No data generated. This dataset is not publicly accessible because: There was no new data generated. It can be accessed through the following means: None available. Format: Since this was a review article, no new data was generated. This dataset is associated with the following publication: Vesper , S. The relationship between environmental relative moldiness index values and asthma. INTERNATIONAL JOURNAL OF HYGIENE AND ENVIRONMENTAL HEALTH. Urban & Fischer Verlag Jena, Jena, GERMANY, 219(1): 233-238, (2016).

Each Table or Figure is covered on a seperate sheet in the EXCEL file, i.e., Table 1, Table 2, Table 3 and figure 1. Table 1 contains raw data for the number of cell equivalents per mg of dust and the resulting % occurence of each of the 36 ERMI molds, also the concnetration of each of the eRMI molds and the Geometric mean (GM) for the samples. Table 2 shows the data for the comparisons made for the average ERMI values in the first American Healthy Homes Survey (AHHS I) and AHHS II homes and in homes built before 1978 (Pre-1978) and homes built in 1978 or later (Post-1977). Table 3 contains the data used to generate the average summed logs of Group 1 mold populations (Group 1) and summed logs of Group 2 mold populations (Group 2) in the American Healthy Homes Survey II (AHHS II) homes built before 1978 (Pre-1978) and homes built in 1978 or later (Post-1977). And the Figure 1 Excel sheet shows the data used to produce the Kernel density estimate plots of the Environmental Relative Moldiness Index (ERMI) values for the homes sampled in AHHS I (n=1096) and AHHS II (n=694). This dataset is associated with the following publication: Vesper, S., L. Wymer, D. Cox, G. Dewalt, E. Pinzer, W. Friedman, and P.J. Ashley. The Environmental Relative Moldiness Index reveals changes in mold contamination in United States homes over time. JOURNAL OF OCCUPATIONAL AND ENVIRONMENTAL HYGIENE. Taylor & Francis, Inc., Philadelphia, PA, USA, 18(1): 35-41, (2021).

ERMI-Like data for the 36 molds that make-up the ERMI panel. This dataset is associated with the following publication: Vesper, S., K.G. Libuit, N. Esguerra, and A. Cross. Assessment of mold contamination in hurricane-damaged homes in Houston, Texas after sanitization by volunteers. Annals of Civil and Environmental Engineering. Heighten Science Publications Inc. (HSPI), East Windsor, CT, USA, 6: 003-007, (2022).

EPA Positive Matrix Factorization (PMF) source profile results for fine and coarse particulate matter. Inorganic fine and coarse particulate matter concentration data used in PMF models. This dataset is associated with the following publication: Khatri, S.B., C. Newman, J.P. Hammel, T. Dey, J.J. Van Laere, K.A. Ross, T. Anderson, S. Mukerjee, L. Smith, M. Landis, A. Holstein, and G. Norris. Associations of Air Pollution and Pediatric Asthma in Cleveland, Ohio. The Scientific World Journal. Hindawi Publishing Corporation, New York, NY, USA, 2021: 8881390, (2021).

EPA Positive Matrix Factorization (PMF) source profile results for fine and coarse particulate matter. Inorganic fine and coarse particulate matter concentration data used in PMF models. This dataset is associated with the following publication: Khatri, S.B., C. Newman, J.P. Hammel, T. Dey, J.J. Van Laere, K.A. Ross, T. Anderson, S. Mukerjee, L. Smith, M. Landis, A. Holstein, and G. Norris. Associations of Air Pollution and Pediatric Asthma in Cleveland, Ohio. The Scientific World Journal. Hindawi Publishing Corporation, New York, NY, USA, 2021: 8881390, (2021).

The data set describes each sample number and the designation of the child's asthma as either difficult or easy to treat. Then the results of the Environmental Relative Moldiness Index (ERMI)analysis is then provided for each sample. Next the components of the ERMI (Group 1, Group 2 and ERMI values are statistically compared. Then the concentrations of each of the 36 ERMI molds are statistically compared. Finally, the occurrence of a window air-conditioner in each of the homes is shown for homes of children with difficult- or easy-to treat-asthma is provided. This dataset is associated with the following publication: Vesper, S., L. Wymer, J. Kroner, J.A. Pongracic, E.M. Zoratti, F.F. Little, R.A. Wood, C.M. Kercsmar, R.S. Gruchalla, M.A. Gill, M. Kattan, S.J. Teach, S. Patel, C.C. Johnson, L.B. Bacharier, J.E. Gern, D.J. Jackson, S.M. Sigelman, A. Togias, A.H. Liu, W.W. Busse, and G.K. Khurana Hershey. Association of Mold Levels in Urban Children’s Homes with Difficult-to-Control Asthma. JOURNAL OF ALLERGY AND CLINICAL IMMUNOLOGY. Journal of Allergy Clinical Immunology, 149(4): 1481-1485, (2022).

Lifetime childhood asthma prevalence (LCAP) percentages in Puerto Rico Health Regions (HR) are substantially higher in northeastern vs. southwestern HR. Higher average relative humidity in the northeast might promote mold and mite exposures and possibly asthma prevalence. To test this hypothesis, mold contamination, Environmental Relative Moldiness Index (ERMI) values were measured in floor dust (n = 26) and dust mite allergen concentrations in bed dust (n = 14). For this analysis, the eight HR were divided into those with LCAP > 30% (n = 3) and < 30% (n = 5). The average ERMI value was significantly greater (Wilcoxon Rank Sum, p < 0.001) in high than in low LCAP HR (14.5 vs. 9.3). The dust mite antigens Der p 1, Der f 1, and Blo t 5 were detected in 90% of bed samples, but the concentrations were not significantly different in high vs. low LCAP HR. Mold exposures might partially explain the differences in LCAP HR in Puerto Rico. This dataset is not publicly accessible because: This was a study conducted by Columbia University researchers. It can be accessed through the following means: Contact: Matthew S. Perzanowski, Ph.D. Associate Professor Department of Environmental Health Sciences Mailman School of Public Health Columbia University (212) 305-3465. Format: This study was conducted by Columbia University. There is no dataset format. This dataset is associated with the following publication: Vesper , S., H. Choi, M. Perzanowski, L. Acosta, A. Divjan, B. Bolanos-Rosero, F. Rivera-Mariani, and G. Chew. Mold populations and dust mite allergen concentrations in house dust samples from across Puerto Rico. INTERNATIONAL JOURNAL OF ENVIRONMENTAL HEALTH RESEARCH. Carfax Publishing Limited, Basingstoke, UK, 26(2): 198-207, (2016).

The MarketScan health claims database is a compilation of nearly 110 million patient records with information from more than 100 private insurance carriers and large self-insuring companies. Public forms of insurance (i.e., Medicare and Medicaid) are not included, nor are small (< 100 employees) or medium (< 1000 employees) self-insuring companies. For this cross-sectional study, approved claims for the years 2003–2013, which includes 17.5–45.2 million persons annually, are linked across years and geocoded at the county level. The dataset includes both inpatient and outpatient claims, medical procedures and prescription medications. In addition to diagnostic and pharmacy claims, records include patient's age (in years), county of residence, and sex. This dataset defines the population in which we are estimating associations, specifically, U.S. adults aged 18–65 with private health insurance, primarily from large employers (those with>1000 employees). We excluded the relatively few (n=6735) individuals over 65 years of age because Medicare is the primary insurance of U.S. adults over 65. The EQI was constructed for 2000-2005 for all US counties and is composed of five domains (air, water, built, land, and sociodemographic), each composed of variables to represent the environmental quality of that domain. Domain-specific EQIs were developed using principal components analysis (PCA) to reduce these variables within each domain while the overall EQI was constructed from a second PCA from these individual domains (L. C. Messer et al., 2014). To account for differences in environment across rural and urban counties, the overall and domain-specific EQIs were stratified by rural urban continuum codes (RUCCs) (U.S. Department of Agriculture, 2015). This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: Human health data are not available publicly. EQI data are available at: https://edg.epa.gov/data/Public/ORD/NHEERL/EQI. Format: Data are stored as csv files. This dataset is associated with the following publication: Gray, C., D. Lobdell, K. Rappazzo, Y. Jian, J. Jagai, L. Messer, A. Patel, S. Deflorio-Barker, C. Lyttle, J. Solway, and A. Rzhetsky. Associations between environmental quality and adult asthma prevalence in medical claims data. ENVIRONMENTAL RESEARCH. Elsevier B.V., Amsterdam, NETHERLANDS, 166: 529-536, (2018).

The MarketScan health claims database is a compilation of nearly 110 million patient records with information from more than 100 private insurance carriers and large self-insuring companies. Public forms of insurance (i.e., Medicare and Medicaid) are not included, nor are small (< 100 employees) or medium (< 1000 employees) self-insuring companies. For this cross-sectional study, approved claims for the years 2003–2013, which includes 17.5–45.2 million persons annually, are linked across years and geocoded at the county level. The dataset includes both inpatient and outpatient claims, medical procedures and prescription medications. In addition to diagnostic and pharmacy claims, records include patient's age (in years), county of residence, and sex. This dataset defines the population in which we are estimating associations, specifically, U.S. adults aged 18–65 with private health insurance, primarily from large employers (those with>1000 employees). We excluded the relatively few (n=6735) individuals over 65 years of age because Medicare is the primary insurance of U.S. adults over 65. The EQI was constructed for 2000-2005 for all US counties and is composed of five domains (air, water, built, land, and sociodemographic), each composed of variables to represent the environmental quality of that domain. Domain-specific EQIs were developed using principal components analysis (PCA) to reduce these variables within each domain while the overall EQI was constructed from a second PCA from these individual domains (L. C. Messer et al., 2014). To account for differences in environment across rural and urban counties, the overall and domain-specific EQIs were stratified by rural urban continuum codes (RUCCs) (U.S. Department of Agriculture, 2015). This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: Human health data are not available publicly. EQI data are available at: https://edg.epa.gov/data/Public/ORD/NHEERL/EQI. Format: Data are stored as csv files. This dataset is associated with the following publication: Gray, C., D. Lobdell, K. Rappazzo, Y. Jian, J. Jagai, L. Messer, A. Patel, S. Deflorio-Barker, C. Lyttle, J. Solway, and A. Rzhetsky. Associations between environmental quality and adult asthma prevalence in medical claims data. ENVIRONMENTAL RESEARCH. Elsevier B.V., Amsterdam, NETHERLANDS, 166: 529-536, (2018).

The data contains location information, DNA methylation (transformed into epigenetic aging biomakers), dates of examination, demographics, disease diagnoses, and traffic-related air pollution exposures. It is stored as a series of data frames suitable for use in the R programming language. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: This data can be accessed by contacting Dr. Cavin Ward-Caviness and describing your needs for the analysis, completing the necessary ethics trainings, and gaining approval on the appropriate IRB applications as well as by the CATHGEN Steering Committee. Format: The data contains location information, DNA methylation (transformed into epigenetic aging biomakers), dates of examination, demographics, disease diagnoses, and traffic-related air pollution exposures. It is stored as a series of data frames suitable for use in the R programming language. This dataset is associated with the following publication: Ward-Caviness, C., A. Russell, A. Weaver, E. Slawsky, R. Dhingra, L. Coulter Kwee, R. Jiang, L. Neas, D. Diaz-Sanchez, R. Devlin, W. Cascio, E. Hauser, S. Shah, W. Kraus, and K. Olden. Accelerated epigenetic age as a biomarker of cardiovascular sensitivity to traffic-related air pollution. Aging. Impact Journals, LLC, Orchard Park, NY, USA, 12(23): 24141-24155, (2020).