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Temporal and Spatial Evolution of Dengue Incidence in Brazil, 2001-2012
BACKGROUND: In Brazil, the incidence of dengue greatly increased in the last two decades and there are several factors impeding the control of the disease. The present study focused on describing the space-time evolution of dengue in Brazil from 2001 to 2012 and analyzing the relationship of the rep...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5104436/ https://www.ncbi.nlm.nih.gov/pubmed/27832129 http://dx.doi.org/10.1371/journal.pone.0165945 |
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author | Rodrigues, Nádia Cristina Pinheiro Lino, Valéria Teresa Saraiva Daumas, Regina Paiva Andrade, Mônica Kramer de Noronha O’Dwyer, Gisele Monteiro, Denise Leite Maia Gerardi, Alyssa Fernandes, Gabriel Henrique Barroso Viana Ramos, José Augusto Sapienza Ferreira, Carlos Eduardo Gonçalves Leite, Iuri da Costa |
author_facet | Rodrigues, Nádia Cristina Pinheiro Lino, Valéria Teresa Saraiva Daumas, Regina Paiva Andrade, Mônica Kramer de Noronha O’Dwyer, Gisele Monteiro, Denise Leite Maia Gerardi, Alyssa Fernandes, Gabriel Henrique Barroso Viana Ramos, José Augusto Sapienza Ferreira, Carlos Eduardo Gonçalves Leite, Iuri da Costa |
author_sort | Rodrigues, Nádia Cristina Pinheiro |
collection | PubMed |
description | BACKGROUND: In Brazil, the incidence of dengue greatly increased in the last two decades and there are several factors impeding the control of the disease. The present study focused on describing the space-time evolution of dengue in Brazil from 2001 to 2012 and analyzing the relationship of the reported cases with socio-demographic and environmental factors. METHODS: The analytic units used in the preparation of thematic maps were municipalities. Statistical tests and multilevel regression models were used to evaluate the association between dengue incidence and the following factors: climate, diagnostic period, demographic density, percentage of people living in rural areas, Gross Domestic Product, Gini index, percentage of garbage collection and the rate of households with a sewage network. RESULTS: The largest accumulation of dengue cases in Brazil was concentrated on the Atlantic coast and in the interior part of São Paulo State. The risk of dengue in subtropical and tropical climates was 1.20–11 times lower than that observed in semi-arid climates. In 2009–2010 and 2011–2012, the risks were ten and six times higher than in 2003–2004, respectively. CONCLUSION: Dengue is a common infection in the Brazilian population, with the largest accumulation of dengue cases concentrated on the Atlantic coast and in the interior area of São Paulo State. The high dengue rates observed in the Brazilian coastal region suggest that the cases imported from neighboring countries contribute to the spread of the disease in the country. Our results suggest that several socio-demographic and environmental factors resulted in the increase of dengue in the country over time. This is likely applicable to the occurrence of other arboviruses like Zika and chikungunya. To reverse the situation, Brazil must implement effective public policies that offer basic services such as garbage collection and sanitation networks as well as reduce vector populations. |
format | Online Article Text |
id | pubmed-5104436 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-51044362016-12-08 Temporal and Spatial Evolution of Dengue Incidence in Brazil, 2001-2012 Rodrigues, Nádia Cristina Pinheiro Lino, Valéria Teresa Saraiva Daumas, Regina Paiva Andrade, Mônica Kramer de Noronha O’Dwyer, Gisele Monteiro, Denise Leite Maia Gerardi, Alyssa Fernandes, Gabriel Henrique Barroso Viana Ramos, José Augusto Sapienza Ferreira, Carlos Eduardo Gonçalves Leite, Iuri da Costa PLoS One Research Article BACKGROUND: In Brazil, the incidence of dengue greatly increased in the last two decades and there are several factors impeding the control of the disease. The present study focused on describing the space-time evolution of dengue in Brazil from 2001 to 2012 and analyzing the relationship of the reported cases with socio-demographic and environmental factors. METHODS: The analytic units used in the preparation of thematic maps were municipalities. Statistical tests and multilevel regression models were used to evaluate the association between dengue incidence and the following factors: climate, diagnostic period, demographic density, percentage of people living in rural areas, Gross Domestic Product, Gini index, percentage of garbage collection and the rate of households with a sewage network. RESULTS: The largest accumulation of dengue cases in Brazil was concentrated on the Atlantic coast and in the interior part of São Paulo State. The risk of dengue in subtropical and tropical climates was 1.20–11 times lower than that observed in semi-arid climates. In 2009–2010 and 2011–2012, the risks were ten and six times higher than in 2003–2004, respectively. CONCLUSION: Dengue is a common infection in the Brazilian population, with the largest accumulation of dengue cases concentrated on the Atlantic coast and in the interior area of São Paulo State. The high dengue rates observed in the Brazilian coastal region suggest that the cases imported from neighboring countries contribute to the spread of the disease in the country. Our results suggest that several socio-demographic and environmental factors resulted in the increase of dengue in the country over time. This is likely applicable to the occurrence of other arboviruses like Zika and chikungunya. To reverse the situation, Brazil must implement effective public policies that offer basic services such as garbage collection and sanitation networks as well as reduce vector populations. Public Library of Science 2016-11-10 /pmc/articles/PMC5104436/ /pubmed/27832129 http://dx.doi.org/10.1371/journal.pone.0165945 Text en © 2016 Rodrigues et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://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 Rodrigues, Nádia Cristina Pinheiro Lino, Valéria Teresa Saraiva Daumas, Regina Paiva Andrade, Mônica Kramer de Noronha O’Dwyer, Gisele Monteiro, Denise Leite Maia Gerardi, Alyssa Fernandes, Gabriel Henrique Barroso Viana Ramos, José Augusto Sapienza Ferreira, Carlos Eduardo Gonçalves Leite, Iuri da Costa Temporal and Spatial Evolution of Dengue Incidence in Brazil, 2001-2012 |
title | Temporal and Spatial Evolution of Dengue Incidence in Brazil, 2001-2012 |
title_full | Temporal and Spatial Evolution of Dengue Incidence in Brazil, 2001-2012 |
title_fullStr | Temporal and Spatial Evolution of Dengue Incidence in Brazil, 2001-2012 |
title_full_unstemmed | Temporal and Spatial Evolution of Dengue Incidence in Brazil, 2001-2012 |
title_short | Temporal and Spatial Evolution of Dengue Incidence in Brazil, 2001-2012 |
title_sort | temporal and spatial evolution of dengue incidence in brazil, 2001-2012 |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5104436/ https://www.ncbi.nlm.nih.gov/pubmed/27832129 http://dx.doi.org/10.1371/journal.pone.0165945 |
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