Systematic Organization of COVID-19 Data Supported by the Adverse Outcome Pathway Framework.

Nymark P, Sachana M, Leite SB, Sund J, Krebs CE, Sullivan K, Edwards S, Viviani L, Willett C, Landesmann B, Wittwehr C

Front Public Health 9 (-) 638605 [2021-05-19; online 2021-05-19]

Adverse Outcome Pathways (AOP) provide structured frameworks for the systematic organization of research data and knowledge. The AOP framework follows a set of key principles that allow for broad application across diverse disciplines related to human health, including toxicology, pharmacology, virology and medical research. The COVID-19 pandemic engages a great number of scientists world-wide and data is increasing with exponential speed. Diligent data management strategies are employed but approaches for systematically organizing the data-derived information and knowledge are lacking. We believe AOPs can play an important role in improving interpretation and efficient application of scientific understanding of COVID-19. Here, we outline a newly initiated effort, the CIAO project (https://www.ciao-covid.net/), to streamline collaboration between scientists across the world toward development of AOPs for COVID-19, and describe the overarching aims of the effort, as well as the expected outcomes and research support that they will provide.

Category: Public Health

Type: Journal article

PubMed 34095051

DOI 10.3389/fpubh.2021.638605

Crossref 10.3389/fpubh.2021.638605

pmc: PMC8170012


Publications 7.1.2