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      PERFIL EPIDEMIOLÓGICO E DISTRIBUIÇÃO ESPACIAL DA HANSENÍASE EM PAULO AFONSO, BAHIA Translated title: PERFIL EPIDEMIOLÓGICO Y DISTRIBUCION ESPACIAL DE LA LEPRA EN PAULO AFONSO, BAHÍA Translated title: EPIDEMIOLOGICAL PROFILE AND SPATIAL DISTRIBUTION OF LEPROSY IN PAULO AFONSO, BAHIA

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          Abstract

          Objetivos analisar as características epidemiológicas e distribuição dos casos novos de hanseníase na população de Paulo Afonso, Bahia, entre 2000 e 2015. Método estudo descritivo com todos os casos novos de hanseníase notificados no Sistema de Informações de Agravos de Notificação. Foram utilizadas variáveis sociodemográficas e clínicas e calculados os coeficientes de detecção anuais. Estimativas populacionais foram obtidas no Instituto Brasileiro de Geografia e Estatística. Resultados a maioria dos 1.069 casos novos notificados foi do sexo feminino (57,2%), residiam na zona urbana (92%), raça/cor parda (66,92%), ensino fundamental (67,6%), maiores de quinze anos (92,5%), forma clínica tuberculoide (48,26%), paucibacilares (62,3%), grau de incapacidade física no diagnóstico (45,93%) e na cura (29,75%). Conclusão o perfil epidemiológico da hanseníase em Paulo Afonso é similar ao nacional, houve variações nos coeficientes de detecção da hanseníase entre os anos e a análise espacial evidenciou distribuição heterogênea, com maior concentração de casos nos bairros periféricos.

          Translated abstract

          Objetivos analizar las características epidemiológicas y la distribución de nuevos casos de lepra en la población de Paulo Afonso, Bahía, entre 2000 y 2015. Método estudio descriptivo con todos los nuevos casos de lepra reportados en el Sistema de Información de Enfermedades Notificables. Se utilizaron variables sociodemográficas y clínicas y se calcularon los coeficientes anuales de detección. Las estimaciones de población se obtuvieron del Instituto Brasileño de Geografía y Estadística. Resultados la mayoría de los 1.069 nuevos casos notificados fueron mujeres (57,2%), que viven en el área urbana (92%), raza/color parda (66,92%), escuela primaria (67,6%), con más de quince años (92,5%), forma clínica de tuberculoide (48,26%), paucibacilario (62,3%), grado de discapacidad física al diagnóstico (45,93%) y en la cura (29,75%). Conclusión el perfil epidemiológico de la lepra en Paulo Afonso es similar al nacional, hubo variaciones en los coeficientes de detección de lepra entre años y el análisis espacial mostró una distribución heterogénea, con una mayor concentración de casos en barrios periféricos.

          Translated abstract

          Objectives to analyze the epidemiological characteristics and distribution of new leprosy cases in the population of Paulo Afonso, Bahia, Brazil, between 2000 and 2015. Method descriptive study with all new cases of leprosy reported at the Notifiable Diseases Information System. Sociodemographic and clinical variables were used and annual detection coefficients were calculated. Population estimates were obtained from the Brazilian Institute of Geography and Statistics. Results most of the 1,069 new reported cases were female (57.2%), living in the urban area (92%), brown race/color (66.92%), elementary school (67.6%), over fifteen years of age (92.5%), tuberculoid clinical form (48.26%), paucibacillary (62.3%), degree of physical disability at diagnosis (45.93%) and cure (29.75%). Conclusion the epidemiological profile of leprosy in Paulo Afonso is similar to the national one, with variations in leprosy detection coefficients between years and spatial analysis showing heterogeneous distribution, with a higher concentration of cases in peripheral neighborhoods.

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          Socioeconomic determinants of leprosy new case detection in the 100 Million Brazilian Cohort: a population-based linkage study

          Summary Background Although leprosy is recognised as a disease of poverty, there is little evidence on the specific socioeconomic factors associated with disease risk. To inform targeted strategies for disease elimination, we investigated socioeconomic markers of leprosy risk in Brazil. Methods Socioeconomic data from the 100 Million Brazilian Cohort were linked to the Brazilian national disease registry (Sistema de Informação de Agravos de Notificação) for leprosy from Jan 1, 2007, to Dec 31, 2014. Using Poisson regression, we assessed the association of socioeconomic factors with risk of incident leprosy in the full cohort and in children (aged 0–15 years), by leprosy subtype and region of residence. Findings In an analysis of 23 899 942 individuals including 18 518 patients with leprosy, increased levels of deprivation were associated with an increased risk of leprosy in Brazil. Directions of effect were consistent in children younger than 15 years and across disease subtypes. Individuals residing in regions with the highest poverty in the country (central-west, north, and northeast regions) had a risk of leprosy incidence five-to-eight times greater than did other individuals. Decreased levels of income and education and factors reflecting unfavourable living conditions were associated with an up to two-times increase in leprosy incidence (incidence rate ratio 1·46, 95% CI 1·32–1·62, for lowest vs highest quartile of income per capita; 2·09, 95% CI 1·62–2·72, for lowest vs highest level of education). Interpretation Within the poorest half of the Brazilian population, the most deprived individuals have the greatest risk of leprosy. Strategies focusing on early detection and treatment in the poorest populations could contribute substantially to global disease control. Funding Medical Research Council, Wellcome Trust, Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (Brazil), the Conselho Nacional das Fundações Estaduais de Amparo à Pesquisa, Economic and Social Research Council, Biotechnology and Biological Sciences Research Council, Conselho Nacional de Desenvolvimento Científico e Tecnológico, and Fundação de Apoio à Pesquisa do Distrito Federal.
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            Spatial clustering and local risk of leprosy in São Paulo, Brazil

            Background Although the detection rate is decreasing, the proportion of new cases with WHO grade 2 disability (G2D) is increasing, creating concern among policy makers and the Brazilian government. This study aimed to identify spatial clustering of leprosy and classify high-risk areas in a major leprosy cluster using the SatScan method. Methods Data were obtained including all leprosy cases diagnosed between January 2006 and December 2013. In addition to the clinical variable, information was also gathered regarding the G2D of the patient at diagnosis and after treatment. The Scan Spatial statistic test, developed by Kulldorff e Nagarwalla, was used to identify spatial clustering and to measure the local risk (Relative Risk—RR) of leprosy. Maps considering these risks and their confidence intervals were constructed. Results A total of 434 cases were identified, including 188 (43.31%) borderline leprosy and 101 (23.28%) lepromatous leprosy cases. There was a predominance of males, with ages ranging from 15 to 59 years, and 51 patients (11.75%) presented G2D. Two significant spatial clusters and three significant spatial-temporal clusters were also observed. The main spatial cluster (p = 0.000) contained 90 census tracts, a population of approximately 58,438 inhabitants, detection rate of 22.6 cases per 100,000 people and RR of approximately 3.41 (95%CI = 2.721–4.267). Regarding the spatial-temporal clusters, two clusters were observed, with RR ranging between 24.35 (95%CI = 11.133–52.984) and 15.24 (95%CI = 10.114–22.919). Conclusion These findings could contribute to improvements in policies and programming, aiming for the eradication of leprosy in Brazil. The Spatial Scan statistic test was found to be an interesting resource for health managers and healthcare professionals to map the vulnerability of areas in terms of leprosy transmission risk and areas of underreporting.
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              Spatial patterns of leprosy in a hyperendemic state in Northern Brazil, 2001-2012

              ABSTRACT OBJECTIVE To describe the spatial patterns of leprosy in the Brazilian state of Tocantins. METHODS This study was based on morbidity data obtained from the Sistema de Informações de Agravos de Notificação (SINAN – Brazilian Notifiable Diseases Information System), of the Ministry of Health. All new leprosy cases in individuals residing in the state of Tocantins, between 2001 and 2012, were included. In addition to the description of general disease indicators, a descriptive spatial analysis, empirical Bayesian analysis and spatial dependence analysis were performed by means of global and local Moran’s indexes. RESULTS A total of 14,542 new cases were recorded during the period under study. Based on the annual case detection rate, 77.0% of the municipalities were classified as hyperendemic (> 40 cases/100,000 inhabitants). Regarding the annual case detection rate in < 15 years-olds, 65.4% of the municipalities were hyperendemic (10.0 to 19.9 cases/100,000 inhabitants); 26.6% had a detection rate of grade 2 disability cases between 5.0 and 9.9 cases/100,000 inhabitants. There was a geographical overlap of clusters of municipalities with high detection rates in hyperendemic areas. Clusters with high disease risk (global Moran’s index: 0.51; p < 0.001), ongoing transmission (0.47; p < 0.001) and late diagnosis (0.44; p < 0.001) were identified mainly in the central-north and southwestern regions of Tocantins. CONCLUSIONS We identified high-risk clusters for transmission and late diagnosis of leprosy in the Brazilian state of Tocantins. Surveillance and control measures should be prioritized in these high-risk municipalities.
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                Author and article information

                Journal
                rbaen
                Revista Baiana de Enfermagem
                Rev. baiana enferm.
                Universidade Federal da Bahia (Salvador, BA, Brazil )
                0102-5430
                2178-8650
                2021
                : 35
                : e37805
                Affiliations
                [3] Paulo Afonso Bahia orgnameUniversidade Federal do Vale do São Francisco Brazil
                [7] Salvador Bahia orgnameUniversidade Federal da Bahia Brazil
                [4] Paulo Afonso Bahia orgnameUniversidade Federal do Vale do São Francisco Brazil
                [6] Salvador Bahia orgnameUniversidade Federal da Bahia Brazil marcio.natividade@ 123456outlook.com.
                [5] Feira de Santana Bahia orgnameUniversidade Estadual de Feira de Santana Brazil
                [2] Paulo Afonso Bahia orgnameUniversidade Federal do Vale do São Francisco Brazil
                [1] Paulo Afonso Bahia orgnameUniversidade Federal do Vale do São Francisco Brazil
                Article
                S2178-86502021000100302 S2178-8650(21)03500000302
                10.18471/rbe.v35.37805
                fcdb88c0-5881-40b5-a254-7607875c7390

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

                History
                : 09 July 2020
                : 20 August 2020
                Page count
                Figures: 0, Tables: 0, Equations: 0, References: 28, Pages: 0
                Product

                SciELO Revista de Enfermagem

                Categories
                Artigos Originais

                Análise Espacial,Lepra,Communicable Diseases,Epidemiología descriptiva,Public Health,Epidemiologia Descritiva,Hanseníase,Leprosy,Descriptive Epidemiology,Spatial Analysis,Doenças Transmissíveis,Saúde Pública,Análisis espacial,Enfermedades transmisibles,Salud Pública

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