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Preliminary modeling estimates of the relative transmissibility and immune escape of the Omicron SARS-CoV-2 variant of concern in South Africa
Nicolò Gozzi; Matteo Chinazzi; Jessica T. Davis; Kunpeng Mu; Ana Pastore y Piontti; Alessandro Vespignani; Nicola Perra.
Affiliation
  • Nicolò Gozzi; Networks and Urban Systems Centre, University of Greenwich, UK
  • Matteo Chinazzi; Laboratory for the Modeling of Biological and Socio-technical Systems, Northeastern University, Boston, MA USA
  • Jessica T. Davis; Laboratory for the Modeling of Biological and Socio-technical Systems, Northeastern University, Boston, MA USA
  • Kunpeng Mu; Laboratory for the Modeling of Biological and Socio-technical Systems, Northeastern University, Boston, MA USA
  • Ana Pastore y Piontti; Laboratory for the Modeling of Biological and Socio-technical Systems, Northeastern University, Boston, MA USA
  • Alessandro Vespignani; Laboratory for the Modeling of Biological and Socio-technical Systems, Northeastern University, Boston, MA USA
  • Nicola Perra; Networks and Urban Systems Centre, University of Greenwich, UK
Preprint in English | medRxiv | ID: ppmedrxiv-22268721
ABSTRACT
We develop a stochastic, multi-strain, compartmental epidemic model to estimate the relative transmissibility and immune escape of the Omicron variant of concern (VOC) in South Africa. The model integrates population, non-pharmaceutical interventions, vaccines, and epidemiological data and it is calibrated in the period May 1st, 2021 - November 23rd, 2021. We explore a parameter space of relative transmissibility with respect to the Delta variant and immune escape for Omicron by assuming an initial seeding, from unknown origin, in the first week of October 2021. We identify a region of the parameter space where combinations of relative transmissibility and immune escape are compatible with the growth of the epidemic wave. We also find that changes in the generation time associated with Omicron infections strongly affect the results concerning its relative transmissibility. The presented results are informed by current knowledge of Omicron and subject to changes.
License
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Full text: Available Collection: Preprints Database: medRxiv Language: English Year: 2022 Document type: Preprint
Full text: Available Collection: Preprints Database: medRxiv Language: English Year: 2022 Document type: Preprint
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