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Overlap between dengue, Zika and chikungunya hotspots in the city of Rio de Janeiro
BACKGROUND: Arboviruses represent a threat to global public health. In the Americas, the dengue fever is endemic. This situation worsens with the introduction of emerging, Zika fever and chikungunya fever, causing epidemics in several countries within the last decade. Hotspot analysis contributes to...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9447914/ https://www.ncbi.nlm.nih.gov/pubmed/36067192 http://dx.doi.org/10.1371/journal.pone.0273980 |
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author | Queiroz, Eny Regina da Silva Medronho, Roberto de Andrade |
author_facet | Queiroz, Eny Regina da Silva Medronho, Roberto de Andrade |
author_sort | Queiroz, Eny Regina da Silva |
collection | PubMed |
description | BACKGROUND: Arboviruses represent a threat to global public health. In the Americas, the dengue fever is endemic. This situation worsens with the introduction of emerging, Zika fever and chikungunya fever, causing epidemics in several countries within the last decade. Hotspot analysis contributes to understanding the spatial and temporal dynamics in the context of co-circulation of these three arboviral diseases, which have the same vector: Aedes aegypti. OBJECTIVE: To analyze the spatial distribution and agreement between the hotspots of the historical series of reported dengue cases from 2000 to 2014 and the Zika, chikungunya and dengue cases hotspots from 2015 to 2019 in the city of Rio de Janeiro. METHODS: To identify hotspots, Gi* statistics were calculated for the annual incidence rates of reported cases of dengue, Zika, and chikungunya by neighborhood. Kendall’s W statistic was used to analyze the agreement between diseases hotspots. RESULTS: There was no agreement between the hotspots of the dengue fever historical series (2000–2014) and those of the emerging Zika fever and chikungunya fever (2015–2019). However, there was agreement between hotspots of the three arboviral diseases between 2015 and 2019. CONCLUSION: The results of this study show the existence of persistent hotspots that need to be prioritized in public policies for the prevention and control of these diseases. The techniques used with data from epidemiological surveillance services can help in better understanding of the dynamics of these diseases wherever they circulate in the world. |
format | Online Article Text |
id | pubmed-9447914 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-94479142022-09-07 Overlap between dengue, Zika and chikungunya hotspots in the city of Rio de Janeiro Queiroz, Eny Regina da Silva Medronho, Roberto de Andrade PLoS One Research Article BACKGROUND: Arboviruses represent a threat to global public health. In the Americas, the dengue fever is endemic. This situation worsens with the introduction of emerging, Zika fever and chikungunya fever, causing epidemics in several countries within the last decade. Hotspot analysis contributes to understanding the spatial and temporal dynamics in the context of co-circulation of these three arboviral diseases, which have the same vector: Aedes aegypti. OBJECTIVE: To analyze the spatial distribution and agreement between the hotspots of the historical series of reported dengue cases from 2000 to 2014 and the Zika, chikungunya and dengue cases hotspots from 2015 to 2019 in the city of Rio de Janeiro. METHODS: To identify hotspots, Gi* statistics were calculated for the annual incidence rates of reported cases of dengue, Zika, and chikungunya by neighborhood. Kendall’s W statistic was used to analyze the agreement between diseases hotspots. RESULTS: There was no agreement between the hotspots of the dengue fever historical series (2000–2014) and those of the emerging Zika fever and chikungunya fever (2015–2019). However, there was agreement between hotspots of the three arboviral diseases between 2015 and 2019. CONCLUSION: The results of this study show the existence of persistent hotspots that need to be prioritized in public policies for the prevention and control of these diseases. The techniques used with data from epidemiological surveillance services can help in better understanding of the dynamics of these diseases wherever they circulate in the world. Public Library of Science 2022-09-06 /pmc/articles/PMC9447914/ /pubmed/36067192 http://dx.doi.org/10.1371/journal.pone.0273980 Text en © 2022 Queiroz, Medronho https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Queiroz, Eny Regina da Silva Medronho, Roberto de Andrade Overlap between dengue, Zika and chikungunya hotspots in the city of Rio de Janeiro |
title | Overlap between dengue, Zika and chikungunya hotspots in the city of Rio de Janeiro |
title_full | Overlap between dengue, Zika and chikungunya hotspots in the city of Rio de Janeiro |
title_fullStr | Overlap between dengue, Zika and chikungunya hotspots in the city of Rio de Janeiro |
title_full_unstemmed | Overlap between dengue, Zika and chikungunya hotspots in the city of Rio de Janeiro |
title_short | Overlap between dengue, Zika and chikungunya hotspots in the city of Rio de Janeiro |
title_sort | overlap between dengue, zika and chikungunya hotspots in the city of rio de janeiro |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9447914/ https://www.ncbi.nlm.nih.gov/pubmed/36067192 http://dx.doi.org/10.1371/journal.pone.0273980 |
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