A mathematical model for the role of vaccination and treatment in measles transmission in Turkey

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS ACS Applied Bio Materials Pub Date : 2024-10-11 DOI:10.1016/j.cam.2024.116308
Osman Rasit Isik , Necibe Tuncer , Maia Martcheva
{"title":"A mathematical model for the role of vaccination and treatment in measles transmission in Turkey","authors":"Osman Rasit Isik ,&nbsp;Necibe Tuncer ,&nbsp;Maia Martcheva","doi":"10.1016/j.cam.2024.116308","DOIUrl":null,"url":null,"abstract":"<div><div>A previously developed and analyzed deterministic model for the transmission dynamics of measles, which takes into account the possibility of vaccinated people also contracting the disease, has been developed for Turkey. The model consists of nine compartments. The structural identifiability of the model was examined using software and detailed tables are given assuming that the incidence is given for structural identifiability. As a result of this analysis, the model is found to be structurally identifiable if at least two parameters are given along with the incidence. The parameters in this non-autonomous model are determined by considering the 1970–2021 measles case numbers in Turkey. We realize that the changes in immigration rates in Turkey, especially since the early 2000s, the changes in vaccination rates from 1970 to the present, and the changes in the vaccination rates of susceptible individuals, are significant changes in terms of time, and so we assume that these three parameters are time dependent. The practical identifiability of the model with the determined parameters is examined and it is found that if two parameters are given, all parameters except five parameters are practical identifiable. Unidentified parameters are fixed to a value by taking reference sources into account, and a model with all parameters practically identifiable is achieved. With the obtained values, the associated reproduction number of the model was obtained as 1.07 which means that the disease will persist in Turkey.</div></div>","PeriodicalId":2,"journal":{"name":"ACS Applied Bio Materials","volume":null,"pages":null},"PeriodicalIF":4.6000,"publicationDate":"2024-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Applied Bio Materials","FirstCategoryId":"100","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0377042724005569","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MATERIALS SCIENCE, BIOMATERIALS","Score":null,"Total":0}
引用次数: 0

Abstract

A previously developed and analyzed deterministic model for the transmission dynamics of measles, which takes into account the possibility of vaccinated people also contracting the disease, has been developed for Turkey. The model consists of nine compartments. The structural identifiability of the model was examined using software and detailed tables are given assuming that the incidence is given for structural identifiability. As a result of this analysis, the model is found to be structurally identifiable if at least two parameters are given along with the incidence. The parameters in this non-autonomous model are determined by considering the 1970–2021 measles case numbers in Turkey. We realize that the changes in immigration rates in Turkey, especially since the early 2000s, the changes in vaccination rates from 1970 to the present, and the changes in the vaccination rates of susceptible individuals, are significant changes in terms of time, and so we assume that these three parameters are time dependent. The practical identifiability of the model with the determined parameters is examined and it is found that if two parameters are given, all parameters except five parameters are practical identifiable. Unidentified parameters are fixed to a value by taking reference sources into account, and a model with all parameters practically identifiable is achieved. With the obtained values, the associated reproduction number of the model was obtained as 1.07 which means that the disease will persist in Turkey.
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
疫苗接种和治疗在土耳其麻疹传播中的作用数学模型
先前为土耳其开发并分析了一个麻疹传播动态的确定性模型,该模型考虑到了接种过疫苗的人也有可能感染该疾病。该模型由九个部分组成。使用软件对模型的结构可识别性进行了检验,并提供了详细的表格,假定发病率为结构可识别性。分析结果表明,如果至少给出两个参数和发生率,模型在结构上是可识别的。这个非自主模型的参数是通过考虑 1970-2021 年土耳其麻疹病例数确定的。我们意识到,土耳其移民率的变化(尤其是自 21 世纪初以来)、1970 年至今疫苗接种率的变化以及易感人群疫苗接种率的变化都是时间方面的重大变化,因此我们假定这三个参数与时间相关。我们利用确定的参数对模型的实际可识别性进行了研究,结果发现,如果给出两个参数,则除五个参数外的所有参数都是实际可识别的。考虑到参考源,将无法识别的参数固定为一个值,这样就可以得到一个所有参数都可实际识别的模型。根据获得的数值,模型的相关繁殖数为 1.07,这意味着该疾病将在土耳其持续存在。
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
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
期刊最新文献
A Systematic Review of Sleep Disturbance in Idiopathic Intracranial Hypertension. Advancing Patient Education in Idiopathic Intracranial Hypertension: The Promise of Large Language Models. Anti-Myelin-Associated Glycoprotein Neuropathy: Recent Developments. Approach to Managing the Initial Presentation of Multiple Sclerosis: A Worldwide Practice Survey. Association Between LACE+ Index Risk Category and 90-Day Mortality After Stroke.
×
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:481959085
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