TY - JOUR
T1 - Unveiling the Dynamics of SARS-CoV-2 Gamma and Delta Waves in Paraná, Brazil – Delta Displacing a Persistent Gamma Through Alternative Routes of Dispersal
AU - Gustani-Buss, Emanuele
AU - Buss, Carlos Eduardo
AU - Biagi, Carlos Alberto Oliveira de
AU - Oliveira, Isabela Medeiros de
AU - Peronni, Kamila Chagas
AU - Vitiello, Glauco Akelinghton Freire
AU - Fermino, Bárbara Luisa
AU - Ivanski, Fernanda
AU - Chao, Bárbara Mendes Paz
AU - Tuon, Felipe Francisco Bondan
AU - Follador, Franciele Ani Caovilla
AU - Lucio, Leia Carolina
AU - Ferreto, Lirane Elize Defante
AU - Pillegi, Marcos
AU - Visentainer, Jeane Eliete Laguila
AU - Consolaro, Marcia Edilaine Lopes
AU - Terêncio, Maria Leandra
AU - Bertolini, Dennis Armando
AU - Jorge, Alex Sandro
AU - Rocha, Jaime Luis Lopes
AU - Piovesan, Bruno Zagonel
AU - Riediger, Irina Nastassja
AU - Lacerda, Diogo Muller
AU - Cappellari, Angélica Regina
AU - Largura, Marco Antonio
AU - Largura, Álvaro
AU - Barcaro, Patrik André
AU - Bertol, Vitoria Caroline Tomacheski Schultz
AU - Pelegrina, Marcos Aurélio
AU - Negrão, Glauco Nonose
AU - Silva, Carla Luiza da
AU - Alfieri, Daniela Frizon
AU - Sampaio, Tony Vinicius Moreira
AU - Simao, Andrea Name Colado
AU - Carraro, Emerson
AU - Silva, Wilson Araújo
AU - Lemey, Phillippe
AU - Figueiredo, David Livingstone Alves
N1 - Publisher Copyright:
© 2025 The Author(s). Journal of Medical Virology published by Wiley Periodicals LLC.
PY - 2025/4
Y1 - 2025/4
N2 - The Gamma and Delta variants of concern (VOCs) of SARS-CoV-2 drove the second and third wave in Brazil and significantly intensified the number of cases and deaths. In this study, we investigate the timeline and origins of the Gamma and Delta variants using a spatiotemporal analysis based on 1508 genomes collected between March and September 2021 from health administrative regions in Paraná state, Brazil. Our findings indicate that community transmission of Gamma-P.1 began in late 2020, with substantial contributions from the Northeast and North regions. In contrast, our analysis of the Delta-AY.101 genomes underscored the crucial role of Paraná in national-level transmission dynamics beginning in late March 2021. At a local level, the movement estimates inferred from the monophyletic clades showed that the Curitiba health region was the primary source for Gamma-P.1, with a substantial contribution from Londrina. This health-region also emerged as an important hub for Delta-AY.101. Our phylogeographical GLM analysis demonstrates that air travel fluxes and population size at the origin of locations were the strongest predictors of shaping SARS-CoV-2 dispersal dynamics within Paraná. In addition, viral load analysis suggests that Gamma-P.1 and Delta-AY.101 may have maintained a similarly high transmissibility potential throughout the evaluated months, providing insights into the prolonged co-circulation dynamics. Our study underscores the relevance of understanding SARS-CoV-2 introductions and regional circulation contributions at the country level to enhance public health preparedness and strengthen local surveillance programs.
AB - The Gamma and Delta variants of concern (VOCs) of SARS-CoV-2 drove the second and third wave in Brazil and significantly intensified the number of cases and deaths. In this study, we investigate the timeline and origins of the Gamma and Delta variants using a spatiotemporal analysis based on 1508 genomes collected between March and September 2021 from health administrative regions in Paraná state, Brazil. Our findings indicate that community transmission of Gamma-P.1 began in late 2020, with substantial contributions from the Northeast and North regions. In contrast, our analysis of the Delta-AY.101 genomes underscored the crucial role of Paraná in national-level transmission dynamics beginning in late March 2021. At a local level, the movement estimates inferred from the monophyletic clades showed that the Curitiba health region was the primary source for Gamma-P.1, with a substantial contribution from Londrina. This health-region also emerged as an important hub for Delta-AY.101. Our phylogeographical GLM analysis demonstrates that air travel fluxes and population size at the origin of locations were the strongest predictors of shaping SARS-CoV-2 dispersal dynamics within Paraná. In addition, viral load analysis suggests that Gamma-P.1 and Delta-AY.101 may have maintained a similarly high transmissibility potential throughout the evaluated months, providing insights into the prolonged co-circulation dynamics. Our study underscores the relevance of understanding SARS-CoV-2 introductions and regional circulation contributions at the country level to enhance public health preparedness and strengthen local surveillance programs.
KW - Delta-AY.101
KW - Gamma-P.1
KW - phylogeography
UR - https://www.scopus.com/pages/publications/105002065617
U2 - 10.1002/jmv.70318
DO - 10.1002/jmv.70318
M3 - Article
AN - SCOPUS:105002065617
SN - 0146-6615
VL - 97
JO - Journal of Medical Virology
JF - Journal of Medical Virology
IS - 4
M1 - e70318
ER -