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EXPLORING THE URBAN ARBOVIRUS LANDSCAPE IN RIO DE JANEIRO, BRAZIL: TRANSMISSION DYNAMICS AND PATTERNS OF DISEASE SPREAD
The authors wish to correct the data sharing statement, acknowledgments and include a citation for the published work and apologize for any inconvenience the error may have caused.
CORRECTED MATERIALS AND METHODS
(1) Sequence data collection: We retrieved from GISAID20 all publicly available viral genome sequences of DENV 1–4 from the state of Rio de Janeiro, and from NCBI21 CHIKV, and ZIKV, up to November 30th, 2023.
(2) Corrected data sharing and data availability statement: Input files (e.g. alignments and metadata) for Chikungunya and Zika viruses, used in the study are available on GitHub (https://github.com/genomicsurveillance/Arbovirus-genomic-surveillance/tree/main/Arbo-RJ). All viral genome sequences and associated metadata of DENV 1–4 in this study are available in GISAID EpiArbo, see https://doi.org/10.55876/gis8.240603at.
(3) Corrected acknowledgements: M. Giovanetti's funding is provided by PON “Ricerca e Innovazione ” 2014–2020. The authors would also like to acknowledge the Global Consortium to Identify and Control Epidemics—CLIMADE, (T.O., L.C.J.A., E.C.H., J.L., M.G.) (https://climade.health/). Authors additionally would like to acknowledge the CNPq and the Brazilian Ministry of Health. We gratefully acknowledge all data contributors, i.e., the Authors and their Originating laboratories responsible for obtaining the specimens, and their Submitting laboratories for generating the genetic sequence and metadata and sharing via the GISAID Initiative, on which this research is based.
CORRECTED CITATIONS
20. Wallau G.L.
Global Arbovirus Researchers United. Arbovirus researchers unite: expanding genomic surveillance for an urgent global need. Lancet Global Health. 2023; 11: 1501-1502
DOI to the correction page: https://doi.org/10.1016/j.lana.2024.100835
Author
Affilliation
Abstract
Background: This study focuses on urban arboviruses, specifically dengue (DENV), chikungunya (CHIKV), and Zika (ZIKV), which pose a significant public health challenge in Rio de Janeiro state, Southeast Brazil. In our research, we highlight critical findings on the transmission dynamics of these arboviruses in Rio de Janeiro, identifying distinct patterns of disease spread. Methods: By combining genomic data with case reports from the Brazilian Ministry of Health, we have analysed the phylogenetics, prevalence and spatial distribution of these endemic viruses within the state. Findings: Our results revealed sustained DENV transmission primarily in the northern part of the state, a significant ZIKV epidemic in 2016 affecting all mesoregions, and two major CHIKV outbreaks in 2018 and 2019, predominantly impacting the northern and southern areas. Our analysis suggests an inverse relationship between arboviral case incidence and urban density, with less populous regions experiencing higher transmission rates, potentially attributed to a complex interplay of factors such as the efficacy of vector control measures, environmental conditions, local immunity levels, and human mobility. Furthermore, our investigation unveiled distinct age and gender trends among affected individuals. Notably, dengue cases were predominantly observed in young adults aged 32, while chikungunya cases were more prevalent among individuals over 41. In contrast, cases of ZIKV were concentrated around the 33-year age group. Intriguingly, females accounted for nearly 60% of the cases, suggesting a potential gender-based difference in infection rates. Interpretation: Our findings underscore the complexity of arbovirus transmission and the need for interventions tailored to different geographical mesoregions. Enhanced surveillance and genomic sequencing will be essential for a deeper, more nuanced understanding of regional arbovirus dynamics. Identifying potential blind spots within the state will be pivotal for developing and implementing more effective public health strategies, specifically designed to address the unique challenges posed by these viruses throughout the state.
Publisher
Elsevier
Citation
SILVA, Gabriel Rocha Schuab da et al. Exploring the urban arbovirus landscape in Rio de Janeiro, Brazil: transmission dynamics and patterns of disease spread. The Lancet Regional Health Americas, v. 35, n. 100786, p. 1-11, 27 May 2024.DOI
10.1016/j.lana.2024.100786ISSN
2667-193XNotes
Produção científica do Laboratório de Arbovírus e Vírus Hemorrágicos.The authors wish to correct the data sharing statement, acknowledgments and include a citation for the published work and apologize for any inconvenience the error may have caused.
CORRECTED MATERIALS AND METHODS
(1) Sequence data collection: We retrieved from GISAID20 all publicly available viral genome sequences of DENV 1–4 from the state of Rio de Janeiro, and from NCBI21 CHIKV, and ZIKV, up to November 30th, 2023.
(2) Corrected data sharing and data availability statement: Input files (e.g. alignments and metadata) for Chikungunya and Zika viruses, used in the study are available on GitHub (https://github.com/genomicsurveillance/Arbovirus-genomic-surveillance/tree/main/Arbo-RJ). All viral genome sequences and associated metadata of DENV 1–4 in this study are available in GISAID EpiArbo, see https://doi.org/10.55876/gis8.240603at.
(3) Corrected acknowledgements: M. Giovanetti's funding is provided by PON “Ricerca e Innovazione ” 2014–2020. The authors would also like to acknowledge the Global Consortium to Identify and Control Epidemics—CLIMADE, (T.O., L.C.J.A., E.C.H., J.L., M.G.) (https://climade.health/). Authors additionally would like to acknowledge the CNPq and the Brazilian Ministry of Health. We gratefully acknowledge all data contributors, i.e., the Authors and their Originating laboratories responsible for obtaining the specimens, and their Submitting laboratories for generating the genetic sequence and metadata and sharing via the GISAID Initiative, on which this research is based.
CORRECTED CITATIONS
20. Wallau G.L.
Global Arbovirus Researchers United. Arbovirus researchers unite: expanding genomic surveillance for an urgent global need. Lancet Global Health. 2023; 11: 1501-1502
DOI to the correction page: https://doi.org/10.1016/j.lana.2024.100835
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