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Analysis of the spatial distribution of dengue cases in the city of Rio de Janeiro, 2011 and 2012

OBJECTIVE: Analyze the spatial distribution of classical dengue and severe dengue cases in the city of Rio de Janeiro. METHODS: Exploratory study, considering cases of classical dengue and severe dengue with laboratory confirmation of the infection in the city of Rio de Janeiro during the years 2011...

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Autores principales: Carvalho, Silvia, Magalhães, Mônica de Avelar Figueiredo Mafra, Medronho, Roberto de Andrade
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Faculdade de Saúde Pública da Universidade de São Paulo 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5783535/
https://www.ncbi.nlm.nih.gov/pubmed/28832752
http://dx.doi.org/10.11606/S1518-8787.2017051006239
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author Carvalho, Silvia
Magalhães, Mônica de Avelar Figueiredo Mafra
Medronho, Roberto de Andrade
author_facet Carvalho, Silvia
Magalhães, Mônica de Avelar Figueiredo Mafra
Medronho, Roberto de Andrade
author_sort Carvalho, Silvia
collection PubMed
description OBJECTIVE: Analyze the spatial distribution of classical dengue and severe dengue cases in the city of Rio de Janeiro. METHODS: Exploratory study, considering cases of classical dengue and severe dengue with laboratory confirmation of the infection in the city of Rio de Janeiro during the years 2011/2012. The georeferencing technique was applied for the cases notified in the Notification Increase Information System in the period of 2011 and 2012. For this process, the fields “street” and “number” were used. The ArcGis10 program’s Geocoding tool’s automatic process was performed. The spatial analysis was done through the kernel density estimator. RESULTS: Kernel density pointed out hotspots for classic dengue that did not coincide geographically with severe dengue and were in or near favelas. The kernel ratio did not show a notable change in the spatial distribution pattern observed in the kernel density analysis. The georeferencing process showed a loss of 41% of classic dengue registries and 17% of severe dengue registries due to the address in the Notification Increase Information System form. CONCLUSIONS: The hotspots near the favelas suggest that the social vulnerability of these localities can be an influencing factor for the occurrence of this aggravation since there is a deficiency of the supply and access to essential goods and services for the population. To reduce this vulnerability, interventions must be related to macroeconomic policies.
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spelling pubmed-57835352018-01-29 Analysis of the spatial distribution of dengue cases in the city of Rio de Janeiro, 2011 and 2012 Carvalho, Silvia Magalhães, Mônica de Avelar Figueiredo Mafra Medronho, Roberto de Andrade Rev Saude Publica Original Articles OBJECTIVE: Analyze the spatial distribution of classical dengue and severe dengue cases in the city of Rio de Janeiro. METHODS: Exploratory study, considering cases of classical dengue and severe dengue with laboratory confirmation of the infection in the city of Rio de Janeiro during the years 2011/2012. The georeferencing technique was applied for the cases notified in the Notification Increase Information System in the period of 2011 and 2012. For this process, the fields “street” and “number” were used. The ArcGis10 program’s Geocoding tool’s automatic process was performed. The spatial analysis was done through the kernel density estimator. RESULTS: Kernel density pointed out hotspots for classic dengue that did not coincide geographically with severe dengue and were in or near favelas. The kernel ratio did not show a notable change in the spatial distribution pattern observed in the kernel density analysis. The georeferencing process showed a loss of 41% of classic dengue registries and 17% of severe dengue registries due to the address in the Notification Increase Information System form. CONCLUSIONS: The hotspots near the favelas suggest that the social vulnerability of these localities can be an influencing factor for the occurrence of this aggravation since there is a deficiency of the supply and access to essential goods and services for the population. To reduce this vulnerability, interventions must be related to macroeconomic policies. Faculdade de Saúde Pública da Universidade de São Paulo 2017-08-03 /pmc/articles/PMC5783535/ /pubmed/28832752 http://dx.doi.org/10.11606/S1518-8787.2017051006239 Text en http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Articles
Carvalho, Silvia
Magalhães, Mônica de Avelar Figueiredo Mafra
Medronho, Roberto de Andrade
Analysis of the spatial distribution of dengue cases in the city of Rio de Janeiro, 2011 and 2012
title Analysis of the spatial distribution of dengue cases in the city of Rio de Janeiro, 2011 and 2012
title_full Analysis of the spatial distribution of dengue cases in the city of Rio de Janeiro, 2011 and 2012
title_fullStr Analysis of the spatial distribution of dengue cases in the city of Rio de Janeiro, 2011 and 2012
title_full_unstemmed Analysis of the spatial distribution of dengue cases in the city of Rio de Janeiro, 2011 and 2012
title_short Analysis of the spatial distribution of dengue cases in the city of Rio de Janeiro, 2011 and 2012
title_sort analysis of the spatial distribution of dengue cases in the city of rio de janeiro, 2011 and 2012
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5783535/
https://www.ncbi.nlm.nih.gov/pubmed/28832752
http://dx.doi.org/10.11606/S1518-8787.2017051006239
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