Factores asociados a la ocurrencia de tuberculosis y su distribución espacial en una ciudad brasileña, 1991-2010

Se buscó identificar los factores asociados a la incidencia de tuberculosis y a la distribución espacial de la enfermedad en Olinda, Pernambuco, entre 1991 y 2010. Para el estudio de los factores asociados a la enfermedad se aplicó la regresión de Poisson y se utilizó la razón de morbilidad estandarizada para el análisis exploratorio espacial. Si bien se observó una reducción en la incidencia media de tuberculosis en Olinda, la tasa se mantiene alta comparada con la media nacional. El mapeo por quinquenios sugiere aumentos hasta 2005, con una caída entre 2006 y 2010, además de la persistencia de alta incidencia en áreas con mayores necesidades socioeconómicas. Las mayores incidencias de tuberculosis estuvieron asociadas a la proporción de analfabetos, de jefes de familia sin ingresos, de domicilios sin abastecimiento de agua, de adultos mayores, a la presencia de más de un caso de retratamiento en el sector censal, y a los domicilios con más de un caso nuevo de tuberculosis. Se concluye que es necesario incorporar el componente espacial a la organización de los servicios de salud y la planificación de la vigilancia epidemiológica de la tuberculosis.This article seeks to identify factors associated with the incidence of tuberculosis and the spatial distribution of the disease in Olinda, Pernambuco, from 1991 to 2010. In order to study the factors associated with the disease, Poisson regression was applied and standardized morbidity ratios were utilized for the spatial exploratory analysis. Although a reduction in the average incidence of tuberculosis in Olinda was observed, the rate remains high in comparison with the national average. Mapping according to five-year periods suggests rate increases until 2005, with a decline between 2006 and 2010 and the persistence of high incidence in areas of greater socioeconomic need. The highest tuberculosis incidence rates were associated in each area with the proportions of illiteracy, of heads of household without income, of households lacking water supply and of older adults, as well as with the presence of cases of retreatment and of households with two or more new cases of tuberculosis. Incorporating a spatial component is key for the organization of health services and the planning of epidemiological surveillance for tuberculosis

Factores asociados a la ocurrencia de tuberculosis y su distribución espacial en una ciudad brasileña, 1991-2010

This article seeks to identify factors associated with the incidence of tuberculosis and the spatial distribution of the disease in Olinda, Pernambuco, from 1991 to 2010. In order to study the factors associated with the disease, Poisson regression was applied and standardized morbidity ratios were utilized for the spatial exploratory analysis. Although a reduction in the average incidence of tuberculosis in Olinda was observed, the rate remains high in comparison with the national average. Mapping according to five-year periods suggests rate increases until 2005, with a decline between 2006 and 2010 and the persistence of high incidence in areas of greater socioeconomic need. The highest tuberculosis incidence rates were associated in each area with the proportions of illiteracy, of heads of household without income, of households lacking water supply and of older adults, as well as with the presence of cases of retreatment and of households with two or more new cases of tuberculosis. Incorporating a spatial component is key for the organization of health services and the planning of epidemiological surveillance for tuberculosis.Se buscó identificar los factores asociados a la incidencia de tuberculosis y a la distribución espacial de la enfermedad en Olinda, Pernambuco, entre 1991 y 2010. Para el estudio de los factores asociados a la enfermedad se aplicó la regresión de Poisson y se utilizó la razón de morbilidad estandarizada para el análisis exploratorio espacial. Si bien se observó una reducción en la incidencia media de tuberculosis en Olinda, la tasa se mantiene alta comparada con la media nacional. El mapeo por quinquenios sugiere aumentos hasta 2005, con una caída entre 2006 y 2010, además de la persistencia de alta incidencia en áreas con mayores necesidades socioeconómicas. Las mayores incidencias de tuberculosis estuvieron asociadas a la proporción de analfabetos, de jefes de familia sin ingresos, de domicilios sin abastecimiento de agua, de adultos mayores, a la presencia de más de un caso de retratamiento en el sector censal, y a los domicilios con más de un caso nuevo de tuberculosis. Se concluye que es necesario incorporar el componente espacial a la organización de los servicios de salud y la planificación de la vigilancia epidemiológica de la tuberculosis

Estudo espacial da mortalidade por acidentes de motocicleta em Pernambuco

OBJETIVO: Analizar la distribución espacial de la mortalidad por accidentes de motocicleta en el estado de Pernambuco, Noreste de Brasil. MÉTODOS: Estudio ecológico de base poblacional, usando los datos de mortalidad por accidentes de motocicletas ocurridos de 01/01/2000 a 31/12/2005. Las unidades de análisis fueron municipios. Para el análisis de la distribución espacial de los óbitos fueron construidos coeficientes promedios de mortalidad, teniendo como numerador los óbitos por accidentes de motocicletas registrados en el Sistema de Informaciones sobre Mortalidad, y como denominador, la población del centro del período. Se utilizaron técnicas de análisis espacial, suavización del coeficiente por el método bayesiano empírico local y el diagrama de dispersión de Moran, aplicados sobre la base cartográfica digital del estado. RESULTADOS: El coeficiente promedio de mortalidad por accidentes de motocicletas en Pernambuco fue de 3,47/100 mil habitantes. De los 185 municipios, 16 formaban parte de cinco conglomerados identificados con coeficientes de mortalidad que variaron de 5,66 a 11,66/100 mil habitantes, considerados áreas críticas. Tres de dichas áreas se localizan en la región de desarrollo sertón y dos en la agreste. CONCLUSIONES: El riego de morir por accidente de motocicleta es mayor en las áreas de conglomerado en regiones fuera del eje metropolitano, sugiriendo medidas de intervención que consideren el contexto desarrollo económico, social y cultural.OBJETIVO: Analisar a distribuição espacial da mortalidade por acidentes de motocicleta no estado de Pernambuco. MÉTODOS: Estudo ecológico de base populacional, usando os dados de mortalidade por acidentes de motocicletas ocorridos de 01/01/2000 a 31/12/2005. As unidades de análise foram municípios. Para a análise da distribuição espacial dos óbitos foram construídos coeficientes médios de mortalidade, tendo como numerador os óbitos por acidentes de motocicletas registrados no Sistema de Informações sobre Mortalidade e, como denominador, a população do centro do período. Utilizaram-se técnicas de análise espacial, suavização do coeficiente pelo método bayesiano empírico local e o diagrama de espalhamento de Moran, aplicados sobre a base cartográfica digital do estado. RESULTADOS: O coeficiente médio de mortalidade por acidentes de motocicletas em Pernambuco foi de 3,47/100 mil habitantes. Dos 185 municípios, 16 faziam parte de cinco conglomerados identificados com coeficientes de mortalidade que variaram de 5,66 a 11,66/100 mil habitantes, considerados áreas críticas. Três dessas áreas localizam-se na região de desenvolvimento sertão e duas no agreste. CONCLUSÕES: O risco de morrer por acidente de motocicleta é maior nas áreas de conglomerado em regiões fora do eixo metropolitano, sugerindo medidas de intervenção que considerem o contexto de desenvolvimento econômico, social e cultural.OBJECTIVE: To analyze the spatial distribution of mortality due to motorcycle accidents in the state of Pernambuco, Northeastern Brazil. METHODS: A population-based ecological study using data on mortality in motorcycle accidents from 01/01/2000 to 31/12/2005. The analysis units were the municipalities. For the spatial distribution analysis, an average mortality rate was calculated, using deaths from motorcycle accidents recorded in the Mortality Information System as the numerator, and as the denominator the population of the mid-period. Spatial analysis techniques, mortality smoothing coefficient estimate by the local empirical Bayesian method and Moran scatterplot, applied to the digital cartographic base of Pernambuco were used. RESULTS: The average mortality rate for motorcycle accidents in Pernambuco was 3.47 per 100 thousand inhabitants. Of the 185 municipalities, 16 were part of five clusters identified with average mortality rates ranging from 5.66 to 11.66 per 100 thousand inhabitants, and were considered critical areas. Three clusters are located in the area known as sertão and two in the agreste of the state. CONCLUSIONS: The risk of dying from a motorcycle accident is greater in conglomerate areas outside the metropolitan axis, and intervention measures should consider the economic, social and cultural contexts

COMPLETUDE DOS REGISTROS DE ÓBITOS POR COVID-19 NO RECIFE, PERNAMBUCO, 2020-2021

O objetivo desse estudo foi descrever a incompletude dos registros de óbitos por covid-19 no Recife, Pernambuco, 2020 e 2021.Trata-se de um estudo descritivo e exploratório, sobre a incompletude dos óbitos por covid-19 registrados no Sistema de Informações sobre Mortalidade (SIM). A incompletude das variáveis sexo, faixa etária, raça/cor da pele, escolaridade, situação conjugal e local do óbito foi descrita a partir das frequências absoluta e relativa e dos escores excelente (<5%); bom (5 a 9,9%); regular (10 a 19,9%); ruim (20 a 49,9%) e muito ruim (≥50%). Foram registrados 32.104 óbitos no SIM, sendo 7.194 (22,4%) causados por doenças infecciosas e parasitárias e dentre os pertencentes a esse capítulo CID-10, 5.983 (83,2%) foram por covid-19. Todas as variáveis foram classificadas como excelente, exceto a escolaridade, que passou de regular (13,8%) em 2020 para bom (7,1%) em 2021 com variação de 47,2%. A situação conjugal obteve melhora na incompletude, passando de bom (5,0%) para excelente (1,0%), com taxa de variação de 80,5%. As variáveis sexo, faixa etária e local do óbito apresentaram 100% de preenchimento. A maioria das variáveis apresentou completude excelente, o que evidencia a qualidade dos registros de morte por covid-19, bem como a sua manutenção no contexto de dificuldades vivenciadas na pandemia. PALABRAS-CHAVE: Covid-19. Estatísticas Vitais. Sistemas de Informação em Saúde. Vigilância Epidemiológica

Microcephaly epidemic related to the Zika virus and living conditions in Recife, Northeast Brazil.

BACKGROUND: Starting in August 2015, there was an increase in the number of cases of neonatal microcephaly in Northeast Brazil. These findings were identified as being an epidemic of microcephaly related to Zika virus (ZIKV) infection. The present study aims to analyse the spatial distribution of microcephaly cases in Recife (2015-2016), which is in Northeast Brazil, and its association with the living conditions in this city. METHODS: This was an ecological study that used data from reported cases of microcephaly from the State Health Department of Pernambuco (August 2015 to July 2016). The basic spatial unit of analysis was the 94 districts of Recife. The case definition of microcephaly was: neonates with a head circumference of less than the cut-off point of -2 standard deviations below the mean value from the established Fenton growth curve. As an indicator of the living conditions of the 94 districts, the percentage of heads of households with an income of less than twice the minimum wage was calculated. The districts were classified into four homogeneous strata using the K-means clustering algorithm. We plotted the locations of each microcephaly case over a layer of living conditions. RESULTS: During the study period, 347 microcephaly cases were reported, of which 142 (40.9%) fulfilled the definition of a microcephaly case. Stratification of the 94 districts resulted in the identification of four strata. The highest stratum in relation to the living conditions presented the lowest prevalence rate of microcephaly, and the overall difference between this rate and the rates of the other strata was statistically significant. The results of the Kruskal-Wallis test demonstrated that there was a strong association between a higher prevalence of microcephaly and poor living conditions. After the first 6 months of the study period, there were no microcephaly cases recorded within the population living in the richest socio-economic strata. CONCLUSION: This study showed that those residing in areas with precarious living conditions had a higher prevalence of microcephaly compared with populations with better living conditions

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear un derstanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5–7 vast areas of the tropics remain understudied.8–11 In the American tropics, Amazonia stands out as the world’s most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepre sented in biodiversity databases.13–15 To worsen this situation, human-induced modifications16,17 may elim inate pieces of the Amazon’s biodiversity puzzle before we can use them to understand how ecological com munities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple or ganism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region’s vulnerability to environmental change. 15%–18% of the most ne glected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lostinfo:eu-repo/semantics/publishedVersio