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Measuring the impact of the COVID-19 epidemic on university resumption and suggestions for countermeasures
BACKGROUND: During the COVID-19 pandemic, universities around the world had to find a balance between the need to resume classes and prevent the spread of the virus by ensuring the health of students. The purpose of our study was to effectively assess the overall risk of universities reopening durin...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9806250/ https://www.ncbi.nlm.nih.gov/pubmed/36600936 http://dx.doi.org/10.3389/fpubh.2022.1037818 |
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author | Yin, Shi Ma, Lijun Dong, Tong Wang, Ying |
author_facet | Yin, Shi Ma, Lijun Dong, Tong Wang, Ying |
author_sort | Yin, Shi |
collection | PubMed |
description | BACKGROUND: During the COVID-19 pandemic, universities around the world had to find a balance between the need to resume classes and prevent the spread of the virus by ensuring the health of students. The purpose of our study was to effectively assess the overall risk of universities reopening during the COVID-19 epidemic. DESIGN AND METHODS: Using the pressure–state–response model, we designed a risk evaluation method from a disaster management perspective. First, we performed a literature review to find the main factors affecting the virus spread. Second, we used the pressure–state–response to represent how the considered hazards acts and interacts before grouping them as disaster and vulnerability factors. Third, we assigned to all factors a risk function ranging from 1 to 4. Fourth, we modeled the risk indexes of disaster and of system vulnerability through simple and appropriate weights and combined them in an overall risk for the university resumption. Finally, we showed how the method works by evaluating the reopening of the Hebei Province University in 2022 and highlighted the resulting advice for reducing related risks. RESULTS: Our model included 20 risk factors, six representing exogenous hazards (disaster factors) that university can only monitor and 14 related to system vulnerability that can also control. Disaster factors included epidemic risk level of students' residence and the school's location, means of transportation back to school, size of the university population, the number of migrants on and off campus and express carrier infection. Vulnerability factors included student behaviors, routine campus activities and all the other actions the university can take to control the virus spread. The university of Baoding city (Hebei Province) showed a disaster risk of 1.880 and a vulnerability of 1.666 which combined provided a low risk of school resumption. CONCLUSION: Our study judged the risks involved in resuming school and put forward specific countermeasures for reducing the risk levels. This not only protects public health security but also has some practical implications for improving the evaluation and rational decision-making abilities of all parties. |
format | Online Article Text |
id | pubmed-9806250 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-98062502023-01-03 Measuring the impact of the COVID-19 epidemic on university resumption and suggestions for countermeasures Yin, Shi Ma, Lijun Dong, Tong Wang, Ying Front Public Health Public Health BACKGROUND: During the COVID-19 pandemic, universities around the world had to find a balance between the need to resume classes and prevent the spread of the virus by ensuring the health of students. The purpose of our study was to effectively assess the overall risk of universities reopening during the COVID-19 epidemic. DESIGN AND METHODS: Using the pressure–state–response model, we designed a risk evaluation method from a disaster management perspective. First, we performed a literature review to find the main factors affecting the virus spread. Second, we used the pressure–state–response to represent how the considered hazards acts and interacts before grouping them as disaster and vulnerability factors. Third, we assigned to all factors a risk function ranging from 1 to 4. Fourth, we modeled the risk indexes of disaster and of system vulnerability through simple and appropriate weights and combined them in an overall risk for the university resumption. Finally, we showed how the method works by evaluating the reopening of the Hebei Province University in 2022 and highlighted the resulting advice for reducing related risks. RESULTS: Our model included 20 risk factors, six representing exogenous hazards (disaster factors) that university can only monitor and 14 related to system vulnerability that can also control. Disaster factors included epidemic risk level of students' residence and the school's location, means of transportation back to school, size of the university population, the number of migrants on and off campus and express carrier infection. Vulnerability factors included student behaviors, routine campus activities and all the other actions the university can take to control the virus spread. The university of Baoding city (Hebei Province) showed a disaster risk of 1.880 and a vulnerability of 1.666 which combined provided a low risk of school resumption. CONCLUSION: Our study judged the risks involved in resuming school and put forward specific countermeasures for reducing the risk levels. This not only protects public health security but also has some practical implications for improving the evaluation and rational decision-making abilities of all parties. Frontiers Media S.A. 2022-12-19 /pmc/articles/PMC9806250/ /pubmed/36600936 http://dx.doi.org/10.3389/fpubh.2022.1037818 Text en Copyright © 2022 Yin, Ma, Dong and Wang. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Public Health Yin, Shi Ma, Lijun Dong, Tong Wang, Ying Measuring the impact of the COVID-19 epidemic on university resumption and suggestions for countermeasures |
title | Measuring the impact of the COVID-19 epidemic on university resumption and suggestions for countermeasures |
title_full | Measuring the impact of the COVID-19 epidemic on university resumption and suggestions for countermeasures |
title_fullStr | Measuring the impact of the COVID-19 epidemic on university resumption and suggestions for countermeasures |
title_full_unstemmed | Measuring the impact of the COVID-19 epidemic on university resumption and suggestions for countermeasures |
title_short | Measuring the impact of the COVID-19 epidemic on university resumption and suggestions for countermeasures |
title_sort | measuring the impact of the covid-19 epidemic on university resumption and suggestions for countermeasures |
topic | Public Health |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9806250/ https://www.ncbi.nlm.nih.gov/pubmed/36600936 http://dx.doi.org/10.3389/fpubh.2022.1037818 |
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