Extracting Long COVID Knowledge from LitCovid: A Glossary-Based Approach

Atsuko Yamaguchi, Reo Takeda, Yuka Tateisi

Abstract: This paper presents a method for extracting knowledge from the literature indexed in LitCovid related to Post-COVID Syndrome, commonly referred to as long COVID. To do so, we constructed a glossary of symptoms related to long COVID, and assigning Medical Subject Headings (MeSH) UIDs to facilitate analysis of long COVID literature. Through this process, the distribution of long COVID related terms within the hierarchical structure of MeSH can be examined. Additionally, we explored trends in long COVID by using the years of publications of papers in LitCovid and investigated associations between long COVID and SARS-CoV-2 variants.