MODIFIED MODEL OF VIRAL BIINFECTION TAKING INTO ACCOUNT DIFFUSION PERTURBATIONS, CONCENTRATED INFLUENCES AND LOGISTIC DYNAMICS

S. Baranovsky, A. Bomba
{"title":"MODIFIED MODEL OF VIRAL BIINFECTION TAKING INTO ACCOUNT DIFFUSION PERTURBATIONS, CONCENTRATED INFLUENCES AND LOGISTIC DYNAMICS","authors":"S. Baranovsky, A. Bomba","doi":"10.17721/2706-9699.2022.2.03","DOIUrl":null,"url":null,"abstract":"A model of viral biinfection has been modified to predict the development of the disease process, taking into account diffusion perturbations, concentrated influences, as well as the logistic dynamics of antigen and antibody populations. The solution of the original model singularly perturbed problem with a delay is presented in the form of numerically asymptotic approximations of solutions to the corresponding sequence of problems without delay. The results of computer experiments are presented, which demonstrate a decrease in the rate of model growth of the antigenic population, taking into account the diffusion «scattering» of the active factors of the process. Also illustrated is the exacerbation of the nature of the course of a previously stabilized chronic disease due to the redistribution of the resources of the immune system to overcome infection with another viral infection. It was noted that such exacerbation significantly increases under conditions of low model levels of logistical limitation of the volume of antibody synthesis. It is emphasized that an excessive increase in the model concentration of chronic disease antigens due to a too low level of logistical limitation of the antibody population leads to a significant predictive damage to the target organ and a corresponding decrease in the overall power of the immune response. Taking into account such an effect is important when predicting the development of the disease in practical decision-making situations regarding the formation of the most effective treatment programs, including the use of various concentrated effects of immunotherapy.","PeriodicalId":40347,"journal":{"name":"Journal of Numerical and Applied Mathematics","volume":"6 1","pages":""},"PeriodicalIF":0.1000,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Numerical and Applied Mathematics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.17721/2706-9699.2022.2.03","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

A model of viral biinfection has been modified to predict the development of the disease process, taking into account diffusion perturbations, concentrated influences, as well as the logistic dynamics of antigen and antibody populations. The solution of the original model singularly perturbed problem with a delay is presented in the form of numerically asymptotic approximations of solutions to the corresponding sequence of problems without delay. The results of computer experiments are presented, which demonstrate a decrease in the rate of model growth of the antigenic population, taking into account the diffusion «scattering» of the active factors of the process. Also illustrated is the exacerbation of the nature of the course of a previously stabilized chronic disease due to the redistribution of the resources of the immune system to overcome infection with another viral infection. It was noted that such exacerbation significantly increases under conditions of low model levels of logistical limitation of the volume of antibody synthesis. It is emphasized that an excessive increase in the model concentration of chronic disease antigens due to a too low level of logistical limitation of the antibody population leads to a significant predictive damage to the target organ and a corresponding decrease in the overall power of the immune response. Taking into account such an effect is important when predicting the development of the disease in practical decision-making situations regarding the formation of the most effective treatment programs, including the use of various concentrated effects of immunotherapy.
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
考虑扩散扰动、集中影响和logistic动力学的改进病毒双感染模型
考虑到扩散扰动、集中影响以及抗原和抗体种群的逻辑动力学,对病毒双感染模型进行了修改,以预测疾病过程的发展。用相应的无时滞问题序列解的数值渐近逼近的形式给出了原模型含时滞奇摄动问题的解。计算机实验结果表明,考虑到该过程中主动因子的扩散“散射”,抗原种群的模型增长率有所下降。还说明了由于免疫系统资源的重新分配以克服另一种病毒感染的感染,先前稳定的慢性疾病的病程性质的恶化。有人指出,在抗体合成量的后勤限制的低模型水平条件下,这种恶化显著增加。需要强调的是,由于抗体群体的后勤限制水平过低,慢性疾病抗原模型浓度的过度增加导致靶器官的显著预测性损伤和免疫反应的总体能力的相应降低。在制定最有效的治疗方案(包括使用各种免疫治疗的集中效果)的实际决策情况下,在预测疾病的发展时,考虑到这种效应是很重要的。
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
自引率
0.00%
发文量
0
期刊最新文献
BOUNDARY VALUE PROBLEMS FOR THE LYAPUNOV EQUATION THE REGULARIZED OPERATOR EXTRAPOLATION ALGORITHM ANALYSIS OF THE CONSTRUCTION OF NUMERICAL METHODS FOR SOLVING THE RICHARDS–KLUTE EQUATION NETWORK FLOW ANALYSIS AS A METHOD OF SUPPLY CHAIN MANAGEMENT OPTIMIZATION EXISTENCE IN SCHWARTZ SPACE AND SOLUTIONS PROPERTIES OF THE HOPF–TYPE EQUATION WITH VARIABLE COEFFICIENTS
×
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