A modeling-based approach to optimize COVID-19 vaccine dosing schedules for improved protection.

ABSTRACT: While the development of different vaccines slowed the dissemination of SARS-CoV-2, the occurrence of breakthrough infections has continued to fuel the COVID-19 pandemic. To secure at least partial protection in the majority of the population through 1 dose of a COVID-19 vaccine, delayed administration of boosters has been implemented in many countries. However, waning immunity and emergence of new variants of SARS-CoV-2 suggest that such measures may induce breakthrough infections due to intermittent lapses in protection. Optimizing vaccine dosing schedules to ensure prolonged continuity in protection could thus help control the pandemic. We developed a mechanistic model of immune response to vaccines as an in silico tool for dosing schedule optimization. The model was calibrated with cli

SUBMITTER: Dogra P 

PROVIDER: S-EPMC10371350 | biostudies-literature | 2023 Jul

REPOSITORIES: biostudies-literature