ArticleDiseases (Basel, Switzerland)2022
Ensemble Models for Tick Vectors: Standard Surveys Compared with Convenience Samples.
Article in Diseases (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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Who cites it
4 citing papers in PubMed.
- Harnessing survey data across multiple demographic groups in Illinois to assess survey questions and reveal insights about ticks and tick-borne disease risk: a meta-comparison study.BMC public health · 2026Article
- Predicting vector distribution in Europe: at what sample size are species distribution models reliable?Frontiers in veterinary science · 2025Article
- Forecasting Outbreaks of Hantaviral Disease: Future Directions in Geospatial Modeling.Viruses · 2023Article
- Anthropogenically driven spatial niche partitioning in a large herbivore assemblage.Oecologia · 2023Article
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Authors and funding
4 authors.
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Abstract
Ensembles of Species Distribution Models (SDMs) represent the geographic ranges of pathogen vectors by combining alternative analytical approaches and merging information on vector occurrences with more extensive environmental data. Biased collection data impact SDMs, regardless of the target species, but no studies have compared the differences in the distributions predicted by the ensemble models when different sampling frameworks are used for the same species. We compared Ensemble SDMs for two important Ixodid tick vectors,
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Registered trials
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