Dynamical Models of the Interactions Between Vaccination and Antibiotic Resistance
<b>Background/Objectives</b>: <i>Streptococcus pneumoniae</i> remains a major cause of invasive disease, and antimicrobial resistance is shaped by antibiotic selection and pneumococcal conjugate vaccination. A unified framework is needed to compare proposed mechanisms that maintain coexistence of antibiotic-sensitive and -resistant strains and to interpret post-vaccine resistance trajectories. <b>Methods</b>: We formulated a susceptible-exposed-vaccinated-infectious-recovered (SEVIR) transmission model that tracks antibiotic-sensitive and -resistant pneumococcal infections under vaccination and treatment. The basic reproduction number (R0) was derived using the next-generation matrix method and used to assess local stability of the disease-free equilibrium. Using the same core structure, we evaluated three mechanism-specific extensions: treatment diversity (heterogeneous antibiotic use across host groups), pathogen diversity (serotype/subtype heterogeneity under vaccine targeting), and treatment competition (within-host competition with treatment-induced selection). <b>Results</b>: Treatment diversity generated stable coexistence by creating low-treatment refugia that counterbalanced strong selection in highly treated groups, supporting resistance persistence at moderate population-average treatment. Pathogen diversity reproduced serotype-specific replacement and concentration of resistance within particular subtypes after vaccination. Treatment competition produced nonlinear responses to antibiotic intensity and transient resistance surges. Overall, each mechanism explained a distinct subset of benchmark resistance patterns, suggesting that dominant drivers depend on epidemiological context. <b>Conclusions</b>: Interactions between vaccination, antibiotic pressure, population heterogeneity, pathogen diversity and within-host competition can yield qualitatively different resistance dynamics. Strategies combining high vaccine uptake with targeted antibiotic stewardship are likely required to curb resistance while limiting unintended serotype replacement.
Authors
- Junwei Zhu
- Ruoyu Zhang (ORCID: https://orcid.org/0000-0002-6089-7476)
Institutions
- Xiamen University (CN)
Publication Details
- Journal
- Vaccines
- Published
- 2026-02-26
- DOI
- https://doi.org/10.3390/vaccines14030212
- Primary Topic
- Pneumonia and Respiratory Infections
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Office for Philosophy and Social Sciences