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Predicting vaccine effectiveness against severe COVID-19 over time and against variants: a meta-analysis

Authors :
Deborah Cromer
Megan Steain
Arnold Reynaldi
Timothy E. Schlub
Shanchita R. Khan
Sarah C. Sasson
Stephen J. Kent
David S. Khoury
Miles P. Davenport
Source :
Nature Communications, Vol 14, Iss 1, Pp 1-9 (2023)
Publication Year :
2023
Publisher :
Nature Portfolio, 2023.

Abstract

In this study, the authors perform a meta-analysis of COVID-19 vaccine effectiveness studies and compare observed protection against severe disease with model-based estimates of neutralising antibody titres. Their results show that SARS-CoV-2 antibody titres are predictive of protection against severe COVID-19 disease.

Subjects

Subjects :
Science

Details

Language :
English
ISSN :
20411723 and 72507519
Volume :
14
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Nature Communications
Publication Type :
Academic Journal
Accession number :
edsdoj.0ffd847cd5604f1bbad7250751912307
Document Type :
article
Full Text :
https://doi.org/10.1038/s41467-023-37176-7