{"title":"针对COVID-19大流行的定向适应性隔离策略","authors":"Z. Neufeld, H. Khataee, A. Czirók","doi":"10.1101/2020.03.23.20041897","DOIUrl":null,"url":null,"abstract":"\n Abstract\n \n We investigate the effects of social distancing in controlling the impact of the COVID-19 epidemic using a simple susceptible-infected-removed epidemic model. We show that an alternative or complementary approach based on targeted isolation of the vulnerable sub-population may provide a more efficient and robust strategy at a lower economic and social cost within a shorter timeframe resulting in a collectively immune population.\n \n ","PeriodicalId":64814,"journal":{"name":"传染病建模(英文)","volume":"5 1","pages":"357 - 361"},"PeriodicalIF":3.0000,"publicationDate":"2020-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"34","resultStr":"{\"title\":\"Targeted adaptive isolation strategy for COVID-19 pandemic\",\"authors\":\"Z. Neufeld, H. Khataee, A. Czirók\",\"doi\":\"10.1101/2020.03.23.20041897\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\\n Abstract\\n \\n We investigate the effects of social distancing in controlling the impact of the COVID-19 epidemic using a simple susceptible-infected-removed epidemic model. We show that an alternative or complementary approach based on targeted isolation of the vulnerable sub-population may provide a more efficient and robust strategy at a lower economic and social cost within a shorter timeframe resulting in a collectively immune population.\\n \\n \",\"PeriodicalId\":64814,\"journal\":{\"name\":\"传染病建模(英文)\",\"volume\":\"5 1\",\"pages\":\"357 - 361\"},\"PeriodicalIF\":3.0000,\"publicationDate\":\"2020-03-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"34\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"传染病建模(英文)\",\"FirstCategoryId\":\"91\",\"ListUrlMain\":\"https://doi.org/10.1101/2020.03.23.20041897\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"INFECTIOUS DISEASES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"传染病建模(英文)","FirstCategoryId":"91","ListUrlMain":"https://doi.org/10.1101/2020.03.23.20041897","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"INFECTIOUS DISEASES","Score":null,"Total":0}
Targeted adaptive isolation strategy for COVID-19 pandemic
Abstract
We investigate the effects of social distancing in controlling the impact of the COVID-19 epidemic using a simple susceptible-infected-removed epidemic model. We show that an alternative or complementary approach based on targeted isolation of the vulnerable sub-population may provide a more efficient and robust strategy at a lower economic and social cost within a shorter timeframe resulting in a collectively immune population.