmaniosesMedecine Et Maladies Infectieuses, 2001
- DOMAIN: a flexible modelling procedure for mapping potential distributions of plants and animalsBiodiversity and Conservation, 1993
- An inductive modelling procedure based on Bayes' theorem for analysis of pattern in spatial dataInternational Journal of Geographical Information Science, 1992
- A biogeoclimatic analysis of Nothofagus cunninghamii (Hook.) Oerst. in southeastern AustraliaAustralian Journal of Ecology, 1986
- La leishmaniose cutanée autochtone dans le Sud-Est de la France. Résultats d'une enquête éco-épidémiologique dans les Pyrénées-OrientalesMedecine Et Maladies Infectieuses, 1985