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

IF 2.7 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS
Mihailo Ilic, M. Ivanović
{"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}
引用次数: 0

摘要

摘要本文重点介绍了软件代理的使用和模拟真实世界的医学现象。我们首先简要概述了用于开发软件代理和运行模拟的不同方法和工具。本文使用了一种最新的工具来开发疾病在病原体群体中传播的模型并进行实验。我们提出了SIRD模型的扩展,该模型包括主体的新状态、空间成分以及基于年龄的不同风险组。多种因素影响病原体在特定人群中的寿命,例如其传染性和致死性。本文展示了用新的、改进的SIRD模型进行的广泛实验的有趣结果,以及关键因素对疾病传播的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
7.50
自引率
0.00%
发文量
18
审稿时长
27 weeks
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信