The Role of Simulation Science in Public Health at the Agency for Toxic Substances and Disease Registry: An Overview and Analysis of the Last Decade.

Siddhi Desai, Jewell Wilson, Chao Ji, Jason Sautner, Andrew J Prussia, Eugene Demchuk, M Moiz Mumtaz, Patricia Ruiz
Author Information
  1. Siddhi Desai: Oak Ridge Institute for Science and Education, Oak Ridge, TN 37830, USA.
  2. Jewell Wilson: Office of Innovation and Analytics, Agency for Toxic Substances and Disease Registry, Atlanta, GA 30329, USA.
  3. Chao Ji: Office of Innovation and Analytics, Agency for Toxic Substances and Disease Registry, Atlanta, GA 30329, USA.
  4. Jason Sautner: Office of Innovation and Analytics, Agency for Toxic Substances and Disease Registry, Atlanta, GA 30329, USA.
  5. Andrew J Prussia: Office of Innovation and Analytics, Agency for Toxic Substances and Disease Registry, Atlanta, GA 30329, USA. ORCID
  6. Eugene Demchuk: Office of Innovation and Analytics, Agency for Toxic Substances and Disease Registry, Atlanta, GA 30329, USA.
  7. M Moiz Mumtaz: Office of Associate Director for Science, Agency for Toxic Substances and Disease Registry, Atlanta, GA 30329, USA.
  8. Patricia Ruiz: Office of Innovation and Analytics, Agency for Toxic Substances and Disease Registry, Atlanta, GA 30329, USA.

Abstract

Environmental exposures are ubiquitous and play a significant, and sometimes understated, role in public health as they can lead to the development of various chronic and infectious diseases. In an ideal world, there would be sufficient experimental data to determine the health effects of exposure to priority environmental contaminants. However, this is not the case, as emerging chemicals are continuously added to this list, furthering the data gaps. Recently, simulation science has evolved and can provide appropriate solutions using a multitude of computational methods and tools. In its quest to protect communities across the country from environmental health threats, ATSDR employs a variety of simulation science tools such as Physiologically Based Pharmacokinetic (PBPK) modeling, Quantitative Structure-Activity Relationship (QSAR) modeling, and benchmark dose (BMD) modeling, among others. ATSDR's use of such tools has enabled the agency to evaluate exposures in a timely, efficient, and effective manner. ATSDR's work in simulation science has also had a notable impact beyond the agency, as evidenced by external researchers' widespread appraisal and adaptation of the agency's methodology. ATSDR continues to advance simulation science tools and their applications by collaborating with researchers within and outside the agency, including other federal/state agencies, NGOs, the private sector, and academia.

Keywords

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