{"title":"Vaccine Rational Distribution Program","authors":"Yiran Niu, Zhenyang Zhang, Qianling Shui","doi":"10.1109/UV56588.2022.10185498","DOIUrl":null,"url":null,"abstract":"In the post-epidemic era, vaccination has become an important measure to protect the general public. In this paper, we use an ARIMA model to predict the daily number of vaccinations nationwide for the next three months by analyzing data on vaccination rates as well as the number of inhabitants, taking into account a variety of practical factors, in conjunction with the current state of the times. Indicators are rationally established, and the distribution problem is transformed into a problem of evaluating the importance of each indicator, using a simulated annealing algorithm to solve for vaccine distribution ratios for cities, neighborhoods, and towns, and to provide a reasonable vaccine distribution plan, as detailed in the model description.","PeriodicalId":211011,"journal":{"name":"2022 6th International Conference on Universal Village (UV)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 6th International Conference on Universal Village (UV)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/UV56588.2022.10185498","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In the post-epidemic era, vaccination has become an important measure to protect the general public. In this paper, we use an ARIMA model to predict the daily number of vaccinations nationwide for the next three months by analyzing data on vaccination rates as well as the number of inhabitants, taking into account a variety of practical factors, in conjunction with the current state of the times. Indicators are rationally established, and the distribution problem is transformed into a problem of evaluating the importance of each indicator, using a simulated annealing algorithm to solve for vaccine distribution ratios for cities, neighborhoods, and towns, and to provide a reasonable vaccine distribution plan, as detailed in the model description.