46 resultados para Epidemiologia : Estatística e dados numéricos
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Identificar o perfil sociodemográfico de pacientes submetidos à prostatectomia. Método: estudo quantitativo, transversal e descritivo, realizado na clínica cirúrgica de um Hospital Universitário na cidade de Natal/RN/Brasil, com 50 indivíduos em pós-operatório imediato de prostatectomia. A coleta de dados deu-se com um roteiro de anamnese e exame físico. Para a análise estatística dos dados foi utilizado o Programa Statistical Package for the Social Sciences, versão 16.0. O projeto de pesquisa foi aprovado pelo Comitê de Ética da Universidade Federal do Rio Grande do Norte, protocolo nº 130/10 CEP/UFRN. Resultados: os homens entrevistados tinham idade média de 67,78 anos, 80% tinham companheiros, com número de filhos variando de zero a quatro (56%). Conclusão: o conhecimento do perfil sociodemográfico dos pacientes prostatectomizados proporciona um direcionamento das ações de enfermagem frente à realidade de vida dessa clientela, uma vez que os pacientes estudados apresentaram perfil similar ao observado em outras cidades brasileiras
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This research investigates the microclimate and the morphology features of the central campus of the UFRN, in Natal-RN, through the use of bioclimatic tools of analysis in order to assist the implementation of the campus´ Master Plan. It develops a diagnosis of the evolution and growth of the urban space surveyed by analyzing its initial plan and the basic urban conception behind it, as well as the morphology and typologies utilized. The study makes a qualitative analysis of the local microclimate by using Katzschner (1997) methodology, with land-use and topography maps, building heights, vegetation and soil covering. It also makes use of the methodology proposed by Oliveira (1993), which examines, from the bioclimatic standpoint, the human environment as related to the urban form (site and built mass). It identifies zones whose climatic characteristics are representative of the local microclimate and classifies them into areas to be strictly preserved, areas to be protected and areas to be improved. By means of the methodology for spatial and environmental assessment developed by Bustos Romero (2001), the survey selects characteristic points of each area in order to register the environmental data relative to the two basic seasons found in the region where the campus is located, that is, the dry and the rainy season, so that it can evaluate changes in the environment which might have been caused by urban density growth, by arborization or by the influence of the urban form. It then proceeds to a quantitative and statistical survey of the collected data with the purpose of evaluating the degree of influence of the identified features over the environmental variables along the different scales of approach. The study shows the existence of different microclimates and emphasizes the relevance of the bioclimatic analysis of the built environment as a tool for the decision-making process along the development of the Master Plan for UFRN Central Campus
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The Hospital Epidemiology Nucleus (NHE) is a structure that has a specific organizational climate, which influence the level of job satisfaction among professionals working in it. This is a descriptive study with a quantitative approach, aimed to identify the relationship between organizational climate in the NHE regulated in the city of Natal / RN and the job satisfaction among its professionals from the perspective of theoretical issues about Organizational Development. The research was carried out in 13 hospitals with different kinds of sponsorship, 9 public, 3 philanthropic and 1 private. Data were collected using the instrument "organization in hospitals: issues relating to climate and job satisfaction , with 33 professionals appointed and active on NHE. This study obtained an appropriate consent of the Research Ethics Committee of the Hospital of Pediatrics Professor Heriberto Ferreira Bezerra, from the Riograndense Northern League Against Cancer and the Federal University of Rio Grande do Norte. Data collected were organized and treated with simple descriptive statistics. It was observed that from 33 of surveyed people, 93% was female, had an average of 40 years old age, with activity duration between 1 and 2 years (84.9%). Furthermore, 45.5% of industry professionals were nurses. It was identified that professionals working in NHE perceive and experience its work environment as an Organization Structure in construction. It was found that with the exception of the aspects "working life", "socio-cultural" and "organizational culture , the other internal and external factors to the NHE does not have strong expression in the forming of an organizational climate conducive to the development of the sector. It was found that 70% of interviewed perceive the organizational climate as favorable for the industry's progress. Regarding the job level of satisfaction, respondents feel fairly satisfied with the organizational structure. Therefore, the results of this study are suggestive that there is some factor that is greatly contributing to a healthy organizational climate that encourages the industry team members of the NHE present behaviors that identify them as actors committed and satisfied with the work, even face of all obstacles to implementation of epidemiological surveillance. Thus, it is suggested for futures studies to seek to determine how the organizational culture, while significant internal factor, influencing the organizational climate establishment of NHE and therefore the level of job satisfaction and well-being of each members of the team
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When a company desires to invest in a project, it must obtain resources needed to make the investment. The alternatives are using firm s internal resources or obtain external resources through contracts of debt and issuance of shares. Decisions involving the composition of internal resources, debt and shares in the total resources used to finance the activities of a company related to the choice of its capital structure. Although there are studies in the area of finance on the debt determinants of firms, the issue of capital structure is still controversial. This work sought to identify the predominant factors that determine the capital structure of Brazilian share capital, non-financial firms. This work was used a quantitative approach, with application of the statistical technique of multiple linear regression on data in panel. Estimates were made by the method of ordinary least squares with model of fixed effects. About 116 companies were selected to participate in this research. The period considered is from 2003 to 2007. The variables and hypotheses tested in this study were built based on theories of capital structure and in empirical researches. Results indicate that the variables, such as risk, size, and composition of assets and firms growth influence their indebtedness. The profitability variable was not relevant to the composition of indebtedness of the companies analyzed. However, analyzing only the long-term debt, comes to the conclusion that the relevant variables are the size of firms and, especially, the composition of its assets (tangibility).This sense, the smaller the size of the undertaking or the greater the representation of fixed assets in total assets, the greater its propensity to long-term debt. Furthermore, this research could not identify a predominant theory to explain the capital structure of Brazilian
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The main objective of this study is to apply recently developed methods of physical-statistic to time series analysis, particularly in electrical induction s profiles of oil wells data, to study the petrophysical similarity of those wells in a spatial distribution. For this, we used the DFA method in order to know if we can or not use this technique to characterize spatially the fields. After obtain the DFA values for all wells, we applied clustering analysis. To do these tests we used the non-hierarchical method called K-means. Usually based on the Euclidean distance, the K-means consists in dividing the elements of a data matrix N in k groups, so that the similarities among elements belonging to different groups are the smallest possible. In order to test if a dataset generated by the K-means method or randomly generated datasets form spatial patterns, we created the parameter Ω (index of neighborhood). High values of Ω reveals more aggregated data and low values of Ω show scattered data or data without spatial correlation. Thus we concluded that data from the DFA of 54 wells are grouped and can be used to characterize spatial fields. Applying contour level technique we confirm the results obtained by the K-means, confirming that DFA is effective to perform spatial analysis
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Produced water is characterized as one of the most common wastes generated during exploration and production of oil. This work aims to develop methodologies based on comparative statistical processes of hydrogeochemical analysis of production zones in order to minimize types of high-cost interventions to perform identification test fluids - TIF. For the study, 27 samples were collected from five different production zones were measured a total of 50 chemical species. After the chemical analysis was applied the statistical data, using the R Statistical Software, version 2.11.1. Statistical analysis was performed in three steps. In the first stage, the objective was to investigate the behavior of chemical species under study in each area of production through the descriptive graphical analysis. The second step was to identify a function that classify production zones from each sample, using discriminant analysis. In the training stage, the rate of correct classification function of discriminant analysis was 85.19%. The next stage of processing of the data used for Principal Component Analysis, by reducing the number of variables obtained from the linear combination of chemical species, try to improve the discriminant function obtained in the second stage and increase the discrimination power of the data, but the result was not satisfactory. In Profile Analysis curves were obtained for each production area, based on the characteristics of the chemical species present in each zone. With this study it was possible to develop a method using hydrochemistry and statistical analysis that can be used to distinguish the water produced in mature fields of oil, so that it is possible to identify the zone of production that is contributing to the excessive elevation of the water volume.
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In this work we analyze the skin bioimpedance statistical distribution. We focus on the study of two distinct samples: the statistics of impedance of several points in the skin of a single individual and the statistics over a population (many individuals) but in a single skin point. The impedance data was obtained from the literature (Pearson, 2007). Using the Shapiro-Wilk test and the assymmetry test we conclude that the impedance of a population is better described by an assymetric and non-normal distribution. On the other side, the data concerning the individual impedance seems to follow a normal distribution. We have performed a goodnes of fitting test and the better distribution to fit the data of a population is the log-normal distribution. It is interesting to note that our result for skin impedance is in simtony with body impedance from the literature of electrical engeneering. Our results have an impact over the statistical planning and modelling of skin impedance experiments. Special attention we should drive to the treatment of outliers in this kind of dataset. The results of this work are important in the general discussion of low impedance of points of acupuncture and also in the problem of skin biopotentials used in equipments like the Electrodermal Screen Tests.
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Esta tese articulou as áreas do conhecimento da Epidemiologia, Saúde Pública, Demografia e Estatística. Para esta investigação, traçaram-se duas estratégias: por um lado, buscou-se relatar a trajetória dos direitos femininos em saúde no Brasil a partir do período pós-guerra até os dias atuais; por outro lado, objetivou-se analisar diferenciais da morte materna e suas associações com variáveis sociodemográficas das mulheres residentes no estado da Paraíba no período de 2000 a 2004. As explorações decorrentes destes objetivos resultaram na produção de três abordagens. Na primeira, procedeu-se a um olhar retrospectivo sobre as políticas de saúde da mulher no país e seus desdobramentos regionais, enfocando a saúde materna. A análise permitiu reconhecer que, apesar de todas as conquistas adquiridas pelas mulheres desde os anos 80, a população feminina brasileira, em particular a paraibana, ainda carece de melhorias nas condições de saúde, sendo esta situação retratada pelo elevado número de mortes maternas ocorridas nos últimos anos. Também se buscou retratar os esforços dos sistemas oficiais na luta pela melhoria da qualidade dos dados reconhecida, na agenda nacional, como sendo ainda uma grande preocupação atual. Na segunda, o objetivo foi identificar o poder associativo entre a raça das mulheres residentes no estado da Paraíba e algumas variáveis sociodemográficas. Os resultados mostraram que houve indícios significativos de que as mulheres não brancas da Paraíba tiveram maiores chances de morrer que as brancas com baixa escolaridade e por morte obstétrica direta. Na terceira, centrou-se no tipo de óbito materno, cujo objetivo consistiu em analisar associações entre o tipo de óbito materno das mulheres paraibanas e as variáveis: grupo etário, escolaridade e raça, no período de 2000 a 2004. Os testes estatísticos realizados apontaram que a mulher paraibana teve cinco vezes mais chances de morrer por morte obstétrica direta ou indireta na faixa etária abaixo dos 20 anos e acima dos 34 em relação a faixa etária entre 20-34 anos
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This is an exploratory descriptive study with quantitative approach, aiming to verify the nurses' knowledge concerning the epidemiological surveillance activities at the Onofre Lopes hospital (HUOL), in Natal, Rio Grande do Norte. The study was performed with 63 nurses from the hospital and the data were collected through a questionnaire. All data were analyzed using descriptive statistics. The results were discussed and organized into four sections: nurses' knowledge on hospital epidemiological surveillance; procedures of the professional nurse through compulsory notification diseases; difficulties found by nurses to register the compulsory notification diseases and suggestions of strategies to joint epidemiological surveillance service with the care practices of nurses. The results showed that 55.55% of nurses know the main action of epidemiological surveillance, compulsory notification of diseases, and that 42.86% reported to the Hospital Epidemiology Center , while 57.14% did not allocate the information for this service. Most nurses found it difficult to perform notification for not knowing its flow; for the surveillance service does not operate 24 hours and for vagueness on diagnostic of disorders. Suggestions of strategies to improve the quality of epidemiological information are focused on training of nurses in hospital epidemiological surveillance; working in partnership with the surveillance center; diffusion of information on surveillance and conducting a daily active search. It comes to conclusion that most nurses don't notify the Surveillance Center about Compulsory Notification Diseases and it wasn't observed the incorporation of integrality values between the hospital surveillance and all nurses, since this principle guides the actions of health services based on dialogue, listening, ethical commitment, sharing of knowledge among professionals of various services and respect towards other professionals. Therefore, the integrality gap in the actions of the nurses studied, as well as in the surveillance service does not mobilize the potential of such services to changes in the sense of achievement of practices aimed at a special attention model that combines preventive and corrective actions, proposed and desired by SUS. Through the difficulties presented, it becomes important to recommend educational processes with strategy to transform the conducts, besides proposing actions under the principle of integrality provide responses agile and effective, as the purpose of VE hospital emergency care by the current epidemic
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The aim of this study is to analyze the effect of migration on the income differential between northeastern migrants and nonmigrants and there by verify that the immigrants make up a group or not positively selected. The assumption that will be tested is that the presence of these immigrants affects income inequality in the region receptor, which may explain part of the high-stopping inequality in the Brazilian Northeast. The study is based on the literature selectivity migration introduced by Roy (1951), Borjas (1987) and Chiswick (1999). Does the estimated wage equation Mincer (1974) through the method of OLS, using information from the microdata sample of the 2010 Census, the Brazilian Institute of Geography and Statistics (IBGE). The results which correspond to the comparison of socioeconomic profile, showed that immigrants are more qualified and, on average, better paid than non-migrants. With the estimation of the model, it was found that, keeping all other variables constant, the income that immigrants earn is 14.43% higher than that of non-migrants. Thus, there was existence of positive selectivity in migration directed to the Northeast
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Systems whose spectra are fractals or multifractals have received a lot of attention in recent years. The complete understanding of the behavior of many physical properties of these systems is still far from being complete because of the complexity of such systems. Thus, new applications and new methods of study of their spectra have been proposed and consequently a light has been thrown on their properties, enabling a better understanding of these systems. We present in this work initially the basic and necessary theoretical framework regarding the calculation of energy spectrum of elementary excitations in some systems, especially in quasiperiodic ones. Later we show, by using the Schr¨odinger equation in tight-binding approximation, the results for the specific heat of electrons within the statistical mechanics of Boltzmann-Gibbs for one-dimensional quasiperiodic systems, growth by following the Fibonacci and Double Period rules. Structures of this type have already been exploited enough, however the use of non-extensive statistical mechanics proposed by Constantino Tsallis is well suited to systems that have a fractal profile, and therefore our main objective was to apply it to the calculation of thermodynamical quantities, by extending a little more the understanding of the properties of these systems. Accordingly, we calculate, analytical and numerically, the generalized specific heat of electrons in one-dimensional quasiperiodic systems (quasicrystals) generated by the Fibonacci and Double Period sequences. The electronic spectra were obtained by solving the Schr¨odinger equation in the tight-binding approach. Numerical results are presented for the two types of systems with different values of the parameter of nonextensivity q
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Conselho Nacional de Desenvolvimento Científico e Tecnológico
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We presented in this work two methods of estimation for accelerated failure time models with random e_ects to process grouped survival data. The _rst method, which is implemented in software SAS, by NLMIXED procedure, uses an adapted Gauss-Hermite quadrature to determine marginalized likelihood. The second method, implemented in the free software R, is based on the method of penalized likelihood to estimate the parameters of the model. In the _rst case we describe the main theoretical aspects and, in the second, we briey presented the approach adopted with a simulation study to investigate the performance of the method. We realized implement the models using actual data on the time of operation of oil wells from the Potiguar Basin (RN / CE).
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In this work we studied the asymptotic unbiasedness, the strong and the uniform strong consistencies of a class of kernel estimators fn as an estimator of the density function f taking values on a k-dimensional sphere
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In this work we have elaborated a spline-based method of solution of inicial value problems involving ordinary differential equations, with emphasis on linear equations. The method can be seen as an alternative for the traditional solvers such as Runge-Kutta, and avoids root calculations in the linear time invariant case. The method is then applied on a central problem of control theory, namely, the step response problem for linear EDOs with possibly varying coefficients, where root calculations do not apply. We have implemented an efficient algorithm which uses exclusively matrix-vector operations. The working interval (till the settling time) was determined through a calculation of the least stable mode using a modified power method. Several variants of the method have been compared by simulation. For general linear problems with fine grid, the proposed method compares favorably with the Euler method. In the time invariant case, where the alternative is root calculation, we have indications that the proposed method is competitive for equations of sifficiently high order.