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Spatio-Temporal Cluster Detection of Dengue, Chikungunya, and Zika Viruses’ Infection in Rio de Janeiro State from 2010 to 2019
Dengue (DENV), chikungunya (CHIKV), and Zika (ZIKV) virus infections are widespread throughout the Rio de Janeiro state. The co-circulation of these emergent arboviruses constitutes a serious public health problem, resulting in outbreaks that can spatially and temporally overlap. Environmental condi...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10384805/ https://www.ncbi.nlm.nih.gov/pubmed/37515183 http://dx.doi.org/10.3390/v15071496 |
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author | de Almeida, Paula Maria Pereira Câmara, Daniel Cardoso Portela Nobre, Aline Araújo Ayllón, Tania Ribeiro, Mário Sérgio Dias, Cristina Maria Giordano Peixoto, Eduardo Mesquita da Rocha, Maíra Mendonça Carvalho, Silvia Honório, Nildimar Alves |
author_facet | de Almeida, Paula Maria Pereira Câmara, Daniel Cardoso Portela Nobre, Aline Araújo Ayllón, Tania Ribeiro, Mário Sérgio Dias, Cristina Maria Giordano Peixoto, Eduardo Mesquita da Rocha, Maíra Mendonça Carvalho, Silvia Honório, Nildimar Alves |
author_sort | de Almeida, Paula Maria Pereira |
collection | PubMed |
description | Dengue (DENV), chikungunya (CHIKV), and Zika (ZIKV) virus infections are widespread throughout the Rio de Janeiro state. The co-circulation of these emergent arboviruses constitutes a serious public health problem, resulting in outbreaks that can spatially and temporally overlap. Environmental conditions favor the presence, maintenance, and expansion of Aedes aegypti, the primary vector of these urban arboviruses. This study assessed the detection of clusters of urban arboviruses in the Rio de Janeiro state from 2010 to 2019. Notified cases of dengue, chikungunya, and Zika were grouped by year according to the onset of symptoms and their municipality of residence. The study period recorded the highest number of dengue epidemics in the state along with the simultaneous circulation of chikungunya and Zika viruses. The analyzes showed that the central municipalities of the metropolitan regions were associated with higher risk areas. Central municipalities in metropolitan regions were the first most likely clusters for dengue and Zika, and the second most likely cluster for chikungunya. Furthermore, the northwest and north regions were comprised clusters with the highest relative risk for the three arboviruses, underscoring the impact of these arboviruses in less densely populated regions of Brazil. The identification of high-risk areas over time highlights the need for effective control measures, targeted prevention and control interventions for these urban arboviral diseases. |
format | Online Article Text |
id | pubmed-10384805 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-103848052023-07-30 Spatio-Temporal Cluster Detection of Dengue, Chikungunya, and Zika Viruses’ Infection in Rio de Janeiro State from 2010 to 2019 de Almeida, Paula Maria Pereira Câmara, Daniel Cardoso Portela Nobre, Aline Araújo Ayllón, Tania Ribeiro, Mário Sérgio Dias, Cristina Maria Giordano Peixoto, Eduardo Mesquita da Rocha, Maíra Mendonça Carvalho, Silvia Honório, Nildimar Alves Viruses Article Dengue (DENV), chikungunya (CHIKV), and Zika (ZIKV) virus infections are widespread throughout the Rio de Janeiro state. The co-circulation of these emergent arboviruses constitutes a serious public health problem, resulting in outbreaks that can spatially and temporally overlap. Environmental conditions favor the presence, maintenance, and expansion of Aedes aegypti, the primary vector of these urban arboviruses. This study assessed the detection of clusters of urban arboviruses in the Rio de Janeiro state from 2010 to 2019. Notified cases of dengue, chikungunya, and Zika were grouped by year according to the onset of symptoms and their municipality of residence. The study period recorded the highest number of dengue epidemics in the state along with the simultaneous circulation of chikungunya and Zika viruses. The analyzes showed that the central municipalities of the metropolitan regions were associated with higher risk areas. Central municipalities in metropolitan regions were the first most likely clusters for dengue and Zika, and the second most likely cluster for chikungunya. Furthermore, the northwest and north regions were comprised clusters with the highest relative risk for the three arboviruses, underscoring the impact of these arboviruses in less densely populated regions of Brazil. The identification of high-risk areas over time highlights the need for effective control measures, targeted prevention and control interventions for these urban arboviral diseases. MDPI 2023-07-01 /pmc/articles/PMC10384805/ /pubmed/37515183 http://dx.doi.org/10.3390/v15071496 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article de Almeida, Paula Maria Pereira Câmara, Daniel Cardoso Portela Nobre, Aline Araújo Ayllón, Tania Ribeiro, Mário Sérgio Dias, Cristina Maria Giordano Peixoto, Eduardo Mesquita da Rocha, Maíra Mendonça Carvalho, Silvia Honório, Nildimar Alves Spatio-Temporal Cluster Detection of Dengue, Chikungunya, and Zika Viruses’ Infection in Rio de Janeiro State from 2010 to 2019 |
title | Spatio-Temporal Cluster Detection of Dengue, Chikungunya, and Zika Viruses’ Infection in Rio de Janeiro State from 2010 to 2019 |
title_full | Spatio-Temporal Cluster Detection of Dengue, Chikungunya, and Zika Viruses’ Infection in Rio de Janeiro State from 2010 to 2019 |
title_fullStr | Spatio-Temporal Cluster Detection of Dengue, Chikungunya, and Zika Viruses’ Infection in Rio de Janeiro State from 2010 to 2019 |
title_full_unstemmed | Spatio-Temporal Cluster Detection of Dengue, Chikungunya, and Zika Viruses’ Infection in Rio de Janeiro State from 2010 to 2019 |
title_short | Spatio-Temporal Cluster Detection of Dengue, Chikungunya, and Zika Viruses’ Infection in Rio de Janeiro State from 2010 to 2019 |
title_sort | spatio-temporal cluster detection of dengue, chikungunya, and zika viruses’ infection in rio de janeiro state from 2010 to 2019 |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10384805/ https://www.ncbi.nlm.nih.gov/pubmed/37515183 http://dx.doi.org/10.3390/v15071496 |
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