Predicting the Trajectory of Replacements of SARS-CoV-2 Variants Using Relative Reproduction Numbers

Viruses. 2022 Nov 18;14(11):2556. doi: 10.3390/v14112556.

Abstract

New variants of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) with high effective reproduction numbers are continuously being selected by natural selection. To establish effective control measures for new variants, it is crucial to know their transmissibility and replacement trajectory in advance. In this paper, we conduct retrospective prediction tests for the variant replacement from Alpha to Delta in England, using the relative reproduction numbers of Delta with respect to Alpha estimated from partial observations. We found that once Delta's relative frequency reached 0.15, the date when the relative frequency of Delta would reach 0.90 was predicted with maximum absolute prediction errors of three days. This means that the time course of the variant replacement could be accurately predicted from early observations. Together with the estimated relative reproduction number of a new variant with respect to old variants, the predicted replacement timing will be crucial information for planning control strategies against the new variant.

Keywords: Alpha; Delta; SARS-CoV-2; relative reproduction number; variant replacement.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • COVID-19*
  • Humans
  • Reproduction
  • Retrospective Studies
  • SARS-CoV-2* / genetics

Supplementary concepts

  • SARS-CoV-2 variants

Grants and funding

This research was funded by the Japan Agency for Medical Research and Development, grant numbers JP20fk0108535 and JP21wm0125008. K.I. received funding from JSPS KAKENHI (21H03490). C.P. was supported by the World-leading Innovative and Smart Education Program (1801) from the Ministry of Education, Culture, Sports, Science, and Technology, Japan. The funders had no role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript.