{"title":"从阶段空间分析大流行病","authors":"Olivier Merlo","doi":"arxiv-2408.08036","DOIUrl":null,"url":null,"abstract":"Based on the SIRD-model a new model including time-delay is proposed for a\ndescription of the outbreak of the novel coronavirus Sars-CoV-2 pandemic. All\ndata were analysed by representing all quantities as a function of the\nsusceptible population, as opposed to the usual dependence on time. The total\nnumber of deaths could be predicted for the first, second and third wave of the\npandemic in Germany with an accuracy of about 10\\%, shortly after the maximum\nof infectious people was reached. By using the presentation in phase space, it\ncould be shown that a classical SEIRD- and SIRD-model with constant parameters\nwill not be able to describe the first wave of the pandemic accurately.","PeriodicalId":501044,"journal":{"name":"arXiv - QuanBio - Populations and Evolution","volume":"5 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Analysing pandemics in phase-space\",\"authors\":\"Olivier Merlo\",\"doi\":\"arxiv-2408.08036\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Based on the SIRD-model a new model including time-delay is proposed for a\\ndescription of the outbreak of the novel coronavirus Sars-CoV-2 pandemic. All\\ndata were analysed by representing all quantities as a function of the\\nsusceptible population, as opposed to the usual dependence on time. The total\\nnumber of deaths could be predicted for the first, second and third wave of the\\npandemic in Germany with an accuracy of about 10\\\\%, shortly after the maximum\\nof infectious people was reached. By using the presentation in phase space, it\\ncould be shown that a classical SEIRD- and SIRD-model with constant parameters\\nwill not be able to describe the first wave of the pandemic accurately.\",\"PeriodicalId\":501044,\"journal\":{\"name\":\"arXiv - QuanBio - Populations and Evolution\",\"volume\":\"5 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-08-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"arXiv - QuanBio - Populations and Evolution\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/arxiv-2408.08036\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - QuanBio - Populations and Evolution","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2408.08036","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Based on the SIRD-model a new model including time-delay is proposed for a
description of the outbreak of the novel coronavirus Sars-CoV-2 pandemic. All
data were analysed by representing all quantities as a function of the
susceptible population, as opposed to the usual dependence on time. The total
number of deaths could be predicted for the first, second and third wave of the
pandemic in Germany with an accuracy of about 10\%, shortly after the maximum
of infectious people was reached. By using the presentation in phase space, it
could be shown that a classical SEIRD- and SIRD-model with constant parameters
will not be able to describe the first wave of the pandemic accurately.