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Spatial scale in environmental risk mapping: A Valley fever case study
BACKGROUND: Valley fever is a fungal infection occurring in desert regions of the U.S. and Central and South America. Environmental risk mapping for this disease is hampered by challenges with detection, case reporting, and diagnostics as well as challenges common to spatial data handling. DESIGN AN...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PAGEPress Publications, Pavia, Italy
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5641658/ https://www.ncbi.nlm.nih.gov/pubmed/29071255 http://dx.doi.org/10.4081/jphr.2017.886 |
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author | Heidi E., Brown Wangshu, Mu Mohammed, Khan Clarisse, Tsang Jian, Liu Daoqin, Tong |
author_facet | Heidi E., Brown Wangshu, Mu Mohammed, Khan Clarisse, Tsang Jian, Liu Daoqin, Tong |
author_sort | Heidi E., Brown |
collection | PubMed |
description | BACKGROUND: Valley fever is a fungal infection occurring in desert regions of the U.S. and Central and South America. Environmental risk mapping for this disease is hampered by challenges with detection, case reporting, and diagnostics as well as challenges common to spatial data handling. DESIGN AND METHODS. Using 12,349 individual cases in Arizona from 2006 to 2009, we analyzed risk factors at both the individual and area levels. RESULTS. Risk factors including elderly population, income status, soil organic carbon, and density of residential area were found to be positively associated with residence of Valley fever cases. A negative association was observed for distance to desert and pasture/hay land cover. The association between incidence and two land cover variables (shrub and cultivated crop lands) varied depending on the spatial scale of the analysis. CONCLUSIONS: The consistence of age, income, population density, and proximity to natural areas supports that these are important predictors of Valley fever risk. However, the inconsistency of the land cover variables across scales highlights the importance of how scale is treated in risk mapping. |
format | Online Article Text |
id | pubmed-5641658 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | PAGEPress Publications, Pavia, Italy |
record_format | MEDLINE/PubMed |
spelling | pubmed-56416582017-10-25 Spatial scale in environmental risk mapping: A Valley fever case study Heidi E., Brown Wangshu, Mu Mohammed, Khan Clarisse, Tsang Jian, Liu Daoqin, Tong J Public Health Res Article BACKGROUND: Valley fever is a fungal infection occurring in desert regions of the U.S. and Central and South America. Environmental risk mapping for this disease is hampered by challenges with detection, case reporting, and diagnostics as well as challenges common to spatial data handling. DESIGN AND METHODS. Using 12,349 individual cases in Arizona from 2006 to 2009, we analyzed risk factors at both the individual and area levels. RESULTS. Risk factors including elderly population, income status, soil organic carbon, and density of residential area were found to be positively associated with residence of Valley fever cases. A negative association was observed for distance to desert and pasture/hay land cover. The association between incidence and two land cover variables (shrub and cultivated crop lands) varied depending on the spatial scale of the analysis. CONCLUSIONS: The consistence of age, income, population density, and proximity to natural areas supports that these are important predictors of Valley fever risk. However, the inconsistency of the land cover variables across scales highlights the importance of how scale is treated in risk mapping. PAGEPress Publications, Pavia, Italy 2017-09-22 /pmc/articles/PMC5641658/ /pubmed/29071255 http://dx.doi.org/10.4081/jphr.2017.886 Text en ©Copyright R. Somrongthong et al., 2017 http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Article Heidi E., Brown Wangshu, Mu Mohammed, Khan Clarisse, Tsang Jian, Liu Daoqin, Tong Spatial scale in environmental risk mapping: A Valley fever case study |
title | Spatial scale in environmental risk mapping: A Valley fever case study |
title_full | Spatial scale in environmental risk mapping: A Valley fever case study |
title_fullStr | Spatial scale in environmental risk mapping: A Valley fever case study |
title_full_unstemmed | Spatial scale in environmental risk mapping: A Valley fever case study |
title_short | Spatial scale in environmental risk mapping: A Valley fever case study |
title_sort | spatial scale in environmental risk mapping: a valley fever case study |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5641658/ https://www.ncbi.nlm.nih.gov/pubmed/29071255 http://dx.doi.org/10.4081/jphr.2017.886 |
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