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Spatial and temporal epidemiology of malaria in extra-Amazonian regions of Brazil
BACKGROUND: Mosquitoes, Plasmodium parasites, and humans live in sympatry in some extra-Amazonian regions of Brazil. Recent migrations of people from Amazonia and other countries to extra-Amazonian regions have led to many malaria outbreaks. Lack of relevant expertise among health professionals in n...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4607178/ https://www.ncbi.nlm.nih.gov/pubmed/26466889 http://dx.doi.org/10.1186/s12936-015-0934-6 |
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author | Lorenz, Camila Virginio, Flávia Aguiar, Breno S. Suesdek, Lincoln Chiaravalloti-Neto, Francisco |
author_facet | Lorenz, Camila Virginio, Flávia Aguiar, Breno S. Suesdek, Lincoln Chiaravalloti-Neto, Francisco |
author_sort | Lorenz, Camila |
collection | PubMed |
description | BACKGROUND: Mosquitoes, Plasmodium parasites, and humans live in sympatry in some extra-Amazonian regions of Brazil. Recent migrations of people from Amazonia and other countries to extra-Amazonian regions have led to many malaria outbreaks. Lack of relevant expertise among health professionals in non-endemic areas can lead to a neglect of the disease, which can be dangerous given its high fatality rate. Therefore, understanding the spatial and temporal epidemiology of malaria is essential for developing strategies for disease control and elimination. This study aimed to characterize imported (IMP) and autochthonous/introduced (AU/IN) cases in the extra-Amazonian regions and identify risk areas and groups. METHODS: Epidemiological data collected between 2007 and 2014 were obtained from the Notifiable Diseases Information System of the Ministry of Health (SINAN) and from the Department of the Unified Health System (DATASUS). High malaria risk areas were determined using the Local Indicator of Spatial Association. IMP and AU/IN malaria incidence rates were corrected by Local Empirical Bayesian rates. RESULTS: A total of 6092 malaria cases (IMP: 5416, 88.9 %; AU/IN: 676, 11.1 %) was recorded in the extra-Amazonian regions in 2007–2014. The highest numbers of IMP and AU/IN cases were registered in 2007 (n = 862) and 2010 (n = 149), respectively. IMP cases were more frequent than AU/IN cases in all states except for Espírito Santo. Piauí, Espírito Santo, and Paraná states had high incidences of AU/IN malaria. The majority of infections were by Plasmodium falciparum in northeast and southeast regions, while Plasmodium vivax was the predominant species in the south and mid-west showed cases of dual infection. AU/IN malaria cases were concentrated in the coastal region of Brazil, which contains the Atlantic Forest and hosts the Anopheles transmitters. Several malaria clusters were also associated with the Brazilian Pantanal biome and regions bordering the Amazonian biome. CONCLUSION: Malaria is widespread outside the Amazonian region of Brazil, including in more urbanized and industrialized states. This fact is concerning because these highly populated areas retain favourable conditions for spreading of the parasites and vectors. Control measures for both IMP and AU/IN malaria are essential in these high-risk areas. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12936-015-0934-6) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4607178 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-46071782015-10-16 Spatial and temporal epidemiology of malaria in extra-Amazonian regions of Brazil Lorenz, Camila Virginio, Flávia Aguiar, Breno S. Suesdek, Lincoln Chiaravalloti-Neto, Francisco Malar J Research BACKGROUND: Mosquitoes, Plasmodium parasites, and humans live in sympatry in some extra-Amazonian regions of Brazil. Recent migrations of people from Amazonia and other countries to extra-Amazonian regions have led to many malaria outbreaks. Lack of relevant expertise among health professionals in non-endemic areas can lead to a neglect of the disease, which can be dangerous given its high fatality rate. Therefore, understanding the spatial and temporal epidemiology of malaria is essential for developing strategies for disease control and elimination. This study aimed to characterize imported (IMP) and autochthonous/introduced (AU/IN) cases in the extra-Amazonian regions and identify risk areas and groups. METHODS: Epidemiological data collected between 2007 and 2014 were obtained from the Notifiable Diseases Information System of the Ministry of Health (SINAN) and from the Department of the Unified Health System (DATASUS). High malaria risk areas were determined using the Local Indicator of Spatial Association. IMP and AU/IN malaria incidence rates were corrected by Local Empirical Bayesian rates. RESULTS: A total of 6092 malaria cases (IMP: 5416, 88.9 %; AU/IN: 676, 11.1 %) was recorded in the extra-Amazonian regions in 2007–2014. The highest numbers of IMP and AU/IN cases were registered in 2007 (n = 862) and 2010 (n = 149), respectively. IMP cases were more frequent than AU/IN cases in all states except for Espírito Santo. Piauí, Espírito Santo, and Paraná states had high incidences of AU/IN malaria. The majority of infections were by Plasmodium falciparum in northeast and southeast regions, while Plasmodium vivax was the predominant species in the south and mid-west showed cases of dual infection. AU/IN malaria cases were concentrated in the coastal region of Brazil, which contains the Atlantic Forest and hosts the Anopheles transmitters. Several malaria clusters were also associated with the Brazilian Pantanal biome and regions bordering the Amazonian biome. CONCLUSION: Malaria is widespread outside the Amazonian region of Brazil, including in more urbanized and industrialized states. This fact is concerning because these highly populated areas retain favourable conditions for spreading of the parasites and vectors. Control measures for both IMP and AU/IN malaria are essential in these high-risk areas. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12936-015-0934-6) contains supplementary material, which is available to authorized users. BioMed Central 2015-10-15 /pmc/articles/PMC4607178/ /pubmed/26466889 http://dx.doi.org/10.1186/s12936-015-0934-6 Text en © Lorenz et al. 2015 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 Lorenz, Camila Virginio, Flávia Aguiar, Breno S. Suesdek, Lincoln Chiaravalloti-Neto, Francisco Spatial and temporal epidemiology of malaria in extra-Amazonian regions of Brazil |
title | Spatial and temporal epidemiology of malaria in extra-Amazonian regions of Brazil |
title_full | Spatial and temporal epidemiology of malaria in extra-Amazonian regions of Brazil |
title_fullStr | Spatial and temporal epidemiology of malaria in extra-Amazonian regions of Brazil |
title_full_unstemmed | Spatial and temporal epidemiology of malaria in extra-Amazonian regions of Brazil |
title_short | Spatial and temporal epidemiology of malaria in extra-Amazonian regions of Brazil |
title_sort | spatial and temporal epidemiology of malaria in extra-amazonian regions of brazil |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4607178/ https://www.ncbi.nlm.nih.gov/pubmed/26466889 http://dx.doi.org/10.1186/s12936-015-0934-6 |
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