Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/119629
DC FieldValueLanguage
dc.contributorDepartment of Applied Mathematics-
dc.contributorResearch Institute for Future Food-
dc.creatorFeng, A-
dc.creatorObolski, U-
dc.creatorStone, L-
dc.creatorHe, D-
dc.date.accessioned2026-07-03T07:13:40Z-
dc.date.available2026-07-03T07:13:40Z-
dc.identifier.urihttp://hdl.handle.net/10397/119629-
dc.language.isoenen_US
dc.publisherPublic Library of Scienceen_US
dc.rights© 2022 Feng et al. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.en_US
dc.rightsThe following publication Feng A, Obolski U, Stone L, He D (2022) Modelling COVID-19 vaccine breakthrough infections in highly vaccinated Israel—The effects of waning immunity and third vaccination dose. PLOS Glob Public Health 2(11): e0001211 is available at https://doi.org/10.1371/journal.pgph.0001211.en_US
dc.titleModelling COVID-19 vaccine breakthrough infections in highly vaccinated Israel—the effects of waning immunity and third vaccination doseen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume2-
dc.identifier.issue11-
dc.identifier.doi10.1371/journal.pgph.0001211-
dcterms.abstractIn August 2021, a major wave of the SARS-CoV-2 Delta variant erupted in the highly vaccinated population of Israel. The transmission advantage of the Delta variant enabled it to replace the Alpha variant in approximately two months. The outbreak led to an unexpectedly large proportion of breakthrough infections (BTI)-a phenomenon that received worldwide attention. Most of the Israeli population, especially those aged 60+, received their second dose of the vaccination four months before the invasion of the Delta variant. Hence, either the vaccine induced immunity dropped significantly or the Delta variant possesses immunity escaping abilities, or both. In this work, we model data obtained from the Israeli Ministry of Health, to help understand the epidemiological factors involved in the outbreak. We propose a mathematical model that captures a multitude of factors, including age structure, the time varying vaccine efficacy, time varying transmission rate, BTIs, reduced susceptibility and infectivity of vaccinated individuals, protection duration of the vaccine induced immunity, and the vaccine distribution. We fitted our model to COVID-19 cases among the vaccinated and unvaccinated, for <60 and 60+ age groups, and quantified the transmission rate, the vaccine efficacy over time and the impact of the third dose booster vaccine. The peak transmission rate of the Delta variant was found to be 2.14 times higher than that of the Alpha variant. The two-dose vaccine efficacy against infection dropped significantly from >90% to ∼40% over 6 months. We further performed model simulations and quantified counterfactual scenarios examining what would happen if the booster had not been rolled out. We estimated that approximately 4.03 million infective cases (95%CI 3.19, 4.86) were prevented by vaccination overall, and 1.22 million infective cases (95%CI 0.89, 1.62) averted by the booster.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationPLoS global public health, 2022, v. 2, no. 11, e0001211-
dcterms.isPartOfPLoS global public health-
dcterms.issued2022-
dc.identifier.scopus2-s2.0-85195500504-
dc.identifier.eissn2767-3375-
dc.identifier.artne0001211-
dc.description.validate202606 bcjz-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_Scopus/WOSen_US
dc.description.fundingSourceRGCen_US
dc.description.fundingTextThe work described in this paper was partially supported by a grant from the Research Grants Council of the Hong Kong Special Administrative Region, China (HKU C7123-20G). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.en_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryCCen_US
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