LitCovid 2022

LitCovid 2022 curates SARS-CoV-2 and COVID-19 literature from the NCBI Coronavirus resource to support tracking, annotation, and classification of research on long COVID, SARS-CoV-2 variants (e.g., Omicron), and vaccines.

Key Features:

• Continuous updates: Continuously ingests and updates publications from the NCBI Coronavirus resource.
• Curated repository: Maintains a curated repository of approximately 300,000 COVID-19–related articles.
• Long COVID collection: Provides a specialized collection compiling research on long COVID, including respiratory issues, cardiovascular disease, cognitive impairment, and profound fatigue.
• Variant and vaccine annotations: Supplies enhanced annotations on recent SARS-CoV-2 strains, including Omicron, and on vaccines.
• Machine learning annotation and classification: Integrates machine learning algorithms to annotate topics and classify articles relevant to COVID-19.

Scientific Applications:

• Literature surveillance: Enables tracking and aggregation of emerging SARS-CoV-2 and COVID-19 research, including variant trends such as Omicron.
• Long COVID research synthesis: Centralizes studies on long COVID symptomatology and multisystemic effects (respiratory, cardiovascular, cognitive, fatigue).
• Vaccine and variant research annotation: Annotates literature related to vaccines and SARS-CoV-2 variants to support comparative and trend analyses.
• Article discovery and classification: Supports topic-based retrieval and classification of COVID-19 articles for researchers and public health stakeholders.

Methodology:

Integrates machine learning algorithms for topic annotation and article classification and continuously ingests new publications from the NCBI Coronavirus resource.