Table 2.

Overview of different systems for COVID-19 data management, focusing on their design, adaptability, visualization capabilities, and tools integration.

Feature	KnowVID-19	CovidPubGraph	KG-COVID-19
User-Centric Design	Tailored information retrieval for specific research needs.	Broad dataset integration without a focus on individual user queries.	Framework for producing customizable KGs for various COVID-19 applications.
Adaptability	Easily customizable to various scientific topics.	Structured for COVID-19 publications with emphasis on dataset interoperability.	Flexible framework for integrating biomedical data.
Integrated Tools	Leverages multiple Python libraries for robust processing.	Focuses on named entity recognition and linking.	Uses KGX for graph manipulation, and emphasizing data summarization.
Contextual Visualization	Visual representation of linkages between information.	Data linkage and interoperability without emphasis on visual context.	Supports hypothesis-based querying and visualization.
Precision in Information Extraction	Offers refined search outputs for highly specific datasets or insights.	Broad overview and linkage of publications, not tailored for specific queries.	Supports complex queries for drug repurposing and disease understanding.
Dynamic Adaptation	Capable of adapting to new information sources and formats.	Updated regularly but with less emphasis on dynamic content adaptation.	Regular updates incorporate new and updated data.
Data Visualization	Utilizes Cytoscape for intuitive network graphs.	Provides a comprehensive RDF knowledge graph without a specific focus on visual presentation.	Less emphasis on direct visual representation.
Data Sources	PubMed, PMC	CORD-19	Various biomedical sources, less specific.
Data Usage	Real-time data extraction and updating.	Regularly updated but less dynamic.	Supports regular updates, but less dynamic adaptation.
Date Extracted From	PubMed and PMC, up-to-date as of 2024	CORD-19, varies by update schedule.	Various sources, date varies by updates.
Focused Data Access	Immediate access to highly curated and categorized data.	Broad overview requiring more manual effort for specific data extraction.	Extensive data but less focused categorization.
Age Filter in the Network	Yes, allows categorizing by age range of trial participants.	No specific age range filter available.	No specific age range filter available.
Trial Phases Categorization	Yes, allows categorizing by trial phases (e.g., Phase III).	No specific trial phase categorization.	No specific trial phase categorization.
Quantity in Trials	Yes, provides details on quantities used in trials.	No detailed quantity information available.	No detailed quantity information available.