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Volume 32, Number 7—July 2026

Research Letter

Chikungunya Outbreak, Cuba, July 2025

Melissa M. Perez1, Sonia Resik1, Berta Maria Bello Rodriguez, Ariamys Companioni, Daniel Gonzalez, Ana Julia Benitez, Yanet Martinez, Mónica Sanchez, Mayling Alvarez, Denelsys Hernandez, Jose Raul de Armas, Aliuska Batista Serrano, Madelaine Rivera, Carilda Peña, Liannet Domínguez Ramos, Silvia Serrano, Rosario Gravier, Lorena Vazquez, Vivian Kourí, and Maria G. GuzmanComments to Author 
Author affiliation: Pedro Kouri Tropical Medicine Institute, Havana, Cuba (M.M. Perez, S. Resik, A. Companioni, D. Gonzalez, A.J. Benitez, Y. Martinez, M. Sanchez, M. Alvarez, D. Hernandez, S. Serrano, R. Gravier, L. Vazquez, V. Kourí, M.G. Guzman); Matanzas Provincial Center for Hygiene, Epidemiology and Microbiology, Matanzas, Cuba (B.M. Bello Rodriguez); Ministerio de Salud Pública, Havana (J.R. de Armas, M. Rivera, C. Peña); Polyclinic 30th Anniversary, Perico Municipality, Matanzas (A. Batista Serrano, L. Domínguez Ramos)

Main Article

Figure

Molecular phylogenetic analysis of chikungunya virus from outbreak in Matanzas Province, Cuba, 2025. We obtained all available chikungunya virus sequences from GISAID, then filtered the sequences to ensure dataset and genetic diversity. We inferred evolutionary history by maximum-likelihood method by using the Tamura-Nei model (6). We applied the neighbor-joining method to a matrix of estimated pairwise distances to obtain initial trees and used a discrete gamma distribution to model evolutionary rate differences among sites. We conducted evolutionary analyses in MEGA version 6 (7). Numbers at branches indicate the percentage of trees in which associated taxa clustered together. Scale bar indicates number of substitutions per site. DRC, Democratic Republic of the Congo; USA, United States.

Figure. Molecular phylogenetic analysis of chikungunya virus from outbreak in Matanzas Province, Cuba, 2025. We obtained all available chikungunya virus sequences from GISAID, then filtered the sequences to ensure dataset and genetic diversity. We inferred evolutionary history by maximum-likelihood method by using the Tamura-Nei model (6). We applied the neighbor-joining method to a matrix of estimated pairwise distances to obtain initial trees and used a discrete gamma distribution to model evolutionary rate differences among sites. We conducted evolutionary analyses in MEGA version 6 (7). Numbers at branches indicate the percentage of trees in which associated taxa clustered together. Scale bar indicates number of substitutions per site. DRC, Democratic Republic of the Congo; USA, United States.

Main Article

References
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1These authors contributed equally to this article.

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