Geographic Distribution of Environmental Relative Moldiness Index Molds in USA Homes

Objective. The objective of this study was to quantify and describe the distribution of the 36 molds that make up the Environmental Relative Moldiness Index (ERMI). Materials and Methods. As part of the 2006 American Healthy Homes Survey, settled dust samples were analyzed by mold-specific quanti...

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Main Authors: Stephen Vesper, Jennie Wakefield, Peter Ashley, David Cox, Gary Dewalt, Warren Friedman
Format: Article
Language:English
Published: Hindawi Limited 2011-01-01
Series:Journal of Environmental and Public Health
Online Access:http://dx.doi.org/10.1155/2011/242457
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spelling doaj-a2bd376c55454bf78a21c9066309155e2020-11-24T22:39:01ZengHindawi LimitedJournal of Environmental and Public Health1687-98051687-98132011-01-01201110.1155/2011/242457242457Geographic Distribution of Environmental Relative Moldiness Index Molds in USA HomesStephen Vesper0Jennie Wakefield1Peter Ashley2David Cox3Gary Dewalt4Warren Friedman5National Exposure Research Laboratory, United States Environmental Protection Agency, Cincinnati, OH 45268, USAConsolidated Safety Services, Dynamac Corporation, Cincinnati, OH 45268, USAU.S. Department of Housing and Urban Development, Washington, DC 20410, USAEnvironmental Sciences Group QuanTech, Arlington, VA 22201, USAEnvironmental Sciences Group QuanTech, Arlington, VA 22201, USAU.S. Department of Housing and Urban Development, Washington, DC 20410, USAObjective. The objective of this study was to quantify and describe the distribution of the 36 molds that make up the Environmental Relative Moldiness Index (ERMI). Materials and Methods. As part of the 2006 American Healthy Homes Survey, settled dust samples were analyzed by mold-specific quantitative PCR (MSQPCR) for the 36 ERMI molds. Each species' geographical distribution pattern was examined individually, followed by partitioning analysis in order to identify spatially meaningful patterns. For mapping, the 36 mold populations were divided into disjoint clusters on the basis of their standardized concentrations, and First Principal Component (FPC) scores were computed. Results and Conclusions. The partitioning analyses failed to uncover a valid partitioning that yielded compact, well-separated partitions with systematic spatial distributions, either on global or local criteria. Disjoint variable clustering resulted in seven mold clusters. The 36 molds and ERMI values themselves were found to be heterogeneously distributed across the United States of America (USA).http://dx.doi.org/10.1155/2011/242457
collection DOAJ
language English
format Article
sources DOAJ
author Stephen Vesper
Jennie Wakefield
Peter Ashley
David Cox
Gary Dewalt
Warren Friedman
spellingShingle Stephen Vesper
Jennie Wakefield
Peter Ashley
David Cox
Gary Dewalt
Warren Friedman
Geographic Distribution of Environmental Relative Moldiness Index Molds in USA Homes
Journal of Environmental and Public Health
author_facet Stephen Vesper
Jennie Wakefield
Peter Ashley
David Cox
Gary Dewalt
Warren Friedman
author_sort Stephen Vesper
title Geographic Distribution of Environmental Relative Moldiness Index Molds in USA Homes
title_short Geographic Distribution of Environmental Relative Moldiness Index Molds in USA Homes
title_full Geographic Distribution of Environmental Relative Moldiness Index Molds in USA Homes
title_fullStr Geographic Distribution of Environmental Relative Moldiness Index Molds in USA Homes
title_full_unstemmed Geographic Distribution of Environmental Relative Moldiness Index Molds in USA Homes
title_sort geographic distribution of environmental relative moldiness index molds in usa homes
publisher Hindawi Limited
series Journal of Environmental and Public Health
issn 1687-9805
1687-9813
publishDate 2011-01-01
description Objective. The objective of this study was to quantify and describe the distribution of the 36 molds that make up the Environmental Relative Moldiness Index (ERMI). Materials and Methods. As part of the 2006 American Healthy Homes Survey, settled dust samples were analyzed by mold-specific quantitative PCR (MSQPCR) for the 36 ERMI molds. Each species' geographical distribution pattern was examined individually, followed by partitioning analysis in order to identify spatially meaningful patterns. For mapping, the 36 mold populations were divided into disjoint clusters on the basis of their standardized concentrations, and First Principal Component (FPC) scores were computed. Results and Conclusions. The partitioning analyses failed to uncover a valid partitioning that yielded compact, well-separated partitions with systematic spatial distributions, either on global or local criteria. Disjoint variable clustering resulted in seven mold clusters. The 36 molds and ERMI values themselves were found to be heterogeneously distributed across the United States of America (USA).
url http://dx.doi.org/10.1155/2011/242457
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AT davidcox geographicdistributionofenvironmentalrelativemoldinessindexmoldsinusahomes
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