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Optimization and Operations Research in Mitigation of a Pandemic
The pandemic of COVID-19 initiated in 2019 and spread all over the world in 2020 has caused significant damages to the human society, making troubles to all aspects of our daily life. Facing the serious outbreak of the virus, we consider possible solutions from the perspectives of both governments a...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9094736/ http://dx.doi.org/10.1007/s40305-022-00391-y |
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author | Chen, Cai-Hua Du, Yu-Hang Ge, Dong-Dong Lei, Lin Ye, Yin-Yu |
author_facet | Chen, Cai-Hua Du, Yu-Hang Ge, Dong-Dong Lei, Lin Ye, Yin-Yu |
author_sort | Chen, Cai-Hua |
collection | PubMed |
description | The pandemic of COVID-19 initiated in 2019 and spread all over the world in 2020 has caused significant damages to the human society, making troubles to all aspects of our daily life. Facing the serious outbreak of the virus, we consider possible solutions from the perspectives of both governments and enterprises. Particularly, this paper discusses several applications of supply chain management, public resource allocation, and pandemic prevention using optimization and machine learning methods. Some useful insights in mitigating the pandemic and economy reopening are provided at the end of this paper. These insights might help governments to reduce the severity of the current pandemic and prevent the next round of outbreak. They may also improve companies’ reactions to the increasing uncertainties appearing in the business operations. Although the coronavirus imposes challenges to the entire society at the moment, we are confident to develop new techniques to prevent and eradicate the disease. |
format | Online Article Text |
id | pubmed-9094736 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-90947362022-05-12 Optimization and Operations Research in Mitigation of a Pandemic Chen, Cai-Hua Du, Yu-Hang Ge, Dong-Dong Lei, Lin Ye, Yin-Yu J. Oper. Res. Soc. China Article The pandemic of COVID-19 initiated in 2019 and spread all over the world in 2020 has caused significant damages to the human society, making troubles to all aspects of our daily life. Facing the serious outbreak of the virus, we consider possible solutions from the perspectives of both governments and enterprises. Particularly, this paper discusses several applications of supply chain management, public resource allocation, and pandemic prevention using optimization and machine learning methods. Some useful insights in mitigating the pandemic and economy reopening are provided at the end of this paper. These insights might help governments to reduce the severity of the current pandemic and prevent the next round of outbreak. They may also improve companies’ reactions to the increasing uncertainties appearing in the business operations. Although the coronavirus imposes challenges to the entire society at the moment, we are confident to develop new techniques to prevent and eradicate the disease. Springer Berlin Heidelberg 2022-05-11 2022 /pmc/articles/PMC9094736/ http://dx.doi.org/10.1007/s40305-022-00391-y Text en © Operations Research Society of China, Periodicals Agency of Shanghai University, Science Press, and Springer-Verlag GmbH Germany, part of Springer Nature 2022 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Article Chen, Cai-Hua Du, Yu-Hang Ge, Dong-Dong Lei, Lin Ye, Yin-Yu Optimization and Operations Research in Mitigation of a Pandemic |
title | Optimization and Operations Research in Mitigation of a Pandemic |
title_full | Optimization and Operations Research in Mitigation of a Pandemic |
title_fullStr | Optimization and Operations Research in Mitigation of a Pandemic |
title_full_unstemmed | Optimization and Operations Research in Mitigation of a Pandemic |
title_short | Optimization and Operations Research in Mitigation of a Pandemic |
title_sort | optimization and operations research in mitigation of a pandemic |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9094736/ http://dx.doi.org/10.1007/s40305-022-00391-y |
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