# CoVPN 3006: A randomized controlled study to assess SARS-CoV-2 infection, viral shedding, and subsequent potential transmission in university students immunized with Moderna COVID-19 Vaccine

> **NIH NIH UM1** · FRED HUTCHINSON CANCER RESEARCH CENTER · 2021 · $2,034,708

## Abstract

Project Abstract
This proposal outlines the scientific agenda for the COVID-19 Prevention Network (CoVPN) Vaccines
Leadership Operations Center (LOC) for implementation of the COVID-19 vaccine trial entitled “A randomized
controlled study to assess SARS-CoV-2 infection, viral shedding, and subsequent potential transmission in
university students immunized with Moderna COVID-19 Vaccine.”
With the global COVID-19 pandemic, we recognize a significant need for SARS-CoV-2 vaccines that reduce
infection in exposed individuals, reduce the amount of viral shedding in infected individuals and reduce
transmission from infected individuals to close contacts. Addressing the COVID-19 pandemic, the National
Institutes of Health (NIH) led rapid constitution of the CoVPN, partnering 5 NIH supported clinical trial networks,
to create an enhanced network of physician-scientists at 145 United States (US) and 71 international clinical trial
sites in 17 countries dedicated to developing globally effective vaccines for SARS-CoV-2. Due to its extensive
experience implementing global HIV vaccine trials over the last 20 years, the HIV Vaccine Trials Network (HVTN)
LOC was selected as the LOC for CoVPN vaccine trials.
This study will monitor the efficacy of the Federal Drug Administration (FDA) Emergency Use Authorized (EUA)
Moderna COVID-19 Vaccine to prevent infection in an immediate versus delayed vaccination college student
cohort. Participants will be recruited from over 20 universities across the United States and will include three
cohorts: 12,000 healthy volunteers aged 18 through 26 years to receive immediate (month 0) or delayed (month
4) vaccination (Main Cohort), up to 24,000 volunteers subject to university SARS-CoV-2 testing who are in close
physical proximity with main cohort participants (Prospective Close Contact (PCC) Cohort), and approximately
3 contacts per incidence case for a total of up to 1,500 individuals who have been in close contact with a SARS-
CoV-2 positive case from the Main Cohort (Case-Ascertained Close Contact (CACC) Cohort).
Participants in the main study will be unblinded to randomization and will be administered vaccine at day 1 (D1)
and D29 for the immediate vaccination arm, and at D113 and D141 for the delayed vaccination arm. They will
self-collect nasal swabs daily in order to capture all incident SARS-CoVE-2 infection events over 4 months of
follow-up and to capture the full course of viral shedding – from onset of infection to viral clearance – among
those with both asymptomatic and symptomatic infection. To minimize participant burden and maximize study
efficiency many study procedures will occur remotely. SARS-CoV-2 infected participants will complete daily e-
diaries to capture symptoms. All trial endpoint assays will be done using qualified and validated assays for
diagnosis and immune monitoring and the primary analyses will be conducted among baseline seronegative
participants (targeting an entry seropositive rate of < 10%...

## Key facts

- **NIH application ID:** 10375264
- **Project number:** 3UM1AI068635-15S2
- **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:** $2,034,708
- **Award type:** 3
- **Project period:** 2021-04-03 → 2022-03-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10375264

## Citation

> US National Institutes of Health, RePORTER application 10375264, CoVPN 3006: A randomized controlled study to assess SARS-CoV-2 infection, viral shedding, and subsequent potential transmission in university students immunized with Moderna COVID-19 Vaccine (3UM1AI068635-15S2). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/10375264. Licensed CC0.

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