{"title":"Epidemic Analysis of COVID-19 in Italy by Dynamical Modelling","authors":"L. Mangoni, Marc J. Pistilli","doi":"10.2139/ssrn.3567770","DOIUrl":null,"url":null,"abstract":"Epidemic analysis by dynamical modelling is a reliable and insightful way to analyse epidemiological data in order to extract key indicators about the outbreak and to make predictions on its future course. We develop a generalised SEIR model based on Peng et al. 2020 and estimate it on a national and regional level against the data published daily by the Italian Dipartimento della Protezione Civile. We find the inflection point for Italy to have been on the 21st of March, a plausible end date to be on the 14th of May and expect the total number of infected people to be between 155 thousand and 185 thousand people.","PeriodicalId":137980,"journal":{"name":"Public Health eJournal","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"22","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Public Health eJournal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.3567770","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 22
Abstract
Epidemic analysis by dynamical modelling is a reliable and insightful way to analyse epidemiological data in order to extract key indicators about the outbreak and to make predictions on its future course. We develop a generalised SEIR model based on Peng et al. 2020 and estimate it on a national and regional level against the data published daily by the Italian Dipartimento della Protezione Civile. We find the inflection point for Italy to have been on the 21st of March, a plausible end date to be on the 14th of May and expect the total number of infected people to be between 155 thousand and 185 thousand people.
通过动态建模进行流行病分析是分析流行病学数据的一种可靠和有见地的方法,以便提取有关疫情的关键指标并对其未来进程作出预测。我们基于Peng et al. 2020开发了一个广义的SEIR模型,并根据意大利民政部门每天发布的数据在国家和地区层面进行估计。我们发现,意大利的拐点是3月21日,一个合理的结束日期是5月14日,预计感染总人数将在15.5万至18.5万人之间。