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. 2023 Jul 21;14:4413. doi: 10.1038/s41467-023-40099-y

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© The Author(s) 2023

Open Access This 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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Fig. 2 — a Maximum Clade Credibility tree reconstructed using 706 sequences from Brazil (in addition to 5 sequences from Paraguay and 2 from Haiti) and a molecular clock approach. Numbers in black show clade posterior probabilities of main nodes. Some posterior probability values were omitted for clarity. Tip colors represent the sampling location. b Root-to-tip genetic distance regression in a maximum likelihood phylogeny of the CHIKV ECSA lineage (n = 713). New sequences are colored in black. The black line represents the medium values of the linear regression while the light gray bands around the line represent the standard error. R² indicates the coefficient of determination. c Number of genomes generated in this study (with >60% genome coverage) compared to the number of Brazilian CHIKV ECSA sequences available on the GenBank up to 27th Jan. 2023. d The spatial spread of CHIKV in Brazil estimated, using SPREAD4 software, under a discrete diffusion model employed in the Bayesian Phylogeographic approach using a dataset with 471 sequences. Size of colored circles was scaled by location posterior support. See Data Availability for Source data.