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

Author:

Cromer DeborahORCID,Steain Megan,Reynaldi ArnoldORCID,Schlub Timothy E.,Khan Shanchita R.ORCID,Sasson Sarah C.,Kent Stephen J.ORCID,Khoury David S.ORCID,Davenport Miles P.ORCID

Abstract

AbstractVaccine protection from symptomatic SARS-CoV-2 infection has been shown to be strongly correlated with neutralising antibody titres; however, this has not yet been demonstrated for severe COVID-19. To explore whether this relationship also holds for severe COVID-19, we performed a systematic search for studies reporting on protection against different SARS-CoV-2 clinical endpoints and extracted data from 15 studies. Since matched neutralising antibody titres were not available, we used the vaccine regimen, time since vaccination and variant of concern to predict corresponding neutralising antibody titres. We then compared the observed vaccine effectiveness reported in these studies to the protection predicted by a previously published model of the relationship between neutralising antibody titre and vaccine effectiveness against severe COVID-19. We find that predicted neutralising antibody titres are strongly correlated with observed vaccine effectiveness against symptomatic (Spearman $$\rho$$ ρ = 0.95, p < 0.001) and severe (Spearman $$\rho$$ ρ = 0.72, p < 0.001 for both) COVID-19 and that the loss of neutralising antibodies over time and to new variants are strongly predictive of observed vaccine protection against severe COVID-19.

Funder

Department of Health | National Health and Medical Research Council

Publisher

Springer Science and Business Media LLC

Subject

General Physics and Astronomy,General Biochemistry, Genetics and Molecular Biology,General Chemistry,Multidisciplinary

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