COVID-19 GPH

COVID-19 GPH curates and aggregates PubMed-indexed publications on pathogen and human genomics, machine learning, artificial intelligence, and precision health related to SARS-CoV-2 to support tracking and quantifying genomics contributions to the COVID-19 response.

Key Features:

• Provenance: Developed by the Office of Genomics and Precision Public Health at the Centers for Disease Control and Prevention (CDC).
• Content scope: Contains 31,597 articles as of February 11, 2022, representing approximately 10% of COVID-19-related literature indexed on PubMed.
• Content composition: Approximately 72% of entries focus on pathogen and human genomics and 28% describe applications of machine learning and artificial intelligence in COVID-19 research and control.
• Curation approach: Combines machine learning algorithms with manual curation to select and maintain records.
• Data source: Aggregates publications indexed on PubMed relevant to genomics and precision health for COVID-19.

Scientific Applications:

• Tracking genomics contributions: Quantifies and monitors how pathogen and human genomics inform the COVID-19 response.
• Monitoring ML/AI applications: Identifies and catalogs machine learning and artificial intelligence studies applied to COVID-19 investigation and control.
• Supporting public health investigations: Provides a curated publication set to inform genomic and precision-health–based public health analyses.
• Cross-disciplinary research synthesis: Serves as a literature resource for researchers in microbiology, medicine, and social sciences studying genomics and precision health during the pandemic.

Methodology:

Content is sourced from PubMed-indexed literature and curated using machine learning algorithms combined with manual curation and continuous updates.