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. 2022 Jun 3;12:9275. doi: 10.1038/s41598-022-12442-8

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© The Author(s) 2022

Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

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Methodology and main outcomes. Schematic representation of the work-flow we follow in this work. The figure is read from left to right, with the blue circles summarising the main steps of our investigation, with leads to a reconstruction of the temporal dynamics of the diffusion of the variants (dark blue oval). The arrows show their logical sequence. Intermediate results are assembled in the vertical box. In the light blue boxes on the right, we summarise the two main applications of the results: the early warning tool for the appearance of relevant variants and the reconstruction of the variant epidemiological dynamics.