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Risk factors for arbovirus infections in a low-income community of Rio de Janeiro, Brazil, 2015-2016
BACKGROUND: Dengue epidemics have occurred in the city of Rio de Janeiro (Brazil) since 1986. In the year 2015, Zika and chikungunya viruses were introduced in the city, causing sequential and simultaneous epidemics. Poor socioeconomic conditions have been suggested as contributing factors of arbovi...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5991716/ https://www.ncbi.nlm.nih.gov/pubmed/29879155 http://dx.doi.org/10.1371/journal.pone.0198357 |
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author | Rodrigues, Nádia Cristina Pinheiro Daumas, Regina Paiva de Almeida, Andrea Sobral dos Santos, Reinaldo Souza Koster, Isabella Rodrigues, Pedro Pinheiro Gomes, Marcelly de Freitas Macedo, Auriane de Fátima Gerardi, Alyssa Leite, Iúri da Costa |
author_facet | Rodrigues, Nádia Cristina Pinheiro Daumas, Regina Paiva de Almeida, Andrea Sobral dos Santos, Reinaldo Souza Koster, Isabella Rodrigues, Pedro Pinheiro Gomes, Marcelly de Freitas Macedo, Auriane de Fátima Gerardi, Alyssa Leite, Iúri da Costa |
author_sort | Rodrigues, Nádia Cristina Pinheiro |
collection | PubMed |
description | BACKGROUND: Dengue epidemics have occurred in the city of Rio de Janeiro (Brazil) since 1986. In the year 2015, Zika and chikungunya viruses were introduced in the city, causing sequential and simultaneous epidemics. Poor socioeconomic conditions have been suggested as contributing factors of arboviral infection. OBJECTIVE: To describe the spatial distribution of human cases of symptomatic arboviral infections and to identify risk factors for infection in a poor community of Rio de Janeiro in the years 2015 and 2016. METHODS: We built thematic maps of incidence rates for 78 micro-areas in the Manguinhos neighborhood. The micro-areas congregate about 600 inhabitants. Simple and multiple multilevel logistic regression models were used to evaluate the association between the incidence of arboviral diseases and socio-demographic factors at both the individual and micro-area levels. RESULTS: From 2015 to 2016, 370 human cases of arbovirus infection were reported in the Manguinhos community: 123 in 2015 and 247 in 2016. There was a significant difference in the risk of arbovirus diseases among different micro-areas, but this was not explained by water and sanitation indicators. The cumulative incidence rate was 849/100,000 in two years. The incidence was greater in those individuals with familiar vulnerability (1,156/100,000 vs. 794/100,000). The multilevel adjusted model showed that the odds of acquiring an arbovirus infection was 55% greater in those with familiar vulnerability. CONCLUSION: Arbovirus infections cause a high burden of disease in Brazilian urban centers. Our results suggest that even in poor neighborhoods, there is a high spatial variability in the risk of acquiring an arbovirus infection. The conditions that favor vector proliferation and infection by arboviruses are complex and involve both individual and environmental characteristics that vary from place to place. To reduce the burden of arboviral diseases, continued public health policies and basic services should be provided to the communities at risk that consider specific local needs. |
format | Online Article Text |
id | pubmed-5991716 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-59917162018-06-16 Risk factors for arbovirus infections in a low-income community of Rio de Janeiro, Brazil, 2015-2016 Rodrigues, Nádia Cristina Pinheiro Daumas, Regina Paiva de Almeida, Andrea Sobral dos Santos, Reinaldo Souza Koster, Isabella Rodrigues, Pedro Pinheiro Gomes, Marcelly de Freitas Macedo, Auriane de Fátima Gerardi, Alyssa Leite, Iúri da Costa PLoS One Research Article BACKGROUND: Dengue epidemics have occurred in the city of Rio de Janeiro (Brazil) since 1986. In the year 2015, Zika and chikungunya viruses were introduced in the city, causing sequential and simultaneous epidemics. Poor socioeconomic conditions have been suggested as contributing factors of arboviral infection. OBJECTIVE: To describe the spatial distribution of human cases of symptomatic arboviral infections and to identify risk factors for infection in a poor community of Rio de Janeiro in the years 2015 and 2016. METHODS: We built thematic maps of incidence rates for 78 micro-areas in the Manguinhos neighborhood. The micro-areas congregate about 600 inhabitants. Simple and multiple multilevel logistic regression models were used to evaluate the association between the incidence of arboviral diseases and socio-demographic factors at both the individual and micro-area levels. RESULTS: From 2015 to 2016, 370 human cases of arbovirus infection were reported in the Manguinhos community: 123 in 2015 and 247 in 2016. There was a significant difference in the risk of arbovirus diseases among different micro-areas, but this was not explained by water and sanitation indicators. The cumulative incidence rate was 849/100,000 in two years. The incidence was greater in those individuals with familiar vulnerability (1,156/100,000 vs. 794/100,000). The multilevel adjusted model showed that the odds of acquiring an arbovirus infection was 55% greater in those with familiar vulnerability. CONCLUSION: Arbovirus infections cause a high burden of disease in Brazilian urban centers. Our results suggest that even in poor neighborhoods, there is a high spatial variability in the risk of acquiring an arbovirus infection. The conditions that favor vector proliferation and infection by arboviruses are complex and involve both individual and environmental characteristics that vary from place to place. To reduce the burden of arboviral diseases, continued public health policies and basic services should be provided to the communities at risk that consider specific local needs. Public Library of Science 2018-06-07 /pmc/articles/PMC5991716/ /pubmed/29879155 http://dx.doi.org/10.1371/journal.pone.0198357 Text en © 2018 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 Daumas, Regina Paiva de Almeida, Andrea Sobral dos Santos, Reinaldo Souza Koster, Isabella Rodrigues, Pedro Pinheiro Gomes, Marcelly de Freitas Macedo, Auriane de Fátima Gerardi, Alyssa Leite, Iúri da Costa Risk factors for arbovirus infections in a low-income community of Rio de Janeiro, Brazil, 2015-2016 |
title | Risk factors for arbovirus infections in a low-income community of Rio de Janeiro, Brazil, 2015-2016 |
title_full | Risk factors for arbovirus infections in a low-income community of Rio de Janeiro, Brazil, 2015-2016 |
title_fullStr | Risk factors for arbovirus infections in a low-income community of Rio de Janeiro, Brazil, 2015-2016 |
title_full_unstemmed | Risk factors for arbovirus infections in a low-income community of Rio de Janeiro, Brazil, 2015-2016 |
title_short | Risk factors for arbovirus infections in a low-income community of Rio de Janeiro, Brazil, 2015-2016 |
title_sort | risk factors for arbovirus infections in a low-income community of rio de janeiro, brazil, 2015-2016 |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5991716/ https://www.ncbi.nlm.nih.gov/pubmed/29879155 http://dx.doi.org/10.1371/journal.pone.0198357 |
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