Transmission dynamics of an influenza model with vaccination and antiviral treatment

In this paper, we propose a novel compartmental model integrating dual intervention strategies (vaccination and antiviral treatment) to investigate influenza transmission dynamics. The mathematical analysis demonstrates that the basic reproduction number [Formula: see text] serves as an epidemiological threshold governing system behavior: If [Formula: see text], global stability of the disease-free equilibrium ensures pathogen elimination; if [Formula: see text], stability of the resistant-strain-dominant equilibrium suggests competitive exclusion of drug-sensitive variants; while if [Formula: see text], stability of the endemic equilibrium indicates long-term circulation of sensitive strains. Epidemiologically, we identify two critical intervention insights: (i) Vaccination coverage positively correlates with infection reduction efficiency, exhibiting nonlinear dose-response characteristics; (ii) Antiviral treatment efficacy depends on time-dependent adaptive deployment, requiring dynamic balancing between drug resistance risks and outbreak containment benefits. These findings provide quantitative guidance for designing phased intervention strategies during influenza outbreaks, particularly in optimizing resource allocation between prophylactic vaccination and therapeutic protocols.

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Publication Details

Journal
International Journal of Biomathematics
Published
2025-03-27
DOI
https://doi.org/10.1142/s1793524525500305
Primary Topic
Influenza Virus Research Studies
Type
article
Field-Weighted Citation Impact
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article

Transmission dynamics of an influenza model with vaccination and antiviral treatment

Yongli Cai, Xiaomeng Wang
International Journal of Biomathematics
Influenza Virus Research Studies
article

Transmission dynamics of an influenza model with vaccination and antiviral treatment

Yongli Cai, Xiaomeng Wang
article en

Abstract

In this paper, we propose a novel compartmental model integrating dual intervention strategies (vaccination and antiviral treatment) to investigate influenza transmission dynamics. The mathematical analysis demonstrates that the basic reproduction number [Formula: see text] serves as an epidemiological threshold governing system behavior: If [Formula: see text], global stability of the disease-free equilibrium ensures pathogen elimination; if [Formula: see text], stability of the resistant-strain-dominant equilibrium suggests competitive exclusion of drug-sensitive variants; while if [Formula: see text], stability of the endemic equilibrium indicates long-term circulation of sensitive strains. Epidemiologically, we identify two critical intervention insights: (i) Vaccination coverage positively correlates with infection reduction efficiency, exhibiting nonlinear dose-response characteristics; (ii) Antiviral treatment efficacy depends on time-dependent adaptive deployment, requiring dynamic balancing between drug resistance risks and outbreak containment benefits. These findings provide quantitative guidance for designing phased intervention strategies during influenza outbreaks, particularly in optimizing resource allocation between prophylactic vaccination and therapeutic protocols.

International Journal of Biomathematics
Nantong University (CN), Chinese University of Hong Kong, Shenzhen (CN)
Good health and well-being
Openalex Percentile: Top 91%
Influenza Virus Research Studies
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