4.6 Article

Mathematical Modeling of Vaccines That Prevent SARS-CoV-2 Transmission

Journal

VIRUSES-BASEL
Volume 13, Issue 10, Pages -

Publisher

MDPI
DOI: 10.3390/v13101921

Keywords

SARS-CoV-2; vaccines; mathematical modeling; viral dynamics

Categories

Funding

  1. National Institute of Allergy and Infectious Diseases [R01 AI121129-05S1]
  2. Council of State and Territorial Epidemiologists (Inform Public Health Decision Making Funding Opportunity)

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Clinical trials of SARS-CoV-2 vaccines assess efficacy against symptomatic disease, but may not fully differentiate between preventing infection or preventing symptoms. Using mathematical modeling, it is shown that high vaccine efficacy not only requires preventing transmission after infection, but also minimizing symptoms post-infection. Different vaccines may achieve high efficacy through varying mechanisms, with vaccines that offer complete protection against infection or transmission reducing the number of vaccinations needed for herd immunity.
SARS-CoV-2 vaccine clinical trials assess efficacy against disease (VEDIS), the ability to block symptomatic COVID-19. They only partially discriminate whether VEDIS is mediated by preventing infection completely, which is defined as detection of virus in the airways (VESUSC), or by preventing symptoms despite infection (VESYMP). Vaccine efficacy against transmissibility given infection (VEINF), the decrease in secondary transmissions from infected vaccine recipients, is also not measured. Using mathematical modeling of data from King County Washington, we demonstrate that if the Moderna (mRNA-1273QS) and Pfizer-BioNTech (BNT162b2) vaccines, which demonstrated VEDIS > 90% in clinical trials, mediate VEDIS by VESUSC, then a limited fourth epidemic wave of infections with the highly infectious B.1.1.7 variant would have been predicted in spring 2021 assuming rapid vaccine roll out. If high VEDIS is explained by VESYMP, then high VEINF would have also been necessary to limit the extent of this fourth wave. Vaccines which completely protect against infection or secondary transmission also substantially lower the number of people who must be vaccinated before the herd immunity threshold is reached. The limited extent of the fourth wave suggests that the vaccines have either high VESUSC or both high VESYMP and high VEINF against B.1.1.7. Finally, using a separate intra-host mathematical model of viral kinetics, we demonstrate that a 0.6 log vaccine-mediated reduction in average peak viral load might be sufficient to achieve 50% VEINF, which suggests that human challenge studies with a relatively low number of infected participants could be employed to estimate all three vaccine efficacy metrics.

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