Quantifying the direct and indirect impact of COVID-19 vaccination: evidence from Victoria, Australia

Vaccines not only directly protect vaccinated individuals but also contribute to protecting the entire population via indirect herd-immunity benefits. However, researchers have long struggled to quantify these indirect effects at the population level, hindering the assessment of vaccination programme effectiveness. We developed a new method to estimate these effects, thereby markedly improving measures of the number of infections, hospitalizations and deaths averted by vaccination. Our population-based analysis of 6 440 000 residents of Victoria, Australia, reveals strong indirect effects during the Delta outbreak (September-November 2021). By modelling a non-vaccination counterfactual, we conservatively estimate 315 000 infections were averted (95% Bayesian credible interval (BCI): 231k-406k), as well as 33 400 hospitalizations (95% BCI: 22k-46k), and 4900 deaths (95% BCI: 2.8k-7.2k). These are 4.0, 7.5 and 8.0 times higher, respectively, than observed. Half of the averted infections and around one-quarter of hospitalizations and deaths were attributable to indirect protection. Homogeneous vaccination across local government areas could have reduced outcomes by approximately 25%.

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Publication Details

Journal
Journal of The Royal Society Interface
Published
2026-09-30
DOI
https://doi.org/10.1098/rsif.2025.0839
Primary Topic
Vaccine Coverage and Hesitancy
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article
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article

Quantifying the direct and indirect impact of COVID-19 vaccination: evidence from Victoria, Australia

James McCracken Trauer, Peter Eizenberg, Haydar Demirhan, Lewi Stone et al.
Journal of The Royal Society Interface
Vaccine Coverage and Hesitancy
article

Quantifying the direct and indirect impact of COVID-19 vaccination: evidence from Victoria, Australia

James McCracken Trauer, Peter Eizenberg, Haydar Demirhan, Lewi Stone, Lixin Lin
article en

Abstract

Vaccines not only directly protect vaccinated individuals but also contribute to protecting the entire population via indirect herd-immunity benefits. However, researchers have long struggled to quantify these indirect effects at the population level, hindering the assessment of vaccination programme effectiveness. We developed a new method to estimate these effects, thereby markedly improving measures of the number of infections, hospitalizations and deaths averted by vaccination. Our population-based analysis of 6 440 000 residents of Victoria, Australia, reveals strong indirect effects during the Delta outbreak (September-November 2021). By modelling a non-vaccination counterfactual, we conservatively estimate 315 000 infections were averted (95% Bayesian credible interval (BCI): 231k-406k), as well as 33 400 hospitalizations (95% BCI: 22k-46k), and 4900 deaths (95% BCI: 2.8k-7.2k). These are 4.0, 7.5 and 8.0 times higher, respectively, than observed. Half of the averted infections and around one-quarter of hospitalizations and deaths were attributable to indirect protection. Homogeneous vaccination across local government areas could have reduced outcomes by approximately 25%.

Journal of The Royal Society InterfaceVol. 23(242)
Tel Aviv University (IL), MIT University (MK), Monash Health (AU), Academic College of Tel Aviv-Yafo (IL), Monash University (AU), RMIT University (AU)
Openalex Percentile: Top 100%
Vaccine Coverage and Hesitancy
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Quantifying the direct and indirect impact of COVID-19 vaccination: evidence from Victoria, Australia — James McCracken Trauer, Peter Eizenberg, et al. · Journal of The Royal Society Interface (2026) | TGRS Research Map | TGRS