Vaccination and variants: Retrospective model for the evolution of Covid-19 in Italy

PLoS One. 2022 Jul 8;17(7):e0265159. doi: 10.1371/journal.pone.0265159. eCollection 2022.

Abstract

The last year of Covid-19 pandemic has been characterized by the continuous chase between the vaccination campaign and the appearance of new variants that puts further obstacles to the possibility of eradicating the virus and returning to normality in a short period. In the present paper we develop a deterministic compartmental model to describe the evolution of the Covid-19 in Italy as a combined effect of vaccination campaign, new variant spreading and mobility restrictions. Particular attention is given to the mechanism of waning immunity, appropriately timed with respect to the effective progress of the vaccination campaign in Italy. We perform a retrospective analysis in order to explore the role that different mechanisms, such as behavioral changes, variation of the population mobility, seasonal variability of the virus infectivity, and spreading of new variants have had in shaping the epidemiological curve. We find that, in the large time window considered, the most relevant mechanism is the seasonal variation in the stability of the virus, followed by the awareness mechanism, that induces individuals to increase/relax self-protective measures when the number of active cases increases/decreases. The appearance of the Delta variant and the mobility variations have had instead only marginal effects. In absence of vaccines the emerging scenario would have been dramatic with a percentage difference in the number of total infections and total deaths, in both cases, larger than fifty per cent. The model also predicts the appearance of a more contagious variant (the Omicron variant) and its becoming dominant in January 2022.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • COVID-19* / epidemiology
  • COVID-19* / prevention & control
  • Humans
  • Pandemics / prevention & control
  • Retrospective Studies
  • SARS-CoV-2
  • Vaccination

Supplementary concepts

  • SARS-CoV-2 variants

Grants and funding

A.L. and A.F. acknowledge financial support of the MIUR PRIN 2017WZFTZP “Stochastic forecasting in complex systems”. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.