Relative Contagiousness of Emerging Virus Variants: An Analysis of the Alpha, Delta, and Omicron SARS-CoV-2 Variants

Peter Reinhard Hansen*

*Corresponding author for this work

Research output: Contribution to journalJournal articleResearchpeer-review

Abstract

We propose a simple dynamic model for estimating the relative contagiousness of two virus variants. Maximum likelihood estimation and inference is conveniently invariant to variation in the total number of cases over the sample period and can be expressed as a logistic regression. We apply the model to Danish SARS-CoV-2 variant data. We estimate the reproduction numbers of Alpha and Delta to be larger than that of the ancestral variant by a factor of 1.51 [CI 95%: 1.50, 1.53] and 3.28 [CI 95%: 3.01, 3.58], respectively. In a predominately vaccinated population, we estimate Omicron to be 3.15 [CI 95%: 2.83, 3.50] times more infectious than Delta. Forecasting the proportion of an emerging virus variant is straight forward and we proceed to show how the effective reproduction number for a new variant can be estimated without contemporary sequencing results. This is useful for assessing the state of the pandemic in real time as we illustrate empirically with the inferred effective reproduction number for the Alpha variant.
Original languageEnglish
JournalEconometrics Journal
Volume25
Issue number3
Pages (from-to)739-761
Number of pages23
ISSN1368-4221
DOIs
Publication statusPublished - Sept 2022

Bibliographical note

Published online: 24 March 2022.

Keywords

  • COVID-19
  • SARS-CoV-2
  • Reproduction number
  • Alpha variant
  • Delta variant
  • Omicron variant
  • B.1.1.7
  • B.1.617.2
  • B.1.1.529
  • Maximum likelihood
  • Logistic regression

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