Literature DB >> 35725000

Study authors don't consider waning SARS-CoV-2 immunity after vaccination in their model.

James C Doidge1, Alex de Figueiredo2, Trudo Lemmens3, Kevin Bardosh4.   

Abstract

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Year:  2022        PMID: 35725000      PMCID: PMC9261953          DOI: 10.1503/cmaj.127321-l

Source DB:  PubMed          Journal:  CMAJ        ISSN: 0820-3946            Impact factor:   16.859


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Fisman and colleagues1 present an oversimplification of a complex epidemiological, social and bioethical issue. The authors make strong ethical and political claims based on their findings, which feed existing social polarization. The authors use a compartmental susceptible, infectious or recovered (SIR) model to compute the infection burden in vaccinated and unvaccinated population subgroups and assess the contribution of the unvaccinated group to the cumulative rate of infection among the vaccinated. The study’s main conclusion — that mixing with unvaccinated people increases the risk of infection among the vaccinated — is predetermined by the authors’ choice of model and parameters. By ignoring waning immunity (from both vaccination and previous infection), the authors have constructed a model in which herd immunity always occurs, leaving some residual proportion of the population uninfected indefinitely. In this hypothetical scenario, it is a foregone conclusion that if 1 group with high baseline immunity is mixed with another group of lower baseline immunity, then a greater proportion of the high-immunity group will become infected before herd immunity is achieved, compared with if they had not mixed. The model2 contains 2 crucial parameters: “vaccine efficacy” and “baseline immunity in unvaccinated.” If these are set to any combination where the latter is higher, then the findings are reversed; the vaccinated increase risk for the unvaccinated. Obviously, both conclusions are similarly flawed. In the context of observed waning of vaccine efficacy against infection,3 even the authors acknowledge that “it is unlikely that SARS-CoV-2 will be eliminated.” The authors discuss the theoretical risk that unvaccinated people pose to vaccinated people via their disproportionate demand for health care resources — something not considered in their model — without any acknowledgement of the vast difference in health care demands of, say, a healthy 18-year-old individual compared with an 80-year-old person with comorbidities. The potential for this work to foster social division and misplaced anger and blame is at odds with public health ethics.
  2 in total

1.  Impact of population mixing between vaccinated and unvaccinated subpopulations on infectious disease dynamics: implications for SARS-CoV-2 transmission.

Authors:  David N Fisman; Afia Amoako; Ashleigh R Tuite
Journal:  CMAJ       Date:  2022-04-25       Impact factor: 16.859

2.  Duration of Protection against Mild and Severe Disease by Covid-19 Vaccines.

Authors:  Nick Andrews; Elise Tessier; Julia Stowe; Charlotte Gower; Freja Kirsebom; Ruth Simmons; Eileen Gallagher; Simon Thelwall; Natalie Groves; Gavin Dabrera; Richard Myers; Colin N J Campbell; Gayatri Amirthalingam; Matt Edmunds; Maria Zambon; Kevin Brown; Susan Hopkins; Meera Chand; Shamez N Ladhani; Mary Ramsay; Jamie Lopez Bernal
Journal:  N Engl J Med       Date:  2022-01-12       Impact factor: 91.245

  2 in total
  1 in total

1.  The authors respond to criticisms of their model parameters.

Authors:  David Fisman; Ashleigh Tuite; Afia Amoako
Journal:  CMAJ       Date:  2022-06-20       Impact factor: 16.859

  1 in total

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