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...
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| Published in | Complex & intelligent systems Vol. 8; no. 2; pp. 1653 - 1662 |
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| Main Authors | , , |
| Format | Journal Article |
| Language | English |
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Cham
Springer International Publishing
01.04.2022
Springer Nature B.V |
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| Abstract | 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. |
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| AbstractList | 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. Abstract 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. |
| Author | Wang, Liu Li, Baiqiu Cui, Chunsheng |
| Author_xml | – sequence: 1 givenname: Chunsheng surname: Cui fullname: Cui, Chunsheng organization: College of Computer and Information Engineering, Henan University of Economics and Law – sequence: 2 givenname: Baiqiu orcidid: 0000-0001-7670-1266 surname: Li fullname: Li, Baiqiu email: lbqlbq1998@163.com organization: College of Computer and Information Engineering, Henan University of Economics and Law – sequence: 3 givenname: Liu surname: Wang fullname: Wang, Liu organization: College of Computer and Information Engineering, Henan University of Economics and Law |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/35004130$$D View this record in MEDLINE/PubMed |
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| Cites_doi | 10.1016/j.mathsocsci.2021.07.001 10.2307/1954283 10.1080/22221751.2020.1838246 10.1002/int.22361 10.1287/mnsc.28.6.621 10.1007/s10726-020-09655-5 10.1287/mnsc.24.16.1721 10.1016/j.ejor.2005.03.048 10.1016/j.ejor.2018.11.047 10.1007/s40815-020-00993-9 10.1016/j.chaos.2020.110242 10.1006/jeth.2001.2811 10.1073/pnas.2010470117 10.1007/s40747-020-00141-8 10.1016/j.dss.2015.08.009 10.1007/s10726-014-9396-4 10.1287/mnsc.1070.0838 10.1016/j.chaos.2020.109949 10.1016/j.inffus.2020.12.003 10.1051/ro/1981150302871 10.1016/j.chaos.2020.109794 10.1007/s10726-020-09684-0 10.4135/9781452231389 10.1016/j.ejor.2010.03.011 10.3390/healthcare9020196 10.3390/healthcare8020181 10.1109/FUZZ-IEEE.2015.7337821 |
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| Keywords | Alternative ranking Epidemic prevention and control Group decision making Consensus reaching |
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| SubjectTerms | Complexity Computational Intelligence Coronaviruses COVID-19 Data Structures and Information Theory Decision making Disease control Engineering Epidemics Original Original Article Prevention Viral diseases Viruses |
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| Title | The selection of COVID-19 epidemic prevention and control programs based on group decision-making |
| URI | https://link.springer.com/article/10.1007/s40747-021-00620-6 https://www.ncbi.nlm.nih.gov/pubmed/35004130 https://www.proquest.com/docview/2656975971 https://search.proquest.com/docview/2618504442 https://pubmed.ncbi.nlm.nih.gov/PMC8724238 |
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