Evaluating the Long-term Efficacy of Coronavirus Disease 2019 (COVID-19) Vaccines

Large-scale deployment of safe and durably effective vaccines can curtail the coronavirus disease-2019 (COVID-19) pandemic. However, the high vaccine efficacy (VE) reported by ongoing phase 3 placebo-controlled clinical trials is based on a median follow-up time of only about 2 months, and thus does not pertain to long-term efficacy. To evaluate the duration of protection while allowing trial participants timely access to efficacious vaccine, investigators can sequentially cross participants over from the placebo arm to the vaccine arm. Here, we show how to estimate potentially time-varying placebo-controlled VE in this type of staggered vaccination of participants. In addition, we compare the performance of blinded and unblinded crossover designs in estimating long-term VE.

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Publication Details

Journal
UNC Libraries
Published
2025-06-24
DOI
https://doi.org/10.17615/skkz-ak34
Primary Topic
SARS-CoV-2 and COVID-19 Research
Type
article
Field-Weighted Citation Impact
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article

Evaluating the Long-term Efficacy of Coronavirus Disease 2019 (COVID-19) Vaccines

Donglin Zeng, Peter B. Gilbert, Dan-Yu Lin
UNC Libraries
SARS-CoV-2 and COVID-19 Research
article

Evaluating the Long-term Efficacy of Coronavirus Disease 2019 (COVID-19) Vaccines

Donglin Zeng, Peter B. Gilbert, Dan-Yu Lin
article en

Abstract

Large-scale deployment of safe and durably effective vaccines can curtail the coronavirus disease-2019 (COVID-19) pandemic. However, the high vaccine efficacy (VE) reported by ongoing phase 3 placebo-controlled clinical trials is based on a median follow-up time of only about 2 months, and thus does not pertain to long-term efficacy. To evaluate the duration of protection while allowing trial participants timely access to efficacious vaccine, investigators can sequentially cross participants over from the placebo arm to the vaccine arm. Here, we show how to estimate potentially time-varying placebo-controlled VE in this type of staggered vaccination of participants. In addition, we compare the performance of blinded and unblinded crossover designs in estimating long-term VE.

UNC Libraries
University of North Carolina at Chapel Hill (US)
Openalex Percentile: Top 69%
SARS-CoV-2 and COVID-19 Research
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