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Modelling hotspots of the two dominant Rift Valley fever vectors (Aedes vexans and Culex poicilipes) in Barkédji, Sénégal
BACKGROUND: Climatic and environmental variables were used successfully by using models to predict Rift Valley fever (RVF) virus outbreaks in East Africa. However, these models are not replicable in the West African context due to a likely difference of the dynamic of the virus emergence. For these...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4769837/ https://www.ncbi.nlm.nih.gov/pubmed/26922792 http://dx.doi.org/10.1186/s13071-016-1399-3 |
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author | Talla, Cheikh Diallo, Diawo Dia, Ibrahima Ba, Yamar Ndione, Jacques-André Morse, Andrew P. Diop, Aliou Diallo, Mawlouth |
author_facet | Talla, Cheikh Diallo, Diawo Dia, Ibrahima Ba, Yamar Ndione, Jacques-André Morse, Andrew P. Diop, Aliou Diallo, Mawlouth |
author_sort | Talla, Cheikh |
collection | PubMed |
description | BACKGROUND: Climatic and environmental variables were used successfully by using models to predict Rift Valley fever (RVF) virus outbreaks in East Africa. However, these models are not replicable in the West African context due to a likely difference of the dynamic of the virus emergence. For these reasons specific models mainly oriented to the risk mapping have been developed. Hence, the areas of high vector pressure or virus activity are commonly predicted. However, the factors impacting their occurrence are poorly investigated and still unknown. In this study, we examine the impact of climate and environmental factors on the likelihood of occurrence of the two main vectors of RVF in West Africa (Aedes vexans and Culex poicilipes) hotspots. METHODS: We used generalized linear mixed models taking into account spatial autocorrelation, in order to overcome the default threshold for areas with high mosquito abundance identified by these models. Getis’ Gi*(d) index was used to define local adult mosquito abundance clusters (hotspot). RESULTS: For Culex poicilipes, a decrease of the minimum temperature promotes the occurrence of hotspots, whereas, for Aedes vexans, the likelihood of hotspot occurrence is negatively correlated with relative humidity, maximum and minimum temperatures. However, for the two vectors, proximity to ponds would increase the risk of being in an hotspot area. CONCLUSIONS: These results may be useful in the improvement of RVF monitoring and vector control management in the Barkedji area. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13071-016-1399-3) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4769837 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-47698372016-02-29 Modelling hotspots of the two dominant Rift Valley fever vectors (Aedes vexans and Culex poicilipes) in Barkédji, Sénégal Talla, Cheikh Diallo, Diawo Dia, Ibrahima Ba, Yamar Ndione, Jacques-André Morse, Andrew P. Diop, Aliou Diallo, Mawlouth Parasit Vectors Research BACKGROUND: Climatic and environmental variables were used successfully by using models to predict Rift Valley fever (RVF) virus outbreaks in East Africa. However, these models are not replicable in the West African context due to a likely difference of the dynamic of the virus emergence. For these reasons specific models mainly oriented to the risk mapping have been developed. Hence, the areas of high vector pressure or virus activity are commonly predicted. However, the factors impacting their occurrence are poorly investigated and still unknown. In this study, we examine the impact of climate and environmental factors on the likelihood of occurrence of the two main vectors of RVF in West Africa (Aedes vexans and Culex poicilipes) hotspots. METHODS: We used generalized linear mixed models taking into account spatial autocorrelation, in order to overcome the default threshold for areas with high mosquito abundance identified by these models. Getis’ Gi*(d) index was used to define local adult mosquito abundance clusters (hotspot). RESULTS: For Culex poicilipes, a decrease of the minimum temperature promotes the occurrence of hotspots, whereas, for Aedes vexans, the likelihood of hotspot occurrence is negatively correlated with relative humidity, maximum and minimum temperatures. However, for the two vectors, proximity to ponds would increase the risk of being in an hotspot area. CONCLUSIONS: These results may be useful in the improvement of RVF monitoring and vector control management in the Barkedji area. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13071-016-1399-3) contains supplementary material, which is available to authorized users. BioMed Central 2016-02-27 /pmc/articles/PMC4769837/ /pubmed/26922792 http://dx.doi.org/10.1186/s13071-016-1399-3 Text en © Talla et al. 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Talla, Cheikh Diallo, Diawo Dia, Ibrahima Ba, Yamar Ndione, Jacques-André Morse, Andrew P. Diop, Aliou Diallo, Mawlouth Modelling hotspots of the two dominant Rift Valley fever vectors (Aedes vexans and Culex poicilipes) in Barkédji, Sénégal |
title | Modelling hotspots of the two dominant Rift Valley fever vectors (Aedes vexans and Culex poicilipes) in Barkédji, Sénégal |
title_full | Modelling hotspots of the two dominant Rift Valley fever vectors (Aedes vexans and Culex poicilipes) in Barkédji, Sénégal |
title_fullStr | Modelling hotspots of the two dominant Rift Valley fever vectors (Aedes vexans and Culex poicilipes) in Barkédji, Sénégal |
title_full_unstemmed | Modelling hotspots of the two dominant Rift Valley fever vectors (Aedes vexans and Culex poicilipes) in Barkédji, Sénégal |
title_short | Modelling hotspots of the two dominant Rift Valley fever vectors (Aedes vexans and Culex poicilipes) in Barkédji, Sénégal |
title_sort | modelling hotspots of the two dominant rift valley fever vectors (aedes vexans and culex poicilipes) in barkédji, sénégal |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4769837/ https://www.ncbi.nlm.nih.gov/pubmed/26922792 http://dx.doi.org/10.1186/s13071-016-1399-3 |
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