“…Recently published studies using SNA for COVID-19 pandemic are given in Table 2 . Furthermore, several aspects of COVID-19 disease are analyzed in the literature such as prominent health issues and COVID-related public concerns using social media ( Reveilhac & Blanchard, 2022 ), public opinion and emotions regarding the COVID-19 pandemic ( Mahdikhani, 2022 ), understanding public sentiment related to COVID‐19 outbreak in Singapore ( Ridhwan & Hargreaves, 2021 ), the use of contact-tracing technology for COVID-19 disease ( Ross, 2021 ), the impact of the COVID-19 pandemic on public sector job opening ( Koch et al, 2021 ), and classification of COVID-19 cases ( Chauhan et al, 2021 ). Additionally, Karami et al (2021) used text mining to examine COVID-19 literature.…”