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Evaluating the Efficacy of Coronavirus Disease 2019 Vaccines.
Lin, Dan-Yu; Zeng, Donglin; Mehrotra, Devan V; Corey, Lawrence; Gilbert, Peter B.
  • Lin DY; Department of Biostatistics, University of North Carolina, Chapel Hill, North Carolina, USA.
  • Zeng D; Department of Biostatistics, University of North Carolina, Chapel Hill, North Carolina, USA.
  • Mehrotra DV; Biostatistics & Research Decision Sciences, Merck & Co, Inc, North Wales, Pennsylvania, USA.
  • Corey L; Vaccine and Infectious Disease Division, Fred Hutch, Seattle, Washington, USA.
  • Gilbert PB; Vaccine and Infectious Disease Division, Fred Hutch, Seattle, Washington, USA.
Clin Infect Dis ; 73(8): 1540-1544, 2021 10 20.
Article in English | MEDLINE | ID: covidwho-1479937
ABSTRACT
A large number of studies are being conducted to evaluate the efficacy and safety of candidate vaccines against coronavirus disease 2019 (COVID-19). Most phase 3 trials have adopted virologically confirmed symptomatic COVID-19 as the primary efficacy end point, although laboratory-confirmed severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is also of interest. In addition, it is important to evaluate the effect of vaccination on disease severity. To provide a full picture of vaccine efficacy and make efficient use of available data, we propose using SARS-CoV-2 infection, symptomatic COVID-19, and severe COVID-19 as dual or triple primary end points. We demonstrate the advantages of this strategy through realistic simulation studies. Finally, we show how this approach can provide rigorous interim monitoring of the trials and efficient assessment of the durability of vaccine efficacy.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Vaccines / COVID-19 Type of study: Experimental Studies / Prognostic study Topics: Vaccines Limits: Humans Language: English Journal: Clin Infect Dis Journal subject: Communicable Diseases Year: 2021 Document Type: Article Affiliation country: Cid

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Vaccines / COVID-19 Type of study: Experimental Studies / Prognostic study Topics: Vaccines Limits: Humans Language: English Journal: Clin Infect Dis Journal subject: Communicable Diseases Year: 2021 Document Type: Article Affiliation country: Cid