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Dengue epidemic typology and risk factors for extensive epidemic in Amazonas state, Brazil, 2010–2011
BACKGROUND: Dengue is the most prevalent arboviral disease affecting humans. The frequency and magnitude of dengue epidemic have significantly increased over recent decades. This study aimed to identify dengue epidemic types and risk factors for the extensive epidemics that occurred in 2010–2011, ac...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5855995/ https://www.ncbi.nlm.nih.gov/pubmed/29544456 http://dx.doi.org/10.1186/s12889-018-5251-x |
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author | de Castro, Daniel Barros Sampaio, Vanderson Souza de Albuquerque, Bernardino Cláudio Pinto, Rosemary Costa Sadahiro, Megumi dos Passos, Ricardo Augusto da Costa, Cristiano Fernandes Braga, José Ueleres |
author_facet | de Castro, Daniel Barros Sampaio, Vanderson Souza de Albuquerque, Bernardino Cláudio Pinto, Rosemary Costa Sadahiro, Megumi dos Passos, Ricardo Augusto da Costa, Cristiano Fernandes Braga, José Ueleres |
author_sort | de Castro, Daniel Barros |
collection | PubMed |
description | BACKGROUND: Dengue is the most prevalent arboviral disease affecting humans. The frequency and magnitude of dengue epidemic have significantly increased over recent decades. This study aimed to identify dengue epidemic types and risk factors for the extensive epidemics that occurred in 2010–2011, across the municipalities of Amazonas state, Brazil. METHODS: Using an ecological approach, secondary data were obtained from the dengue fever surveillance system. Epidemic waves were classified according to three indices: duration, intensity, and coverage. A hierarchical model of multiple logistic regression was used for the identification of risk factors, with the occurrence of extensive dengue epidemic. RESULTS: During the study period, dengue virus affected 49 of the 62 Amazonas municipalities. In 22 of these, the epidemics were of high intensity, wide range, and long time span, and therefore categorized as “extensive epidemics”. The final multivariable model revealed a significant association between extensive dengue epidemics occurrence and the average number of days with precipitation (adjusted OR = 1.40, 95% CI: 1.01–1.94) and the number of years with infestation (adjusted OR = 1.53, 95% CI: 1.18–1.98). CONCLUSIONS: Our results indicate that it is crucial to integrate vector control, case management, epidemiological investigation, and health education, in order to respond to the growing threat of multiple mosquito-borne diseases, such as dengue, Zika and chikungunya, which are highly prevalent in the South America region. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12889-018-5251-x) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5855995 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-58559952018-03-22 Dengue epidemic typology and risk factors for extensive epidemic in Amazonas state, Brazil, 2010–2011 de Castro, Daniel Barros Sampaio, Vanderson Souza de Albuquerque, Bernardino Cláudio Pinto, Rosemary Costa Sadahiro, Megumi dos Passos, Ricardo Augusto da Costa, Cristiano Fernandes Braga, José Ueleres BMC Public Health Research Article BACKGROUND: Dengue is the most prevalent arboviral disease affecting humans. The frequency and magnitude of dengue epidemic have significantly increased over recent decades. This study aimed to identify dengue epidemic types and risk factors for the extensive epidemics that occurred in 2010–2011, across the municipalities of Amazonas state, Brazil. METHODS: Using an ecological approach, secondary data were obtained from the dengue fever surveillance system. Epidemic waves were classified according to three indices: duration, intensity, and coverage. A hierarchical model of multiple logistic regression was used for the identification of risk factors, with the occurrence of extensive dengue epidemic. RESULTS: During the study period, dengue virus affected 49 of the 62 Amazonas municipalities. In 22 of these, the epidemics were of high intensity, wide range, and long time span, and therefore categorized as “extensive epidemics”. The final multivariable model revealed a significant association between extensive dengue epidemics occurrence and the average number of days with precipitation (adjusted OR = 1.40, 95% CI: 1.01–1.94) and the number of years with infestation (adjusted OR = 1.53, 95% CI: 1.18–1.98). CONCLUSIONS: Our results indicate that it is crucial to integrate vector control, case management, epidemiological investigation, and health education, in order to respond to the growing threat of multiple mosquito-borne diseases, such as dengue, Zika and chikungunya, which are highly prevalent in the South America region. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12889-018-5251-x) contains supplementary material, which is available to authorized users. BioMed Central 2018-03-15 /pmc/articles/PMC5855995/ /pubmed/29544456 http://dx.doi.org/10.1186/s12889-018-5251-x Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article de Castro, Daniel Barros Sampaio, Vanderson Souza de Albuquerque, Bernardino Cláudio Pinto, Rosemary Costa Sadahiro, Megumi dos Passos, Ricardo Augusto da Costa, Cristiano Fernandes Braga, José Ueleres Dengue epidemic typology and risk factors for extensive epidemic in Amazonas state, Brazil, 2010–2011 |
title | Dengue epidemic typology and risk factors for extensive epidemic in Amazonas state, Brazil, 2010–2011 |
title_full | Dengue epidemic typology and risk factors for extensive epidemic in Amazonas state, Brazil, 2010–2011 |
title_fullStr | Dengue epidemic typology and risk factors for extensive epidemic in Amazonas state, Brazil, 2010–2011 |
title_full_unstemmed | Dengue epidemic typology and risk factors for extensive epidemic in Amazonas state, Brazil, 2010–2011 |
title_short | Dengue epidemic typology and risk factors for extensive epidemic in Amazonas state, Brazil, 2010–2011 |
title_sort | dengue epidemic typology and risk factors for extensive epidemic in amazonas state, brazil, 2010–2011 |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5855995/ https://www.ncbi.nlm.nih.gov/pubmed/29544456 http://dx.doi.org/10.1186/s12889-018-5251-x |
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