Spatial scale in environmental risk mapping: A Valley fever case study

<em>Background</em>. 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 dat...

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Main Authors: Heidi E. Brown, Wangshu Mu, Mohammed Khan, Clarisse Tsang, Jian Liu, Daoqin Tong
Format: Article
Language:English
Published: PAGEPress Publications 2017-09-01
Series:Journal of Public Health Research
Subjects:
Online Access:http://www.jphres.org/index.php/jphres/article/view/886
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spelling doaj-98f8727b0708493ea5f8eeda73d3c3a32020-11-24T22:42:40ZengPAGEPress PublicationsJournal of Public Health Research2279-90282279-90362017-09-016210.4081/jphr.2017.886175Spatial scale in environmental risk mapping: A Valley fever case studyHeidi E. Brown0Wangshu Mu1Mohammed Khan2Clarisse Tsang3Jian Liu4Daoqin Tong5College of Public Health, University of Arizona, Tucson, AZSchool of Geography and Development, University of Arizona, Tucson, AZOffice of Infectious Disease Services, Infectious Disease Epidemiology and Surveillance, Arizona Department of Health, Phoenix, AZOffice of Infectious Disease Services, Infectious Disease Epidemiology and Surveillance, Arizona Department of Health, Phoenix, AZDepartment of Engineering, University of Arizona, Tucson, AZSchool of Geography and Development, University of Arizona, Tucson, AZ<em>Background</em>. 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. <br /><em>Design and Methods.</em> Using 12,349 individual cases in Arizona from 2006 to 2009, we analyzed risk factors at both the individual and area levels. <br /><em>Results</em>. 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. <br /><em>Conclusions</em>. 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.http://www.jphres.org/index.php/jphres/article/view/886Risk mapping, GIS, uncertainty, Valley fever
collection DOAJ
language English
format Article
sources DOAJ
author Heidi E. Brown
Wangshu Mu
Mohammed Khan
Clarisse Tsang
Jian Liu
Daoqin Tong
spellingShingle Heidi E. Brown
Wangshu Mu
Mohammed Khan
Clarisse Tsang
Jian Liu
Daoqin Tong
Spatial scale in environmental risk mapping: A Valley fever case study
Journal of Public Health Research
Risk mapping, GIS, uncertainty, Valley fever
author_facet Heidi E. Brown
Wangshu Mu
Mohammed Khan
Clarisse Tsang
Jian Liu
Daoqin Tong
author_sort Heidi E. Brown
title 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_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_sort spatial scale in environmental risk mapping: a valley fever case study
publisher PAGEPress Publications
series Journal of Public Health Research
issn 2279-9028
2279-9036
publishDate 2017-09-01
description <em>Background</em>. 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. <br /><em>Design and Methods.</em> Using 12,349 individual cases in Arizona from 2006 to 2009, we analyzed risk factors at both the individual and area levels. <br /><em>Results</em>. 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. <br /><em>Conclusions</em>. 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.
topic Risk mapping, GIS, uncertainty, Valley fever
url http://www.jphres.org/index.php/jphres/article/view/886
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AT mohammedkhan spatialscaleinenvironmentalriskmappingavalleyfevercasestudy
AT clarissetsang spatialscaleinenvironmentalriskmappingavalleyfevercasestudy
AT jianliu spatialscaleinenvironmentalriskmappingavalleyfevercasestudy
AT daoqintong spatialscaleinenvironmentalriskmappingavalleyfevercasestudy
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