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Using soil survey data to model potential Coccidioides soil habitat and inform Valley fever epidemiology
Coccidioidomycosis, also known as Valley fever, is a disease that can result in substantial illness and death. It is most common in the southwestern United States and areas of Latin America with arid climates, though reports increasingly suggest its range is wider than previously recognized. The nat...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7894876/ https://www.ncbi.nlm.nih.gov/pubmed/33606807 http://dx.doi.org/10.1371/journal.pone.0247263 |
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author | Dobos, Robert R. Benedict, Kaitlin Jackson, Brendan R. McCotter, Orion Z. |
author_facet | Dobos, Robert R. Benedict, Kaitlin Jackson, Brendan R. McCotter, Orion Z. |
author_sort | Dobos, Robert R. |
collection | PubMed |
description | Coccidioidomycosis, also known as Valley fever, is a disease that can result in substantial illness and death. It is most common in the southwestern United States and areas of Latin America with arid climates, though reports increasingly suggest its range is wider than previously recognized. The natural habitat of the causative organisms, Coccidioides spp., have been associated with certain soil properties and climatic conditions. Current understanding of its geographic range is primarily defined by skin test studies and outbreak locations. We developed a fuzzy system model to predict suitable soil habitats for Coccidioides across the western United States based on parameters (electrical conductivity, organic matter content, pH, water holding capacity, temperature, and precipitation) from sites where soil sampling has confirmed the presence of Coccidioides. The model identified high coccidioidomycosis incidence areas as having high suitability and identified pockets of elevated suitability corresponding with outbreak locations outside the traditional range. By providing high-resolution estimates of Coccidioides suitability, including areas without public health surveillance for coccidioidomycosis, this model may be able to aid public health and clinical provider decision making. Awareness of possible Coccidioides soil habitats could help mitigate risk during soil-disturbing activities and help providers improve coccidioidomycosis diagnosis and treatment. |
format | Online Article Text |
id | pubmed-7894876 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-78948762021-03-01 Using soil survey data to model potential Coccidioides soil habitat and inform Valley fever epidemiology Dobos, Robert R. Benedict, Kaitlin Jackson, Brendan R. McCotter, Orion Z. PLoS One Research Article Coccidioidomycosis, also known as Valley fever, is a disease that can result in substantial illness and death. It is most common in the southwestern United States and areas of Latin America with arid climates, though reports increasingly suggest its range is wider than previously recognized. The natural habitat of the causative organisms, Coccidioides spp., have been associated with certain soil properties and climatic conditions. Current understanding of its geographic range is primarily defined by skin test studies and outbreak locations. We developed a fuzzy system model to predict suitable soil habitats for Coccidioides across the western United States based on parameters (electrical conductivity, organic matter content, pH, water holding capacity, temperature, and precipitation) from sites where soil sampling has confirmed the presence of Coccidioides. The model identified high coccidioidomycosis incidence areas as having high suitability and identified pockets of elevated suitability corresponding with outbreak locations outside the traditional range. By providing high-resolution estimates of Coccidioides suitability, including areas without public health surveillance for coccidioidomycosis, this model may be able to aid public health and clinical provider decision making. Awareness of possible Coccidioides soil habitats could help mitigate risk during soil-disturbing activities and help providers improve coccidioidomycosis diagnosis and treatment. Public Library of Science 2021-02-19 /pmc/articles/PMC7894876/ /pubmed/33606807 http://dx.doi.org/10.1371/journal.pone.0247263 Text en https://creativecommons.org/publicdomain/zero/1.0/ This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 (https://creativecommons.org/publicdomain/zero/1.0/) public domain dedication. |
spellingShingle | Research Article Dobos, Robert R. Benedict, Kaitlin Jackson, Brendan R. McCotter, Orion Z. Using soil survey data to model potential Coccidioides soil habitat and inform Valley fever epidemiology |
title | Using soil survey data to model potential Coccidioides soil habitat and inform Valley fever epidemiology |
title_full | Using soil survey data to model potential Coccidioides soil habitat and inform Valley fever epidemiology |
title_fullStr | Using soil survey data to model potential Coccidioides soil habitat and inform Valley fever epidemiology |
title_full_unstemmed | Using soil survey data to model potential Coccidioides soil habitat and inform Valley fever epidemiology |
title_short | Using soil survey data to model potential Coccidioides soil habitat and inform Valley fever epidemiology |
title_sort | using soil survey data to model potential coccidioides soil habitat and inform valley fever epidemiology |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7894876/ https://www.ncbi.nlm.nih.gov/pubmed/33606807 http://dx.doi.org/10.1371/journal.pone.0247263 |
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