Abstract

The Data Management and Modeling Core (DMMC) will provide for the efficient collection, cleaning and effective management of the biomedical, xenobiotic, demographic and environmental data being collected and analyzed across the PRoTECT project. This core will also provide support for environment contamination fate and transport modeling, GIS support, multi-dimensional data mining and visualization and programming expertise to build customized user interfaces that allow for efficient and accurate data entry and data analysis. A key feature will be to provide all of these services via the Internet to support the distributed university model present within the PRoTECT project. The DMMC will allow for the effective dissemination of GIS-based data presentation and support both modeling and data analysis tools developed or purchased to support the research efforts in this Program.

Public Health Relevance

The PRoTECT Data Management and Modeling Core will provide database, GIS, modeling and analysis capabilities to teams of engineers and scientists that are studying soil and groundwater contamination, specifically Superfund contamination, and their effect on the preterm birth rate.

  Funding Agency

Agency
National Institute of Health (NIH)
Institute
National Institute of Environmental Health Sciences (NIEHS)
Type
Hazardous Substances Basic Research Grants Program (NIEHS) (P42)
Project #
5P42ES017198-03
Application #
8375207
Study Section
Special Emphasis Panel (ZES1-LWJ-M)
Project Start
Project End
Budget Start
2012-04-01
Budget End
2013-03-31
Support Year
3
Fiscal Year
2012
Total Cost
$214,087
Indirect Cost
$86,444

  Institution

Name
Northeastern University
Department
Type
DUNS #
001423631
City
Boston
State
MA
Country
United States
Zip Code
02115

  Publications

Bedrosian, Leah D; Ferguson, Kelly K; Cantonwine, David E et al. (2018) Urinary phthalate metabolite concentrations in relation to levels of circulating matrix metalloproteinases in pregnant women. Sci Total Environ 613-614:1349-1352
Nazari, Roya; Raji?, Ljiljana; Xue, Yunfei et al. (2018) Degradation of 4-Chlorophenol in Aqueous Solution by Sono-Electro-Fenton Process. Int J Electrochem Sci 13:9214-9230
Zhou, Wei; Meng, Xiaoxiao; Rajic, Ljiljana et al. (2018) ""Floating"" cathode for efficient H2O2 electrogeneration applied to degradation of ibuprofen as a model pollutant. Electrochem commun 96:37-41
Ashrap, Pahriya; Watkins, Deborah J; Calafat, Antonia M et al. (2018) Elevated concentrations of urinary triclocarban, phenol and paraben among pregnant women in Northern Puerto Rico: Predictors and trends. Environ Int 121:990-1002
Ferguson, Kelly K; Meeker, John D; Cantonwine, David E et al. (2018) Environmental phenol associations with ultrasound and delivery measures of fetal growth. Environ Int 112:243-250
Cathey, Amber; Ferguson, Kelly K; McElrath, Thomas F et al. (2018) Distribution and predictors of urinary polycyclic aromatic hydrocarbon metabolites in two pregnancy cohort studies. Environ Pollut 232:556-562
Lan, Jiaqi; Rahman, Sheikh Mokhlesur; Gou, Na et al. (2018) Genotoxicity Assessment of Drinking Water Disinfection Byproducts by DNA Damage and Repair Pathway Profiling Analysis. Environ Sci Technol 52:6565-6575
Wang, Poguang; Giese, Roger W (2018) Interpretation of Mass Spectral Data for the Cisplatin 1,2 Intrastrand Guanine-Guanine Adduct. Chem Res Toxicol 31:1106-1107
Hojabri, Shirin; Rajic, Ljiljana; Alshawabkeh, Akram N (2018) Transient reactive transport model for physico-chemical transformation by electrochemical reactive barriers. J Hazard Mater 358:171-177
Ferguson, Kelly K; Kamai, Elizabeth M; Cantonwine, David E et al. (2018) Associations between repeated ultrasound measures of fetal growth and biomarkers of maternal oxidative stress and inflammation in pregnancy. Am J Reprod Immunol 80:e13017

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