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{"title":"Estimation of the Duration of Covid-19 Epidemic in a Single Country, with or without Vaccinations. The Case of Bulgaria and Germany","authors":"O. Kounchev, G. Simeonov, Z. Kuncheva","doi":"10.7546/CRABS.2021.05.05","DOIUrl":null,"url":null,"abstract":"In the present paper we develop a methodology for the estimation of the duration of the Epidemic of Covid-19 in a single country, with or without vaccinations, accounting for different scenarios. Our methodology is based on a specific SEIR model, called ATVBG-SEIR model, which is explained in detail. The results are especially interesting for vaccination-free society since they show what the Covid-19 mortality would be in different scenarios. We include vaccinations in the model which are carried out according to a vaccination plan provided on a daily basis. The main constraint to be accounted by the methodology is the number of Intensive Care Units (ICU) reserved for Covid-19 patients (they are e.g. about 1100 in Bulgaria, about 8000 in Germany, etc.). A Web-based Lockdown Scenarios Tool has been developed, based on the present methodology, which is available at www.atvbg-seir.eu. Results in the paper are demonstrating the efficiency of the tool by applying it to Covid-19 data from Bulgaria and Germany, while in the tool we provide online models for Austria, Bulgaria, Germany, Italy, UK and USA. © 2021 Academic Publishing House. All rights reserved.","PeriodicalId":50652,"journal":{"name":"Comptes Rendus De L Academie Bulgare Des Sciences","volume":"41 1","pages":"677-686"},"PeriodicalIF":0.3000,"publicationDate":"2021-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Comptes Rendus De L Academie Bulgare Des Sciences","FirstCategoryId":"103","ListUrlMain":"https://doi.org/10.7546/CRABS.2021.05.05","RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"MULTIDISCIPLINARY SCIENCES","Score":null,"Total":0}
引用次数: 3
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在接种疫苗或未接种疫苗的情况下估算单个国家Covid-19流行持续时间。保加利亚和德国的案例
在本文中,我们开发了一种方法,用于估计在接种或不接种疫苗的情况下单个国家Covid-19流行的持续时间,并考虑了不同的情况。我们的方法是基于一个特定的SEIR模型,称为ATVBG-SEIR模型,这是详细解释。这些结果对于无疫苗接种的社会来说特别有趣,因为它们显示了不同情况下Covid-19的死亡率。我们在模型中包括根据每天提供的疫苗接种计划进行的疫苗接种。该方法要考虑的主要限制因素是为Covid-19患者保留的重症监护病房(ICU)的数量(例如,保加利亚约为1100个,德国约为8000个,等等)。根据目前的方法,开发了一个基于网络的封锁情景工具,可在www.atvbg-seir.eu上获得。通过将该工具应用于保加利亚和德国的Covid-19数据,本文的结果证明了该工具的有效性,而在该工具中,我们提供了奥地利、保加利亚、德国、意大利、英国和美国的在线模型。©2021学术出版社。版权所有。
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