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Modeling the dynamics of dengue fever with double susceptibility and optimal control strategies

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27740%2F24%3A10255708" target="_blank" >RIV/61989100:27740/24:10255708 - isvavai.cz</a>

  • Result on the web

    <a href="https://link.springer.com/article/10.1007/s40808-024-02152-7#citeas" target="_blank" >https://link.springer.com/article/10.1007/s40808-024-02152-7#citeas</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/s40808-024-02152-7" target="_blank" >10.1007/s40808-024-02152-7</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Modeling the dynamics of dengue fever with double susceptibility and optimal control strategies

  • Original language description

    Dengue fever poses a global health challenge and has a substantial economic impact on the world economy. Various epidemic models have been studied to gain a better understanding of transmission patterns and formulate efficient control strategies for this global infection. In this paper, we investigate the transmission dynamics of dengue fever using a novel mathematical model with double susceptibility and partial immunity. Both symptomatic and asymptomatic infections are considered in the model formulation. The dynamics of the model are evaluated through the basic reproduction number R0documentclass[12pt]{minimal} usepackage{amsmath} usepackage{wasysym} usepackage{amsfonts} usepackage{amssymb} usepackage{amsbsy} usepackage{mathrsfs} usepackage{upgreek} setlength{oddsidemargin}{-69pt} begin{document}$$mathcal {R}_0$$end{document}. We have proved that the model is stable at the disease-free equilibrium for R0documentclass[12pt]{minimal} usepackage{amsmath} usepackage{wasysym} usepackage{amsfonts} usepackage{amssymb} usepackage{amsbsy} usepackage{mathrsfs} usepackage{upgreek} setlength{oddsidemargin}{-69pt} begin{document}$$mathcal {R}_0$$end{document} is less than 1, and it is globally asymptotically stable under certain conditions. Furthermore, we demonstrate that the infection will persist uniformly in the system if R0documentclass[12pt]{minimal} usepackage{amsmath} usepackage{wasysym} usepackage{amsfonts} usepackage{amssymb} usepackage{amsbsy} usepackage{mathrsfs} usepackage{upgreek} setlength{oddsidemargin}{-69pt} begin{document}$$mathcal {R}_0$$end{document} exceeds 1. The most sensitive factors influencing the infection incidence are evaluated using the well-known normalized sensitivity analysis. We found that the biting rate and birth rate of infected mosquitoes substantially contribute to dengue infection. Optimal control theory is then used to obtain the best control strategy for eradicating the infection. For this purpose, we incorporate three time-dependent control variables, namely, larvicide mosquito strategies, preventive measures to minimize human-mosquito contacts, and proper treatment or medication. The model is simulated by considering four scenarios that combine the different control variables. These results indicate that the implementation of all control measures simultaneously is necessary for the early eradication of infection in both populations.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    21100 - Other engineering and technologies

Result continuities

  • Project

  • Continuities

    O - Projekt operacniho programu

Others

  • Publication year

    2024

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Modeling Earth Systems and Environment

  • ISSN

    2363-6203

  • e-ISSN

    2363-6211

  • Volume of the periodical

    10

  • Issue of the periodical within the volume

    6

  • Country of publishing house

    DE - GERMANY

  • Number of pages

    21

  • Pages from-to

    7185-7205

  • UT code for WoS article

    001322460500001

  • EID of the result in the Scopus database

    2-s2.0-85205355534