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      Análise espacial e determinação de áreas prioritárias para o controle da malária, no Estado no Tocantins, 2003-2008 Translated title: Spatial analysis and determination of priority areas for malaria control in the State of Tocantins, from 2003 to 2008

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          Abstract

          INTRODUÇÃO: No Tocantins, a malária apresenta comportamento diferenciado entre as microrregiões, com predominância dos casos importados. Este estudo descreve a análise espacial da malária no estado, no período de 2003 a 2008, buscando identificar nas microrregiões a incidência de casos autóctones e importados, bem como a procedência destes últimos. MÉTODOS: Trata-se de um estudo retrospectivo, pautado em dados secundários, que teve como fonte de dados o Sistema de Informações de Vigilância Epidemiológica - Malária (SIVEP-Malária), analisados através dos softwares estatísticos Epi Info versão 3.5.1. e Bioestat versão 5.0. RESULTADOS: Constatou-se que a malária não teve distribuição homogênea em todos os municípios. A área de maior prioridade agregou municípios localizados nas microrregiões oeste do estado, fronteira com o Pará, onde também se concentram o maior número de casos autóctones. A associação entre os casos autóctones e importados e as espécies de Plasmodium mostrou uma diferença estatisticamente significativa (G = 54,25; p < 0,0001). Das oito microrregiões, Miracema do Tocantins, Araguaína e Bico do Papagaio agruparam 75,8% dos casos, e nessas, onze municípios se sobressaíram. Quanto à procedência, o Estado do Pará apresentou ampla distribuição com 85,5% do total, seguido por Guiana Francesa com 7,4%. CONCLUSÕES: Os resultados demonstraram a predominância dos casos importados e a diferença entre os municípios e microrregiões, apontando pela influencia de estados vizinhos na determinação das áreas de maior risco. Esses dados são importantes, pois contribuem para orientação e direcionamento das políticas públicas para o agravo no Tocantins.

          Translated abstract

          INTRODUCTION: In Tocantins, the behavior of malaria differs between microregions, with predominance of imported cases. This study describes a spatial analysis on malaria in the state covering 2003 to 2008, which sought to identify the incidence of autochthonous and imported cases, and the origin of the latter, in the microregions. METHODS: This was a retrospective study using secondary data. The data source was the epidemiological surveillance information system for malaria (SIVEP-Malária), and the data were analyzed using the Epi Info version 3.5.1 and Bioestat version 5.0 statistical software. RESULTS: It was found that malaria was not homogeneously distributed in all municipalities. The area of highest priority comprised municipalities located in microregions in the west of the state, at the border of Pará, which also had the highest number of autochthonous cases. The association between the autochthonous and imported cases and the Plasmodium species showed a statistically significant difference (G = 54.25; p < 0.0001). Among the eight microregions, Miracema do Tocantins, Araguaína and Bico do Papagaio accounted for 75.8% of the cases and, among these, eleven municipalities stood out. Regarding provenance, the State of Pará showed widespread distribution with 85.5% of the total, followed by French Guiana with 7.4%. CONCLUSIONS: These results demonstrated the predominance of imported cases and the difference between municipalities and microregions, and showed the influence of neighboring states in determining the areas of greatest risk. These data are important, since they contribute towards guiding and directing public policies regarding this disease in Tocantins.

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          Most cited references 56

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          Informações de Saúde

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            Spatial analysis of malaria incidence at the village level in areas with unstable transmission in Ethiopia

            Background Malaria is the leading cause of morbidity and mortality in Ethiopia, accounting for over five million cases and thousands of deaths annually. The risks of morbidity and mortality associated with malaria are characterized by spatial and temporal variation across the country. This study examines the spatial and temporal patterns of malaria transmission at the local level and implements a risk mapping tool to aid in monitoring and disease control activities. Methods In this study, we examine the global and local patterns of malaria distribution in 543 villages in East Shoa, central Ethiopia using individual-level morbidity data collected from six laboratory and treatment centers between September 2002 and August 2006. Results Statistical analysis of malaria incidence by sex, age, and village through time reveal the presence of significant spatio-temporal variations. Poisson regression analysis shows a decrease in malaria incidence with increasing age. A significant difference in the malaria incidence density ratio (IDRs) is detected in males but not in females. A significant decrease in the malaria IDRs with increasing age is captured by a quadratic model. Local spatial statistics reveals clustering or hot spots within a 5 and 10 km distance of most villages in the study area. In addition, there are temporal variations in malaria incidence. Conclusion Malaria incidence varies according to gender and age, with males age 5 and above showing a statistically higher incidence. Significant local clustering of malaria incidence occurs between pairs of villages within 1–10 km distance lags. Malaria incidence was higher in 2002–2003 than in other periods of observation. Malaria hot spots are displayed as risk maps that are useful for monitoring and spatial targeting of prevention and control measures against the disease.
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              Manual de terapêutica da malária

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                Author and article information

                Journal
                rsbmt
                Revista da Sociedade Brasileira de Medicina Tropical
                Rev. Soc. Bras. Med. Trop.
                Sociedade Brasileira de Medicina Tropical - SBMT (Uberaba, MG, Brazil )
                0037-8682
                1678-9849
                February 2011
                : 44
                : 1
                : 63-69
                Affiliations
                Palmas TO orgnameSecretaria Municipal de Saúde
                Palmas TO orgnameUniversidade Federal do Tocantins
                Article
                S0037-86822011000100015 S0037-8682(11)04400115
                10.1590/S0037-86822011000100015

                This work is licensed under a Creative Commons Attribution 4.0 International License.

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                Figures: 0, Tables: 0, Equations: 0, References: 35, Pages: 7
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