Evidence map›Paper›PMID 39590991›Full record

ArticleToxics2024

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

Abstract read
In one paragraph

Article in Toxics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Siddhi DesaiOak Ridge Institute for Science and Education, Oak Ridge, TN 37830, USA.
Jewell WilsonOffice of Innovation and Analytics, Agency for Toxic Substances and Disease Registry, Atlanta, GA 30329, USA.
Chao JiOffice of Innovation and Analytics, Agency for Toxic Substances and Disease Registry, Atlanta, GA 30329, USA.
Jason SautnerOffice of Innovation and Analytics, Agency for Toxic Substances and Disease Registry, Atlanta, GA 30329, USA.
Andrew J PrussiaOffice of Innovation and Analytics, Agency for Toxic Substances and Disease Registry, Atlanta, GA 30329, USA.ORCID 0000-0002-7038-9520
Eugene DemchukOffice of Innovation and Analytics, Agency for Toxic Substances and Disease Registry, Atlanta, GA 30329, USA.
M Moiz MumtazOffice of Associate Director for Science, Agency for Toxic Substances and Disease Registry, Atlanta, GA 30329, USA.
Patricia RuizOffice of Innovation and Analytics, Agency for Toxic Substances and Disease Registry, Atlanta, GA 30329, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

BMDcomputational toxicologyfate and transport modelingmachine learning modelingPBPKpredictive toxicologyQSARsimulation sciences

Identifiers

PMID39590991
PMCPMC11598116

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.