Analyzing and estimating parameters of COVID-19 transmission with vaccination in Indonesia

IF 0.8 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS Communications in Mathematical Biology and Neuroscience Pub Date : 2023-01-01 DOI:10.28919/cmbn/8128
Rince Putri, Zulistia Nabila, Susila Bahri
{"title":"Analyzing and estimating parameters of COVID-19 transmission with vaccination in Indonesia","authors":"Rince Putri, Zulistia Nabila, Susila Bahri","doi":"10.28919/cmbn/8128","DOIUrl":null,"url":null,"abstract":": This study analyzes the Susceptibles Infected Recovered Death (SIRD) epidemic model of COVID-19 transmission by considering vaccination in Indonesia. The SIRD epidemic mathematical model divided the population into four compartments, including susceptible compartment, infected compartment, recovered compartment","PeriodicalId":44079,"journal":{"name":"Communications in Mathematical Biology and Neuroscience","volume":"1 1","pages":""},"PeriodicalIF":0.8000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Communications in Mathematical Biology and Neuroscience","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.28919/cmbn/8128","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 0

Abstract

: This study analyzes the Susceptibles Infected Recovered Death (SIRD) epidemic model of COVID-19 transmission by considering vaccination in Indonesia. The SIRD epidemic mathematical model divided the population into four compartments, including susceptible compartment, infected compartment, recovered compartment
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
分析和估计印度尼西亚COVID-19疫苗传播参数
本研究分析了印度尼西亚考虑疫苗接种的COVID-19传播易感人群感染恢复性死亡(SIRD)流行模型。SIRD流行数学模型将种群分为易感室、感染室、恢复室4个区室
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Communications in Mathematical Biology and Neuroscience
Communications in Mathematical Biology and Neuroscience COMPUTER SCIENCE, INFORMATION SYSTEMS-
CiteScore
2.10
自引率
15.40%
发文量
80
期刊介绍: Communications in Mathematical Biology and Neuroscience (CMBN) is a peer-reviewed open access international journal, which is aimed to provide a publication forum for important research in all aspects of mathematical biology and neuroscience. This journal will accept high quality articles containing original research results and survey articles of exceptional merit.
期刊最新文献
A rare case of embryonal rhabdomyosarcoma with tumor cells in peripheral blood mimicking acute leukemia. Phytoplankton diffusive model with pulse and viral infection Using beta regression modeling in medical sciences: a comparative study Stunting determinants among toddlers in Probolinggo district of Indonesia using parametric and nonparametric ordinal logistic regression models Handling severe data imbalance in chest X-Ray image classification with transfer learning using SwAV self-supervised pre-training
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1