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The selection of COVID-19 epidemic prevention and control programs based on group decision-making
COVID-19 has been wreaking havoc on the world for close to two years. As the virus continues to mutate, epidemic prevention and control has become a long and experienced war. In the face of the sudden spread of virus strains, how to quickly and effectively formulate prevention and control plans are...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8724238/ https://www.ncbi.nlm.nih.gov/pubmed/35004130 http://dx.doi.org/10.1007/s40747-021-00620-6 |
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author | Cui, Chunsheng Li, Baiqiu Wang, Liu |
author_facet | Cui, Chunsheng Li, Baiqiu Wang, Liu |
author_sort | Cui, Chunsheng |
collection | PubMed |
description | COVID-19 has been wreaking havoc on the world for close to two years. As the virus continues to mutate, epidemic prevention and control has become a long and experienced war. In the face of the sudden spread of virus strains, how to quickly and effectively formulate prevention and control plans are essential to ensuring the safety and social stability of cities. This paper is based on the characteristics, namely, its persistence and the high transmissibility of mutated strains, as well as the database of epidemic prevention and control plans formed as part of the existing prevention and control measures. Then, epidemic prevention experts select effective alternatives from the program database and rank their preferences through the preliminary analysis of the local epidemic situation. The process of the integration scheme aims to minimize the differences in an effort to maximize the needs of the local epidemic. Once the consensus ranking of the scheme is obtained, the final prevention and control scheme can be determined. The proposed method of this paper can optimize the opinions of the epidemic prevention expert group and form a consensus decision, whilst also saving time by carrying out the work effectively, which is of certain practical significance to the prevention and control effect of local outbreaks. |
format | Online Article Text |
id | pubmed-8724238 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-87242382022-01-04 The selection of COVID-19 epidemic prevention and control programs based on group decision-making Cui, Chunsheng Li, Baiqiu Wang, Liu Complex Intell Systems Original Article COVID-19 has been wreaking havoc on the world for close to two years. As the virus continues to mutate, epidemic prevention and control has become a long and experienced war. In the face of the sudden spread of virus strains, how to quickly and effectively formulate prevention and control plans are essential to ensuring the safety and social stability of cities. This paper is based on the characteristics, namely, its persistence and the high transmissibility of mutated strains, as well as the database of epidemic prevention and control plans formed as part of the existing prevention and control measures. Then, epidemic prevention experts select effective alternatives from the program database and rank their preferences through the preliminary analysis of the local epidemic situation. The process of the integration scheme aims to minimize the differences in an effort to maximize the needs of the local epidemic. Once the consensus ranking of the scheme is obtained, the final prevention and control scheme can be determined. The proposed method of this paper can optimize the opinions of the epidemic prevention expert group and form a consensus decision, whilst also saving time by carrying out the work effectively, which is of certain practical significance to the prevention and control effect of local outbreaks. Springer International Publishing 2022-01-04 2022 /pmc/articles/PMC8724238/ /pubmed/35004130 http://dx.doi.org/10.1007/s40747-021-00620-6 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Original Article Cui, Chunsheng Li, Baiqiu Wang, Liu The selection of COVID-19 epidemic prevention and control programs based on group decision-making |
title | The selection of COVID-19 epidemic prevention and control programs based on group decision-making |
title_full | The selection of COVID-19 epidemic prevention and control programs based on group decision-making |
title_fullStr | The selection of COVID-19 epidemic prevention and control programs based on group decision-making |
title_full_unstemmed | The selection of COVID-19 epidemic prevention and control programs based on group decision-making |
title_short | The selection of COVID-19 epidemic prevention and control programs based on group decision-making |
title_sort | selection of covid-19 epidemic prevention and control programs based on group decision-making |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8724238/ https://www.ncbi.nlm.nih.gov/pubmed/35004130 http://dx.doi.org/10.1007/s40747-021-00620-6 |
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