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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.<\/jats:p>","DOI":"10.1007\/s40747-021-00620-6","type":"journal-article","created":{"date-parts":[[2022,1,4]],"date-time":"2022-01-04T07:03:04Z","timestamp":1641279784000},"page":"1653-1662","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["The selection of COVID-19 epidemic prevention and control programs based on group decision-making"],"prefix":"10.1007","volume":"8","author":[{"given":"Chunsheng","family":"Cui","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7670-1266","authenticated-orcid":false,"given":"Baiqiu","family":"Li","sequence":"additional","affiliation":[]},{"given":"Liu","family":"Wang","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,1,4]]},"reference":[{"key":"620_CR1","doi-asserted-by":"publisher","first-page":"109794","DOI":"10.1016\/j.chaos.2020.109794","volume":"135","author":"S Boccaletti","year":"2020","unstructured":"Boccaletti S, Ditto W, Mindlin G, Atangana A (2020) Modeling and forecasting of epidemic spreading: the case of Covid-19 and beyond. 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