{"title":"具有不同风险群体的空间SIRD模型——流行病建模的多因子方法","authors":"Mihailo Ilic, M. Ivanović","doi":"10.1080/24751839.2022.2065765","DOIUrl":null,"url":null,"abstract":"ABSTRACT This paper highlights the use of software agents and simulating real-world medical phenomena. We start with a brief overview of different approaches and tools for developing software agents and running simulations. One of the more recent tools was utilized in this paper to develop a model of disease spread in a population of agents and for performing experiments. We proposed an extension of the SIRD model, which includes a new state for agents, spatial component, and also different risk groups based on age. Multiple factors affect the longevity of a pathogen in a given population, for instance, its infectivity and deadliness. This paper shows interesting results of extensive experiments performed with novel, modified SIRD model and impact of key factors on disease spread.","PeriodicalId":32180,"journal":{"name":"Journal of Information and Telecommunication","volume":"6 1","pages":"450 - 464"},"PeriodicalIF":2.7000,"publicationDate":"2022-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Spatial SIRD model with different risk groups – multiagent approach for modelling an epidemic\",\"authors\":\"Mihailo Ilic, M. Ivanović\",\"doi\":\"10.1080/24751839.2022.2065765\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"ABSTRACT This paper highlights the use of software agents and simulating real-world medical phenomena. We start with a brief overview of different approaches and tools for developing software agents and running simulations. One of the more recent tools was utilized in this paper to develop a model of disease spread in a population of agents and for performing experiments. We proposed an extension of the SIRD model, which includes a new state for agents, spatial component, and also different risk groups based on age. Multiple factors affect the longevity of a pathogen in a given population, for instance, its infectivity and deadliness. This paper shows interesting results of extensive experiments performed with novel, modified SIRD model and impact of key factors on disease spread.\",\"PeriodicalId\":32180,\"journal\":{\"name\":\"Journal of Information and Telecommunication\",\"volume\":\"6 1\",\"pages\":\"450 - 464\"},\"PeriodicalIF\":2.7000,\"publicationDate\":\"2022-05-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Information and Telecommunication\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1080/24751839.2022.2065765\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"COMPUTER SCIENCE, INFORMATION SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Information and Telecommunication","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/24751839.2022.2065765","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
Spatial SIRD model with different risk groups – multiagent approach for modelling an epidemic
ABSTRACT This paper highlights the use of software agents and simulating real-world medical phenomena. We start with a brief overview of different approaches and tools for developing software agents and running simulations. One of the more recent tools was utilized in this paper to develop a model of disease spread in a population of agents and for performing experiments. We proposed an extension of the SIRD model, which includes a new state for agents, spatial component, and also different risk groups based on age. Multiple factors affect the longevity of a pathogen in a given population, for instance, its infectivity and deadliness. This paper shows interesting results of extensive experiments performed with novel, modified SIRD model and impact of key factors on disease spread.