Aug 10, 2016

A comparison of Species Distribution Modeling approaches for an under-sampled parasite of public health importance, Echinococcus multilocularis.

BioRxiv : the Preprint Server for Biology
Heather M WilliamsKatharina Dittmar

Abstract

Background: Species distribution models (SDMs) have an important role in predicting the range of emerging and understudied pathogens and parasites. Their use, however, is often limited by the lack of high-resolution unbiased occurrence records. Echinococcus multilocularis is a parasitic cestode of public health importance which is widely distributed throughout Eurasia and is considered an emerging threat in North America. In common with many parasite species, available data for E. multilocularis occurrence are spatially biased and often poorly geo-referenced. Results: Here we produce three separate SDMs using MaxEnt for E. multilocularis using varying complexities of sampling schemes and environmental predictors, designed to make the best possible use of non-ideal occurrence data. The most realistic model utilized both derived and basic climatic predictors; an occurrence sampling scheme which relied primarily on high resolution occurrences from the literature and a bias grid to compensate for an apparently uneven research effort. All models predicted extensive regions of high suitability for E. multilocularis in North America, where the parasite is poorly studied and not currently under coordinated surveillance. Conclusions: Th...Continue Reading

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Mentioned in this Paper

Entire Deciduous Mandibular Right Second Molar Tooth
Research
SDM
Environment
Literature
Species
Echinococcus Multilocularis Infection
Echinococcus multilocularis
Class Cestoda
5-isopropyl-1-((hydroxyethoxy)methyl)-6-(3,5-dimethylphenythio)-2-thiouracil

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