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Identification of risk areas for arboviruses transmitted by Aedes aegypti in northern Brazil: A One Health analysis

INTRODUCTION: The complex and growing problem generated by the rapid expansion of unplanned urban areas includes high population density and increased infestation by vectors responsible for the transmission of several diseases. This requires interdisciplinary and intersectoral interventions due to t...

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Autores principales: Gomes, Helierson, de Jesus, Andrielly Gomes, Quaresma, Juarez Antônio Simões
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9945760/
https://www.ncbi.nlm.nih.gov/pubmed/36844974
http://dx.doi.org/10.1016/j.onehlt.2023.100499
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author Gomes, Helierson
de Jesus, Andrielly Gomes
Quaresma, Juarez Antônio Simões
author_facet Gomes, Helierson
de Jesus, Andrielly Gomes
Quaresma, Juarez Antônio Simões
author_sort Gomes, Helierson
collection PubMed
description INTRODUCTION: The complex and growing problem generated by the rapid expansion of unplanned urban areas includes high population density and increased infestation by vectors responsible for the transmission of several diseases. This requires interdisciplinary and intersectoral interventions due to the burden of diseases, especially those caused by arboviruses, which can present severe forms and generate significant pressure on health systems, especially in more vulnerable regions. The objective of this study was to analyze the spatial distribution of arboviruses transmitted by Aedes aegypti (dengue, Zika, and chikungunya) and assess their correlations with demographic, social, and environmental data from the state of Tocantins, Brazil. METHODS: This was an ecological time series study of the dengue, Zika, and chikungunya arboviruses in the state of Tocantins. Local Moran's indices were used to observe the spatial autocorrelation of cases and to delimit clusters of high and low risks, correlating them with socioenvironmental indicators, in addition to analyses to detect case clusters. RESULTS: The state reported a mean incidence of 591 annual cases of arbovirus infections per 100,000 inhabitants and a stationary trend with seasonal pattern. Female Pardo individuals aged 20–39 years, with an education level of below college education, were the most affected; Palmas and Araguaína, the two largest cities in the state in terms of economy and population, were the most affected. CONCLUSION: A better understanding of the interaction between social characteristics, the environment, and ecology of wild animals and vectors is important for the development of mechanisms to predict outbreaks as well as to develop strategies to reduce and/or mitigate recurring arboviral epidemics and other diseases.
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spelling pubmed-99457602023-02-23 Identification of risk areas for arboviruses transmitted by Aedes aegypti in northern Brazil: A One Health analysis Gomes, Helierson de Jesus, Andrielly Gomes Quaresma, Juarez Antônio Simões One Health Research Paper INTRODUCTION: The complex and growing problem generated by the rapid expansion of unplanned urban areas includes high population density and increased infestation by vectors responsible for the transmission of several diseases. This requires interdisciplinary and intersectoral interventions due to the burden of diseases, especially those caused by arboviruses, which can present severe forms and generate significant pressure on health systems, especially in more vulnerable regions. The objective of this study was to analyze the spatial distribution of arboviruses transmitted by Aedes aegypti (dengue, Zika, and chikungunya) and assess their correlations with demographic, social, and environmental data from the state of Tocantins, Brazil. METHODS: This was an ecological time series study of the dengue, Zika, and chikungunya arboviruses in the state of Tocantins. Local Moran's indices were used to observe the spatial autocorrelation of cases and to delimit clusters of high and low risks, correlating them with socioenvironmental indicators, in addition to analyses to detect case clusters. RESULTS: The state reported a mean incidence of 591 annual cases of arbovirus infections per 100,000 inhabitants and a stationary trend with seasonal pattern. Female Pardo individuals aged 20–39 years, with an education level of below college education, were the most affected; Palmas and Araguaína, the two largest cities in the state in terms of economy and population, were the most affected. CONCLUSION: A better understanding of the interaction between social characteristics, the environment, and ecology of wild animals and vectors is important for the development of mechanisms to predict outbreaks as well as to develop strategies to reduce and/or mitigate recurring arboviral epidemics and other diseases. Elsevier 2023-02-06 /pmc/articles/PMC9945760/ /pubmed/36844974 http://dx.doi.org/10.1016/j.onehlt.2023.100499 Text en © 2023 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Research Paper
Gomes, Helierson
de Jesus, Andrielly Gomes
Quaresma, Juarez Antônio Simões
Identification of risk areas for arboviruses transmitted by Aedes aegypti in northern Brazil: A One Health analysis
title Identification of risk areas for arboviruses transmitted by Aedes aegypti in northern Brazil: A One Health analysis
title_full Identification of risk areas for arboviruses transmitted by Aedes aegypti in northern Brazil: A One Health analysis
title_fullStr Identification of risk areas for arboviruses transmitted by Aedes aegypti in northern Brazil: A One Health analysis
title_full_unstemmed Identification of risk areas for arboviruses transmitted by Aedes aegypti in northern Brazil: A One Health analysis
title_short Identification of risk areas for arboviruses transmitted by Aedes aegypti in northern Brazil: A One Health analysis
title_sort identification of risk areas for arboviruses transmitted by aedes aegypti in northern brazil: a one health analysis
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9945760/
https://www.ncbi.nlm.nih.gov/pubmed/36844974
http://dx.doi.org/10.1016/j.onehlt.2023.100499
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