ArticleBMC ecology2019
Ecological niche modelling to estimate the distribution of Culicoides, potential vectors of bluetongue virus in Senegal.
Article in BMC ecology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- An updated checklist of Culicoides Latreille, 1809 biting midges from the highlands of eastern Democratic Republic of the Congo.Medical and veterinary entomology · 2026Article
- First molecular evidence ofVeterinary world · 2025Article
- Bluetongue Risk Map for Vaccination and Surveillance Strategies in India.Pathogens (Basel, Switzerland) · 2024Article
- Effects of Climatic Change on Potential Distribution ofInsects · 2023Article
- Predicting the possibility of African horse sickness (AHS) introduction into China using spatial risk analysis and habitat connectivity of Culicoides.Scientific reports · 2022Article
- Spatial distribution and habitat selection of culicoides imicola: The potential vector of bluetongue virus in Tunisia.The Onderstepoort journal of veterinary research · 2021Article
- Assessing the Risk of Occurrence of Bluetongue in Senegal.Microorganisms · 2020Article
- Geographic abundance patterns explained by niche centrality hypothesis in two Chagas disease vectors in Latin America.PloS one · 2020Article
- Role of eco-climatic factors in the distribution of bluetongue in endemic areas in Tunisia.Open veterinary journalArticle
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7 authors.
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Abstract
backgroundVector-borne diseases are among the leading causes of morbidity and mortality in humans and animals. In the Afrotropical region, some are transmitted by Culicoides, such as Akabane, bluetongue, epizootic haemorrhagic fever and African horse sickness viruses. Bluetongue virus infection has an enormous impact on ruminant production, due to its high morbidity and mortality rates.
methodsA nationwide Culicoides trapping campaign was organized at the end of the 2012 rainy season in Senegal. A Maximum Entropy approach (MaxEnt), Boosted Regression Tree (BRT) method and Ecological Niche Factor Analysis (ENFA) were used to develop a predictive spatial model for the distribution of Culicoides, using bio-climatic variables, livestock densities and altitude.
resultsThe altitude, maximum temperature of the warmest month, precipitation of the warmest quarter, mean temperature of the wettest quarter, temperature seasonality, precipitation of the wettest quarter and livestock density were among the most important factors to predict suitable habitats of Culicoides. Culicoides occurrences were, in most of the cases, positively correlated to precipitation variables and livestock densities; and negatively correlated to the altitude and temperature indices. The Niayes area and the Groundnut basin were the most suitable habitats predicted.
conclusionWe present ecological niche models for different Culicoides species, namely C. imicola, C. oxystoma, C. enderleini and C. miombo, potential vectors of bluetongue virus, on a nationwide scale in Senegal. Through our modelling approach, we were able to determine the effect of bioclimatic variables on Culicoides habitats and were able to generate maps for the occurrence of Culicoides species. This information will be helpful in developing risk maps for disease outbreaks.
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