日本におけるCOVID-19感染による高齢者の生活への影響：Text Miningを用いた文献レビュー

This study aimed to determine the current state of research on COVID-19 in older adults in Japan. We searched original articles published in Japanese journals from January 15, 2020, to August 4, 2021, with the terms “older adult” and “COVID-19”，and identified 33 articles. We analyzed them by quantitative text mining with KH Coder （ver.3.0） software, and keyword in context concordance was used to confirm the context and content of group-generated words, and each group was given a name that characterized its contents. The most frequent words were “COVID-19,” “infection,” and “activity.” In the co-occurrence network analysis of words, “PCR test,” “fever,” and “COVID-19” had high mediation centrality. We used subgraph detection to classify the top 50 words into 5 groups: “Diagnosis by PCR test, and respiratory and circulatory management for severe cases,” “Presented to the clinic with fever as the major symptom,” “Effective treatment method,” “Reduction of social participation by refraining from going out,” and “Adopting a new lifestyle.” In future, the data on more cases and long-term follow-up are needed. There is an urgent need to support vulnerable older adults at risk of social isolation to help them develop and maintain a new lifestyle in a society.