ArticleScientific reports2019
Modeling the global distribution of Culicoides imicola: an Ensemble approach.
Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.
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Who cites it
27 citing papers in PubMed.
- Assessing Habitat Suitability and Exposure of the EndemicEcology and evolution · 2026Article
- Bluetongue virus in Middle Eastern ruminants: vector evidence, surveillance gaps, and research priorities.Tropical animal health and production · 2026Review
- Clinical signs, clinical pathology and outcomes in horses infected naturally with equine encephalosis virus.Equine veterinary journal · 2026Article
- Seroepidemiological Investigation and Risk Factors of Schmallenberg Virus Infection in Sheep and Goats in Bangladesh.Transboundary and emerging diseases · 2026Article
- Article
- Global foot-and-mouth disease risk assessment based on multiple spatial analysis and ecological niche model.The veterinary quarterly · 2025Article
- Risk Prediction of Emerging Sites Infested with Schistosome-Transmitting Oncomelania hupensis in Shanghai, China.The American journal of tropical medicine and hygiene · 2025Article
- Endemic and threatened birds as surrogates for identifying conservation priority areas and ecological corridors in the America's most endangered habitat.Scientific reports · 2024Article
- Modelling bluetongue and African horse sickness vector (Culicoides spp.) distribution in the Western Cape in South Africa using random forest machine learning.Parasites & vectors · 2024Article
- The Potential of Plant-Produced Virus-like Particle Vaccines for African Horse Sickness and Other Equine Orbiviruses.Pathogens (Basel, Switzerland) · 2024Review
- Epidemiological Analyses of the First Incursion of the Epizootic Hemorrhagic Disease Virus Serotype 8 in Tunisia, 2021-2022.Viruses · 2024Article
- Environmental and Historical Determinants of African Horse Sickness: Insights from Predictive Modeling.Transboundary and emerging diseases · 2024Article
- Biomod2 modeling for predicting the potential ecological distribution of three Fritillaria species under climate change.Scientific reports · 2023Article
- Global Distribution ofInternational journal of environmental research and public health · 2023Article
- Prediction of the Risk Distributions for Anopheles sinensis, a Vector for Malaria in Shanghai, China.The American journal of tropical medicine and hygiene · 2023Article
- Ecological niche model transferability of the white star apple (Chrysophyllum albidum G. Don) in the context of climate and global changes.Scientific reports · 2023Article
- Potential roles ofFrontiers in cellular and infection microbiology · 2023Article
- Approaches for disease prioritization and decision-making in animal health, 2000-2021: a structured scoping review.Frontiers in veterinary science · 2023Article
- Global Risk Assessment of the Occurrence of Bovine Lumpy Skin Disease: Based on an Ecological Niche Model.Transboundary and emerging diseases · 2023Article
- Predicting habitat suitability for Ixodes ricinus and Ixodes persulcatus ticks in Finland.Parasites & vectors · 2022Article
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Culicoides imicola is a midge species serving as vector for a number of viral diseases of livestock, including Bluetongue, and African Horse Sickness. C. imicola is also known to transmit Schmallenberg virus experimentally. Environmental and demographic factors may impose rapid changes on the global distribution of C. imicola and aid introduction into new areas. The aim of this study is to predict the global distribution of C. imicola using an ensemble modeling approach by combining climatic, livestock distribution and land cover covariates, together with a comprehensive global dataset of geo-positioned occurrence points for C. imicola. Thirty individual models were generated by 'biomod2', with 21 models scoring a true skill statistic (TSS) >0.8. These 21 models incorporated weighted runs from eight of ten algorithms and were used to create a final ensemble model. The ensemble model performed very well (TSS = 0.898 and ROC = 0.991) and indicated high environmental suitability for C. imicola in the tropics and subtropics. The habitat suitability for C. imicola spans from South Africa to southern Europe and from southern USA to southern China. The distribution of C. imicola is mainly constrained by climatic factors. In the ensemble model, mean annual minimum temperature had the highest overall contribution (42.9%), followed by mean annual maximum temperature (21.1%), solar radiation (13.6%), annual precipitation (11%), livestock distribution (6.2%), vapor pressure (3.4%), wind speed (0.8%), and land cover (0.1%). The present study provides the most up-to-date predictive maps of the potential distributions of C. imicola and should be of great value for decision making at global and regional scales.
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