The Formulation of Epidemic Prevention Work of COVID-19 for Colleges and Universities: Priorities and Recommendations
Open Access
- 15 February 2021
- journal article
- research article
- Published by MDPI AG in Sustainability
- Vol. 13 (4), 2081
- https://doi.org/10.3390/su13042081
Abstract
As the Coronavirus disease 2019 (COVID-19) epidemic spreads all over the world, governments of various countries are actively adopting epidemic prevention measures to curb the spread of the disease. However, colleges and universities are one of the most likely places for cluster infections. The main reason is that college students have frequent social activities, and many students come from different countries, which may very likely cause college campuses to be entry points of disease transmission. Therefore, this study proposes a framework of epidemic prevention work, and further explores the importance and priority of epidemic prevention works. First of all, 32 persons in charge of epidemic prevention from various universities in Taiwan were invited to jointly formulate a campus epidemic prevention framework and determined 5 dimensions and 36 epidemic prevention works/measures/criteria. Next, Bayesian best worst method (BWM) was used to generate a set of optimal group criteria weights. This method can not only integrate the opinions of multiple experts, but also effectively reduce the complexity of expert interviews to obtain more reliable results. The results show that the five most important measures for campus epidemic prevention are the establishment of a campus epidemic prevention organization, comprehensive disinfection of the campus environment, maintenance of indoor ventilation, proper isolation of contacts with confirmed cases, and management of immigration regulations for overseas students. This study provides colleges and universities around the world to formulate anti-epidemic measures to effectively reduce the probability of COVID-19 transmission on campuses to protect students’ right to education.This publication has 27 references indexed in Scilit:
- Bayesian best-worst method: A probabilistic group decision making modelOmega, 2020
- Online teaching-learning in higher education during lockdown period of COVID-19 pandemicInternational Journal of Educational Research Open, 2020
- Evaluation of disinfection procedures in a designated hospital for COVID-19American Journal of Infection Control, 2020
- Campus traffic and e-Learning during COVID-19 pandemicComputer Networks, 2020
- Sustainability Education in Risks and Crises: Lessons from Covid-19Sustainability, 2020
- Capacity of local authority and community on epidemic response in Vietnam: Implication for COVID-19 preparednessSafety Science, 2020
- COVID-19 Pandemic: Prevention and Protection Measures to Be Adopted at the WorkplaceSustainability, 2020
- Application of refined management in prevention and control of the coronavirus disease 2019 epidemic in non-isolated areas of a general hospitalInternational Journal of Nursing Sciences, 2020
- A hybrid MCDM-based FMEA model for identification of critical failure modes in manufacturingSoft Computing, 2020
- Establishing a Sustainable Sports Tourism Evaluation Framework with a Hybrid Multi-Criteria Decision-Making Model to Explore Potential Sports Tourism Attractions in TaiwanSustainability, 2020