Modeling ongoing SARS-CoV2 vaccination strategies in light of emerging data on immunity and viral evolution

NIH RePORTER · NIH · R01 · $173,135 · view on reporter.nih.gov ↗

Abstract

SUMMARY While SARS-CoV-2, the pathogen causing COVID-19, continues to spread, the rapid development and deployment of effective vaccines provide a means by which we can reduce its future impact. Initial vaccines have shown to be highly effective, however, the current emergence of new SARS-CoV-2 variants, together with indications that of waning immunity, means that continued repeat vaccinations are likely to be required. Here, we will build upon resources we have already developed from our ongoing project aimed at modeling potential norovirus vaccines and our previous work aimed at modeling the impact of vaccination for SARS-CoV-2 Our team has made contributions and investigated the relative population impacts of SARS-CoV-2 vaccines with different mechanisms of action; characterized patterns of virus evolution that have the potential to impact vaccine efficacy and escape; and, examined initial strategies for vaccine deployment with the aim of relaxing social distancing guidelines. We will leverage these data and modeling tools and build on this work to assess more fully the patterns of immune waning and virus evolution. We will then use these data and results and combine them with our existing SARS-CoV-2 vaccine simulation model to inform the building and the calibration of an extended model. This extended model will account for waning immunity to SARS-CoV-2 and its viral evolution. Our model will inform rapidly emerging scientific questions around continued SARS-CoV-2 vaccination and re-vaccination strategies, including both boosting and vaccine reformulation.

Key facts

NIH application ID
10398368
Project number
3R01GM124280-04S1
Recipient
EMORY UNIVERSITY
Principal Investigator
Benjamin A Lopman
Activity code
R01
Funding institute
NIH
Fiscal year
2021
Award amount
$173,135
Award type
3
Project period
2018-06-01 → 2023-05-31