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

> **NIH NIH R01** · EMORY UNIVERSITY · 2021 · $173,135

## 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 organization:** EMORY UNIVERSITY
- **Principal Investigator:** Benjamin A Lopman
- **Activity code:** R01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2021
- **Award amount:** $173,135
- **Award type:** 3
- **Project period:** 2018-06-01 → 2023-05-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10398368

## Citation

> US National Institutes of Health, RePORTER application 10398368, Modeling ongoing SARS-CoV2 vaccination strategies in light of emerging data on immunity and viral evolution (3R01GM124280-04S1). Retrieved via AI Analytics 2026-05-25 from https://api.ai-analytics.org/grant/nih/10398368. Licensed CC0.

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