{"title":"Modeling within-host Chikungunya virus dynamics with the immune system using semi-analytical approaches.","authors":"Morufu Oyedunsi Olayiwola, Akeem Olarewaju Yunus, Adedapo Ismaila, Alaje, Joseph Adeleke Adedeji","doi":"10.1186/s13104-025-07252-w","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>Chikungunya fever continues to spread worldwide due to its asymptomatic nature and lack of a specific treatment. A mathematical model using the Caputo fractional order derivative is developed to study the interactions between host defense cells and Chikungunya viral particles in this research. The model's solution existence, uniqueness, and positivity are analyzed. The disease-free state threshold and Hyers-Ulam stability are established.</p><p><strong>Results: </strong>The basic reproductive number <math> <mrow><msub><mi>R</mi> <mn>0</mn></msub> <mo>≈</mo> <mn>7</mn></mrow> </math> , depict a high replication rate of the virus, indicating an increased infectiousness of uninfected cells. Sensitivity analysis shows that the invasion rate of susceptible monocytes increases spread, while antigenic immune response keeps <math><msub><mi>R</mi> <mn>0</mn></msub> </math> below 1. The Laplace Adomian Decomposition Method (LADM) is used to solve the model. Experimental outcomes suggest that the enhanced adaptive immune response, potentially influenced by nutritional support or medication, exhibits a more pronounced hysteresis effect. We observed that viral particles are cleared approximately three (3) days earlier before cell infection, potentially clearing the virus within a week. This insight could accelerate elimination of viral particles and expedite virus clearance.</p>","PeriodicalId":9234,"journal":{"name":"BMC Research Notes","volume":"18 1","pages":"201"},"PeriodicalIF":1.6000,"publicationDate":"2025-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12044791/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"BMC Research Notes","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1186/s13104-025-07252-w","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MULTIDISCIPLINARY SCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
Objective: Chikungunya fever continues to spread worldwide due to its asymptomatic nature and lack of a specific treatment. A mathematical model using the Caputo fractional order derivative is developed to study the interactions between host defense cells and Chikungunya viral particles in this research. The model's solution existence, uniqueness, and positivity are analyzed. The disease-free state threshold and Hyers-Ulam stability are established.
Results: The basic reproductive number , depict a high replication rate of the virus, indicating an increased infectiousness of uninfected cells. Sensitivity analysis shows that the invasion rate of susceptible monocytes increases spread, while antigenic immune response keeps below 1. The Laplace Adomian Decomposition Method (LADM) is used to solve the model. Experimental outcomes suggest that the enhanced adaptive immune response, potentially influenced by nutritional support or medication, exhibits a more pronounced hysteresis effect. We observed that viral particles are cleared approximately three (3) days earlier before cell infection, potentially clearing the virus within a week. This insight could accelerate elimination of viral particles and expedite virus clearance.
BMC Research NotesBiochemistry, Genetics and Molecular Biology-Biochemistry, Genetics and Molecular Biology (all)
CiteScore
3.60
自引率
0.00%
发文量
363
审稿时长
15 weeks
期刊介绍:
BMC Research Notes publishes scientifically valid research outputs that cannot be considered as full research or methodology articles. We support the research community across all scientific and clinical disciplines by providing an open access forum for sharing data and useful information; this includes, but is not limited to, updates to previous work, additions to established methods, short publications, null results, research proposals and data management plans.