Interdisciplinary Data Science to Advance Environmental Health Research and Improve Birth Outcomes

Details

• Alternative Title:
  Environ Res
• Personal Author:
  Stingone, Jeanette A. ; Triantafillou, Sofia ; Larsen, Alexandra ; Kitt, Jay P. ; Shaw, Gary M. ; Marsillach, Judit
• Description:
  Rates of preterm birth and low birthweight continue to rise in the United States and pose a significant public health problem. Although a variety of environmental exposures are known to contribute to these and other adverse birth outcomes, there has been a limited success in developing policies to prevent these outcomes. A better characterization of the complexities between multiple exposures and their biological responses can provide the evidence needed to inform public health policy and strengthen preventative population-level interventions. In order to achieve this, we encourage the establishment of an interdisciplinary data science framework that integrates epidemiology, toxicology and bioinformatics with biomarker-based research to better define how population-level exposures contribute to these adverse birth outcomes. The proposed interdisciplinary research framework would 1) facilitate data-driven analyses using existing data from health registries and environmental monitoring programs; 2) develop novel algorithms with the ability to predict which exposures are driving, in this case, adverse birth outcomes in the context of simultaneous exposures; and 3) refine biomarker-based research, ultimately leading to new policies and interventions to reduce the incidence of adverse birth outcomes.
• Subjects:
  Data Science Environmental Exposure Environmental Health Female Humans Infant, Newborn Infant, Premature Population Surveillance Pregnancy Pregnancy, Multiple Pregnancy Outcome Premature Birth Reproductive Techniques, Assisted United States

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• Keywords:
  Environmental Mixtures Multiple Exposures Preterm Birth Public Health Data Science
• Source:
  Environ Res. 197:111019
• Pubmed ID:
  33737076
• Pubmed Central ID:
  PMC8187296
• Document Type:
  Journal Article
• Funding:
  R00 ES027022/ES/NIEHS NIH HHSUnited States/ ; P42 ES004696/ES/NIEHS NIH HHSUnited States/ ; UL1 TR002538/TR/NCATS NIH HHSUnited States/ ; T15 LM007124/LM/NLM NIH HHSUnited States/ ; P30 ES007033/ES/NIEHS NIH HHSUnited States/ ; R01 CA220693/CA/NCI NIH HHSUnited States/ ; U01 DD001226/DD/NCBDD CDC HHSUnited States/ ; K99 ES027022/ES/NIEHS NIH HHSUnited States/ ; P30 ES009089/ES/NIEHS NIH HHSUnited States/
• Volume:
  197
• Collection(s):
  CDC Public Access
• Main Document Checksum:
  urn:sha-512:4f015bc70d14e81be847650a02e50e547813b211e4fb773bbe8e6a1c55ede1ba17cf9a83fd9220252b4c1638b599f42f7e7b739c05eeb6e7dbdc3b486fc2ad17
• Download URL:
  https://stacks.cdc.gov/view/cdc/175289/cdc_175289_DS1.pdf
• File Type:
  [PDF - 786.75 KB ]