# CoVPN Cross-Protocol Analyses

> **NIH NIH UM1** · FRED HUTCHINSON CANCER RESEARCH CENTER · 2021 · $589,642

## Abstract

Project Abstract
This proposal outlines the scientific agenda for the COVID-19 Prevention Network (CoVPN) Vaccines
Statistical and Data Management Center (SDMC) for implementation of cross-protocol work in support of
COVID-19 phase 3 efficacy trials.
With the global COVID-19 pandemic, we recognize a significant need for vaccines that modify COVID-19 in
SARS-CoV-2 infected individuals. Addressing this gap, the HVTN SDMC has joined 4 other National Institute
of Health (NIH) clinical trial networks to form the CoVPN, an enhanced network dedicated to developing
globally effective vaccines for SARS-CoV-2.
The innovation of the CoVPN SDMC and advantages to this work include the collective experience of our
group- leader in statistical methods in vaccine evaluation, especially immune correlates assessment, and the
long-standing relationships we have with the clinical and lab groups in the CoVPN lead
Adapting and leveraging statistical methods for evaluating vaccines against other pathogens to SARS-CoV-2.
E.g. causal inference methods for evaluating multiple types of formally defined correlates of protection
including correlates of vaccine efficacy, mediators of vaccine efficacy, and stochastic-intervention effects on
vaccine efficacy.

## Key facts

- **NIH application ID:** 10322571
- **Project number:** 3UM1AI068635-15S3
- **Recipient organization:** FRED HUTCHINSON CANCER RESEARCH CENTER
- **Principal Investigator:** Peter B. Gilbert
- **Activity code:** UM1 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2021
- **Award amount:** $589,642
- **Award type:** 3
- **Project period:** 2021-07-02 → 2022-03-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10322571

## Citation

> US National Institutes of Health, RePORTER application 10322571, CoVPN Cross-Protocol Analyses (3UM1AI068635-15S3). Retrieved via AI Analytics 2026-05-24 from https://api.ai-analytics.org/grant/nih/10322571. Licensed CC0.

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