The adverse effects of large-scale vaccination on highly transmissible epidemics
Yinzuo Zhou,
Yihan Liu,
Xiyun Zhang and
Jie Zhou
Physica A: Statistical Mechanics and its Applications, 2025, vol. 674, issue C
Abstract:
In this paper, we consider highly transmissible epidemics that incorporate a finite immunity period. Under the conditions where: (i) vaccines are partially effective, and (ii) hospital resources are limited, we find that large-scale vaccination may, however, lead to more cumulative infections as compared to small-scale vaccination. We demonstrate that the non-Markovian feature of the epidemic model plays an important role of this counterintuitive phenomenon, and we develop an approach to predict the thresholds of the epidemic process using a set of recurrent equations. Our findings may provide useful insights for administrative measures when encountering highly transmissible epidemics.
Keywords: Complex networks; Highly transmissible epidemics; Large-scale vaccination (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0378437125003747
Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:674:y:2025:i:c:s0378437125003747
DOI: 10.1016/j.physa.2025.130722
Access Statistics for this article
Physica A: Statistical Mechanics and its Applications is currently edited by K. A. Dawson, J. O. Indekeu, H.E. Stanley and C. Tsallis
More articles in Physica A: Statistical Mechanics and its Applications from Elsevier
Bibliographic data for series maintained by Catherine Liu ().