Critical success factors for epidemic emergency management in colleges and universities during COVID-19: A study based on DEMATEL method

Colleges and universities are considered as one of the "main battlefields" of epidemic prevention and control, wherein, they have difficulty in clarifying and identifying the critical points for emergency management due to the complexity and multiplicity of influencing factors. Therefore, this study aims to identify the most effective Critical Success Factors (CSFs) for COVID-19 prevention and control in China. This study uses the Decision-Making Trial and Evaluation Laboratory (DEMATEL) method. This study has finally identified five Critical Success Factors (CSFs), which are 1) the training of emergency management professionals, 2) the cultivation of coordinating abilities, 3) the establishment of an epidemic prevention and control leadership team, 4) the development of corresponding responsibility awareness, and 5) the regulation of online public opinions. By focusing on these five CSFs, it can effectively facilitate colleges and universities to optimize their entire emergency management system in the process of normalization and professionalization of campus emergency management.

Multi-perspectives systematic review on the applications of sentiment analysis for vaccine hesitancy

A substantial impediment to widespread Coronavirus disease (COVID-19) vaccination is vaccine hesitancy. Many researchers across scientific disciplines have presented countless studies in favor of COVID-19 vaccination, but misinformation on social media could hinder vaccination efforts and increase vaccine hesitancy. Nevertheless, studying people's perceptions on social media to understand their sentiment presents a powerful medium for researchers to identify the causes of vaccine hesitancy and therefore develop appropriate public health messages and interventions. To the best of the authors' knowledge, previous studies have presented vaccine hesitancy in specific cases or within one scientific discipline (i.e., social, medical, and technological). No previous study has presented findings via sentiment analysis for multiple scientific disciplines as follows: (1) social, (2) medical, public health, and (3) technology sciences. Therefore, this research aimed to review and analyze articles related to different vaccine hesitancy cases in the last 11 years and understand the application of sentiment analysis on the most important literature findings. Articles were systematically searched in Web of Science, Scopus, PubMed, IEEEXplore, ScienceDirect, and Ovid from January 1, 2010, to July 2021. A total of 30 articles were selected on the basis of inclusion and exclusion criteria. These articles were formed into a taxonomy of literature, along with challenges, motivations, and recommendations for social, medical, and public health and technology sciences. Significant patterns were identified, and opportunities were promoted towards the understanding of this phenomenon.