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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Series: | Journal of Environmental and Public Health |
Online Access: | http://dx.doi.org/10.1155/2011/242457 |
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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 |
work_keys_str_mv |
AT stephenvesper geographicdistributionofenvironmentalrelativemoldinessindexmoldsinusahomes AT jenniewakefield geographicdistributionofenvironmentalrelativemoldinessindexmoldsinusahomes AT peterashley geographicdistributionofenvironmentalrelativemoldinessindexmoldsinusahomes AT davidcox geographicdistributionofenvironmentalrelativemoldinessindexmoldsinusahomes AT garydewalt geographicdistributionofenvironmentalrelativemoldinessindexmoldsinusahomes AT warrenfriedman geographicdistributionofenvironmentalrelativemoldinessindexmoldsinusahomes |
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