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One-Size-Fits-All Policies Are Unacceptable

A Sustainable Management and Decision-Making Model for Schools in the Post-Covid-19 Era

Bibliographic Data

ID15504690
AuthorsCunwei Yang (0000-0001-5983-3136, Southwest University), Weiqing Wang (0000-0003-0197-3106, Southwest University, corresponding author), Fengying Li (0000-0003-1727-1416, Nanjing University of Information Science and Technology), Degang Yang (0000-0002-2774-921X, Chinese Academy of Sciences)
Year2022
Volume19
Issue10
Pages5913-5913
Publication date2022-05-12
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueInternational Journal of Environmental Research and Public Health (JOURNAL)
Journal identifiersISSN: 1661-7827 • E-ISSN: 1660-4601
PublisherMultidisciplinary Digital Publishing Institute (PUBLISHER • CH)
DOI10.3390/ijerph19105913
PMID35627450
OpenAlexW4280618872
LanguageEN
References cited7

This paper proposes a sustainable management and decision-making model for COVID-19 control in schools, which makes improvements to current policies and strategies. It is not a case study of any specific school or country. The term one-size-fits-all has two meanings: being blind to the pandemic, and conducting inflexible and harsh policies. The former strategy leads to more casualties and does potential harm to children. Conversely, under long-lasting strict policies, people feel exhausted. Therefore, some administrators pretend that they are working hard for COVID-19 control, and people pretend to follow pandemic control rules. The proposed model helps to alleviate these problems and improve management efficiency. A customized queue model is introduced to control social gatherings. An indoor-outdoor tracking system is established. Based on tracing data, we can assess people's infection risk, and allocate medical resources more effectively in case of emergency. We consider both social and technical feasibility. Test results demonstrate the improvements and effectiveness of the model. In conclusion, the model has patched up certain one-size-fits-all strategies to balance pandemic control and normal life

Business · Control (management · Coronavirus disease 2019 (COVID-19 · Economics · Harm · Operations management · Operations research · Pandemic · Risk analysis (engineering · Test (biology · Tracking (education · Computer Science · COVID-19 and Mental Health · COVID-19 Digital Contact Tracing · COVID-19 epidemiological studies · Engineering · Medicine · Psychology · Social Psychology · Artificial Intelligence

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Citation velocityhistorical
Highly citedNo
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