ArticleCMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne2022
Impact of population mixing between vaccinated and unvaccinated subpopulations on infectious disease dynamics: implications for SARS-CoV-2 transmission.
Article in CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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23 citing papers in PubMed, 48 citations in OpenAlex.
- Understanding COVID-19 Vaccine Hesitancy in Black, East Asian, and Eastern European Diasporic Communities in Toronto: A Scoping Review.International journal of social determinants of health and health services · 2026Article
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- Detection of SARS-CoV-2 Variants Imported Through Land Borders at the Height of the COVID-19 Pandemic in Ghana, 2022.Cureus · 2024Article
- Neutrophil-to-Lymphocyte Ratio and Cytokine Profiling as Predictors of Disease Severity and Survival in Unvaccinated COVID-19 Patients.Vaccines · 2024Article
- Hematological parameters to predict post-COVID-19 immune response among vaccinated and nonvaccinated individuals: a retrospective cross-sectional study.Annals of medicine and surgery (2012) · 2024Article
- The role of vaccine status homophily in the COVID-19 pandemic: a cross-sectional survey with modelling.BMC public health · 2024Article
- Bioactive Compounds from Plant Origin as Natural Antimicrobial Agents for the Treatment of Wound Infections.International journal of molecular sciences · 2024Review
- Differentiating behavioral impact with or without vaccination certification under mass vaccination and non-pharmaceutical interventions on mitigating COVID-19.Scientific reports · 2024Article
- Impact of immune evasion, waning and boosting on dynamics of population mixing between a vaccinated majority and unvaccinated minority.PloS one · 2024Article
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- Viral Respiratory Epidemic Modeling of Societal Segregation Based on Vaccination Status.Cureus · 2023Article
- A comparative study of compartmental models for COVID-19 transmission in Ontario, Canada.Scientific reports · 2023Article
- Assessing the Impact of Vaccination on the Dynamics of COVID-19 in Africa: A Mathematical Modeling Study.Vaccines · 2023Article
- Article
- Proposing a New Conceptual Syndemic Framework for COVID-19 Vaccine Hesitancy: A Narrative Review.International journal of environmental research and public health · 2023Review
- Predictions from standard epidemiological models of consequences of segregating and isolating vulnerable people into care facilities.PloS one · 2023Article
- Mutational Patterns Observed in SARS-CoV-2 Genomes Sampled From Successive Epochs Delimited by Major Public Health Events in Ontario, Canada: Genomic Surveillance Study.JMIR bioinformatics and biotechnology · 2022Article
- Lessons Learned from the COVID-19 Pandemic and How Blood Operators Can Prepare for the Next Pandemic.Viruses · 2022Review
- Error in key model input.CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne · 2022Article
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe speed of vaccine development has been a singular achievement during the COVID-19 pandemic, although uptake has not been universal. Vaccine opponents often frame their opposition in terms of the rights of the unvaccinated. We sought to explore the impact of mixing of vaccinated and unvaccinated populations on risk of SARS-CoV-2 infection among vaccinated people.
methodsWe constructed a simple susceptible-infectious-recovered compartmental model of a respiratory infectious disease with 2 connected subpopulations: people who were vaccinated and those who were unvaccinated. We simulated a spectrum of patterns of mixing between vaccinated and unvaccinated groups that ranged from random mixing to complete like-with-like mixing (complete assortativity), in which people have contact exclusively with others with the same vaccination status. We evaluated the dynamics of an epidemic within each subgroup and in the population as a whole.
resultsWe found that the risk of infection was markedly higher among unvaccinated people than among vaccinated people under all mixing assumptions. The contact-adjusted contribution of unvaccinated people to infection risk was disproportionate, with unvaccinated people contributing to infections among those who were vaccinated at a rate higher than would have been expected based on contact numbers alone. We found that as like-with-like mixing increased, attack rates among vaccinated people decreased from 15% to 10% (and increased from 62% to 79% among unvaccinated people), but the contact-adjusted contribution to risk among vaccinated people derived from contact with unvaccinated people increased.
interpretationAlthough risk associated with avoiding vaccination during a virulent pandemic accrues chiefly to people who are unvaccinated, their choices affect risk of viral infection among those who are vaccinated in a manner that is disproportionate to the portion of unvaccinated people in the population.
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