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      Spatial analysis of risk areas for the development of tuberculosis and treatment outcomes Translated title: Análise espacial de área de risco para tuberculose e os desfechos no tratamento Translated title: Análisis espacial de áreas de riesgo para desarrollo de la tuberculosis y desfechos del tratamiento

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          Abstract

          ABSTRACT Objectives: to identify risk clusters for the occurrence of tuberculosis and its treatment outcomes. Methods: ecological study, in a city in Maranhão, using data from the Notifiable Diseases Information System. Point density analysis and isotonic scanning techniques were used to identify areas with the highest occurrence of treatment outcomes and identify risk areas for possible tuberculosis cases. Results: most tuberculosis cases occurred in the male, adult, brown-skinned population. Also, most of the reported cases were classified as pulmonary and as new cases that progressed to a cure. The areas with the highest density of cure, death and abandonment are located in the central region of the city. Conclusions: the central region of the urban area of the city, with high demographic density and poor sanitary and socioeconomic conditions, presented a greater cluster of tuberculosis cases.

          Translated abstract

          RESUMO Objetivos: identificar aglomerados de risco para ocorrência da tuberculose e desfechos no tratamento. Métodos: estudo ecológico, realizado em município maranhense, usando dados do Sistema de Informação de Agravos de Notificação. Utilizou-se técnica de análise de densidade de pontos e de varredura isotônica, para identificação das áreas de maior ocorrência dos desfechos no tratamento e identificação das áreas de risco para os casos de tuberculose. Resultados: a maioria dos casos de tuberculose ocorreu em pessoas do sexo masculino, adultos, da raça parda. Também, a maior parte dos casos notificados classificou-se como pulmonar e se referiu a casos novos, progredindo para a cura. As áreas com maior densidade de cura, óbito e abandono estão localizadas na região central do município. Conclusões: a região central da área urbana da cidade, com alta densidade demográfica e precárias condições sanitárias e socioeconômicas, apresentou maior aglomerado de casos de tuberculose.

          Translated abstract

          RESUMEN Objetivos: identificar aglomerados de riesgo para ocurrencia de tuberculosis y desfechos en el tratamiento. Métodos: estudio ecológico, realizado en Maranhão, usando datos del Sistema de Información de Agravios de Notificación. Utilizó técnica de análisis de densidad de puntos y de barredura isotónica, para identificación de áreas de mayor ocurrencia de los desfechos en el tratamiento e identificación de áreas de riesgo para los casos de tuberculosis. Resultados: mayoría de los casos de tuberculosis ocurrió en personas del sexo masculino, adultos, de la raza parda. También, la mayor parte de los casos notificados se clasificó como pulmonar y se refirió a casos nuevos, progresando hacia la cura. Áreas con mayor densidad de cura, óbito y abandono están ubicadas en la región central del municipio. Conclusiones: la región central del área urbana de la ciudad, con alta densidad demográfica y precarias condiciones sanitarias y socioeconómicas, presentó mayor aglomerado de casos de tuberculosis.

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          Most cited references33

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          Spatial disease clusters: Detection and inference

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            Global tuberculosis report

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              Delimiting Areas of Endemism through Kernel Interpolation

              We propose a new approach for identification of areas of endemism, the Geographical Interpolation of Endemism (GIE), based on kernel spatial interpolation. This method differs from others in being independent of grid cells. This new approach is based on estimating the overlap between the distribution of species through a kernel interpolation of centroids of species distribution and areas of influence defined from the distance between the centroid and the farthest point of occurrence of each species. We used this method to delimit areas of endemism of spiders from Brazil. To assess the effectiveness of GIE, we analyzed the same data using Parsimony Analysis of Endemism and NDM and compared the areas identified through each method. The analyses using GIE identified 101 areas of endemism of spiders in Brazil GIE demonstrated to be effective in identifying areas of endemism in multiple scales, with fuzzy edges and supported by more synendemic species than in the other methods. The areas of endemism identified with GIE were generally congruent with those identified for other taxonomic groups, suggesting that common processes can be responsible for the origin and maintenance of these biogeographic units.
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                Author and article information

                Journal
                reben
                Revista Brasileira de Enfermagem
                Rev. Bras. Enferm.
                Associação Brasileira de Enfermagem (Brasília, DF, Brazil )
                0034-7167
                1984-0446
                2021
                : 74
                : 2
                : e20200564
                Affiliations
                [2] Imperatriz orgnameUniversidade Federal do Maranhão Brazil
                [1] Ribeirão Preto orgnameUniversidade de São Paulo Brazil
                Article
                S0034-71672021000200169 S0034-7167(21)07400200169
                10.1590/0034-7167-2020-0564
                34076221
                88fd6af3-f4d2-4937-842f-9a9f2e40344f

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

                History
                : 24 July 2020
                : 10 November 2020
                Page count
                Figures: 0, Tables: 0, Equations: 0, References: 33, Pages: 0
                Product

                SciELO Brazil

                Categories
                Original Article

                Estudios Ecológicos,Tuberculose,Estudos Ecológicos,Análise Espacial,Área de Risco,Enfermagem,Tuberculosis,Análisis Espacial,Área de Riesgo,Enfermería,Ecological Parameter,Spatial Analysis,Risk Factors,Nursing

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