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Species Distribution Models and Ecological Suitability Analysis for Potential Tick Vectors of Lyme Disease in Mexico
Species distribution models were constructed for ten Ixodes species and Amblyomma cajennense for a region including Mexico and Texas. The model was based on a maximum entropy algorithm that used environmental layers to predict the relative probability of presence for each taxon. For Mexico, species...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3307011/ https://www.ncbi.nlm.nih.gov/pubmed/22518171 http://dx.doi.org/10.1155/2012/959101 |
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author | Illoldi-Rangel, Patricia Rivaldi, Chissa-Louise Sissel, Blake Trout Fryxell, Rebecca Gordillo-Pérez, Guadalupe Rodríguez-Moreno, Angel Williamson, Phillip Montiel-Parra, Griselda Sánchez-Cordero, Víctor Sarkar, Sahotra |
author_facet | Illoldi-Rangel, Patricia Rivaldi, Chissa-Louise Sissel, Blake Trout Fryxell, Rebecca Gordillo-Pérez, Guadalupe Rodríguez-Moreno, Angel Williamson, Phillip Montiel-Parra, Griselda Sánchez-Cordero, Víctor Sarkar, Sahotra |
author_sort | Illoldi-Rangel, Patricia |
collection | PubMed |
description | Species distribution models were constructed for ten Ixodes species and Amblyomma cajennense for a region including Mexico and Texas. The model was based on a maximum entropy algorithm that used environmental layers to predict the relative probability of presence for each taxon. For Mexico, species geographic ranges were predicted by restricting the models to cells which have a higher probability than the lowest probability of the cells in which a presence record was located. There was spatial nonconcordance between the distributions of Amblyomma cajennense and the Ixodes group with the former restricted to lowlands and mainly the eastern coast of Mexico and the latter to montane regions with lower temperature. The risk of Lyme disease is, therefore, mainly present in the highlands where some Ixodes species are known vectors; if Amblyomma cajennense turns out to be a competent vector, the area of risk also extends to the lowlands and the east coast. |
format | Online Article Text |
id | pubmed-3307011 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-33070112012-04-19 Species Distribution Models and Ecological Suitability Analysis for Potential Tick Vectors of Lyme Disease in Mexico Illoldi-Rangel, Patricia Rivaldi, Chissa-Louise Sissel, Blake Trout Fryxell, Rebecca Gordillo-Pérez, Guadalupe Rodríguez-Moreno, Angel Williamson, Phillip Montiel-Parra, Griselda Sánchez-Cordero, Víctor Sarkar, Sahotra J Trop Med Research Article Species distribution models were constructed for ten Ixodes species and Amblyomma cajennense for a region including Mexico and Texas. The model was based on a maximum entropy algorithm that used environmental layers to predict the relative probability of presence for each taxon. For Mexico, species geographic ranges were predicted by restricting the models to cells which have a higher probability than the lowest probability of the cells in which a presence record was located. There was spatial nonconcordance between the distributions of Amblyomma cajennense and the Ixodes group with the former restricted to lowlands and mainly the eastern coast of Mexico and the latter to montane regions with lower temperature. The risk of Lyme disease is, therefore, mainly present in the highlands where some Ixodes species are known vectors; if Amblyomma cajennense turns out to be a competent vector, the area of risk also extends to the lowlands and the east coast. Hindawi Publishing Corporation 2012 2012-02-14 /pmc/articles/PMC3307011/ /pubmed/22518171 http://dx.doi.org/10.1155/2012/959101 Text en Copyright © 2012 Patricia Illoldi-Rangel et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Illoldi-Rangel, Patricia Rivaldi, Chissa-Louise Sissel, Blake Trout Fryxell, Rebecca Gordillo-Pérez, Guadalupe Rodríguez-Moreno, Angel Williamson, Phillip Montiel-Parra, Griselda Sánchez-Cordero, Víctor Sarkar, Sahotra Species Distribution Models and Ecological Suitability Analysis for Potential Tick Vectors of Lyme Disease in Mexico |
title | Species Distribution Models and Ecological Suitability Analysis for Potential Tick Vectors of Lyme Disease in Mexico |
title_full | Species Distribution Models and Ecological Suitability Analysis for Potential Tick Vectors of Lyme Disease in Mexico |
title_fullStr | Species Distribution Models and Ecological Suitability Analysis for Potential Tick Vectors of Lyme Disease in Mexico |
title_full_unstemmed | Species Distribution Models and Ecological Suitability Analysis for Potential Tick Vectors of Lyme Disease in Mexico |
title_short | Species Distribution Models and Ecological Suitability Analysis for Potential Tick Vectors of Lyme Disease in Mexico |
title_sort | species distribution models and ecological suitability analysis for potential tick vectors of lyme disease in mexico |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3307011/ https://www.ncbi.nlm.nih.gov/pubmed/22518171 http://dx.doi.org/10.1155/2012/959101 |
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