46 resultados para Epidemiologia : Estatística e dados numéricos


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Literature has demonstrated to the narrow relation between deleterious habits and the occurrence of malocclusion in minors of 5 years. The existence of these habits, however, already considered as risk factors, having also, its determinative ones, which present cultural dimensions and economic social, many of them related to the parents of the child, having in account that such habits if develop in phases in which the child establish a narrow relation of dependence. This study it had an objective to investigate the prevalence of deleterious buccal habits in children and its relation with the economic social and characteristics of the parents. It was developed an epidemiologist study of transversal character with interview, through daily pay-tested form, with 218 parents in the day of the National Campaign of Vaccination. In the cast of the variable that had composed the study, they had been used, as changeable dependents, the use of the baby's bottle, bottle and the digital suction, being considered as outcomes of the research. Amongst the independent variable, the economic social factors (type of occupation, number of children, civil state, sort, schooling and age) and staffs of the parents (self perception in oral health) had entered as the variable to be analyzed in the problems of the infantile odontology. The collected data had been submitted to the analysis descriptive and inferential statistics, being used the test qui-square and the analysis of the possibility reasons. As main results, it was found that breast feeding before the six months if presents as one of the main factors of risk for the use of baby's bottle (p< 0.001, OR= 2.8, I.C= 1.589 4.906), bottle (p< 0.001, OR= 3.7, I.C.= 2.076 6.624) and digital suction (p< 0.014, OR= 3.5, I.C.= 1.225 10.181). From the data found, one concludes that breast-feeding is considered a primordial factor for not the installation of deleterious oral habits and that the economic social and cultural factors can reflect in central way in the performance of this act

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The epidemiology of temporomandibular disorders varies widely in the literature. The aim of this study was to determine the prevalence of TMD in dental students of the Federal University of Rio Grande do Norte assessed by different indexes. The sample consisted of 101 individuals selected by a randomized process, whose general outline was systematic sampling. For evaluation of the signs and symptoms of TMD, an anamnestic index, Fonseca s protocol, and two clinical indexes, the RDC/TMD (Research Diagnostic Criteria for Temporomandibular Disorders), or standard index, and the Helkimo s Clinical Dysfunction Index were applied. Data were analyzed using the chi-square test and kappa, besides verifying the sensitivity and specificity (5% significance). The diagnosis of TMD by different indexes showed a variation in the prevalence between 72.3% (Helkimo s Clinical index), 64.4% (Fonseca s anamnestic index) and 35.6% (RDC/TMD). There was no statistical difference between the sexes for the RDC/TMD, although this difference was found for Fonseca s and Helkimo s indexes (p<0.05). The most frequent type of TMD were joint disorders (Groups II and III), and the subtypes disc displacement with reduction (17.8%) and arthralgia (15.8%). Most individuals showed a mild TMD (45.5%) for both indexes, Fonseca and Helkimo. When comparing the types of diagnoses, RDC/TMD with Fonseca and Helkimo, low agreement was found (k=0.17 and k= 0.35, respectively). A moderate correlation between the severity of TMD was obtained (kw= 0.53) for Fonseca s protocol and Helkimo s index. High sensitivity and low specificity were seen for both diagnoses compared to standard, resulting in excessive false positives. Within the limitations of the study, it was concluded that the prevalence of TMD can vary widely, depending on the index used for its diagnosis

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

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Data Visualization is widely used to facilitate the comprehension of information and find relationships between data. One of the most widely used techniques for multivariate data (4 or more variables) visualization is the 2D scatterplot. This technique associates each data item to a visual mark in the following way: two variables are mapped to Cartesian coordinates so that a visual mark can be placed on the Cartesian plane; the others variables are mapped gradually to visual properties of the mark, such as size, color, shape, among others. As the number of variables to be visualized increases, the amount of visual properties associated to the mark increases as well. As a result, the complexity of the final visualization is higher. However, increasing the complexity of the visualization does not necessarily implies a better visualization and, sometimes, it provides an inverse situation, producing a visually polluted and confusing visualization—this problem is called visual properties overload. This work aims to investigate whether it is possible to work around the overload of the visual channel and improve insight about multivariate data visualized through a modification in the 2D scatterplot technique. In this modification, we map the variables from data items to multisensoriy marks. These marks are composed not only by visual properties, but haptic properties, such as vibration, viscosity and elastic resistance, as well. We believed that this approach could ease the insight process, through the transposition of properties from the visual channel to the haptic channel. The hypothesis was verified through experiments, in which we have analyzed (a) the accuracy of the answers; (b) response time; and (c) the grade of personal satisfaction with the proposed approach. However, the hypothesis was not validated. The results suggest that there is an equivalence between the investigated visual and haptic properties in all analyzed aspects, though in strictly numeric terms the multisensory visualization achieved better results in response time and personal satisfaction.

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Intense precipitation events (IPE) have been causing great social and economic losses in the affected regions. In the Amazon, these events can have serious impacts, primarily for populations living on the margins of its countless rivers, because when water levels are elevated, floods and/or inundations are generally observed. Thus, the main objective of this research is to study IPE, through Extreme Value Theory (EVT), to estimate return periods of these events and identify regions of the Brazilian Amazon where IPE have the largest values. The study was performed using daily rainfall data of the hydrometeorological network managed by the National Water Agency (Agência Nacional de Água) and the Meteorological Data Bank for Education and Research (Banco de Dados Meteorológicos para Ensino e Pesquisa) of the National Institute of Meteorology (Instituto Nacional de Meteorologia), covering the period 1983-2012. First, homogeneous rainfall regions were determined through cluster analysis, using the hierarchical agglomerative Ward method. Then synthetic series to represent the homogeneous regions were created. Next EVT, was applied in these series, through Generalized Extreme Value (GEV) and the Generalized Pareto Distribution (GPD). The goodness of fit of these distributions were evaluated by the application of the Kolmogorov-Smirnov test, which compares the cumulated empirical distributions with the theoretical ones. Finally, the composition technique was used to characterize the prevailing atmospheric patterns for the occurrence of IPE. The results suggest that the Brazilian Amazon has six pluvial homogeneous regions. It is expected more severe IPE to occur in the south and in the Amazon coast. More intense rainfall events are expected during the rainy or transitions seasons of each sub-region, with total daily precipitation of 146.1, 143.1 and 109.4 mm (GEV) and 201.6, 209.5 and 152.4 mm (GPD), at least once year, in the south, in the coast and in the northwest of the Brazilian Amazon, respectively. For the south Amazonia, the composition analysis revealed that IPE are associated with the configuration and formation of the South Atlantic Convergence Zone. Along the coast, intense precipitation events are associated with mesoscale systems, such Squall Lines. In Northwest Amazonia IPE are apparently associated with the Intertropical Convergence Zone and/or local convection.

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O crescimento demográfico de idosos é um fenômeno mundial e exerce influência sobre o desenvolvimento e funcionamento das sociedades. Fatores sociais, econômicos, ambientais, biológicos e culturais influenciam o processo de envelhecimento, que pode vir acompanhado de contínua perda na capacidade de adaptação do indivíduo ao meio ambiente, de maior vulnerabilidade ao estresse, limitações funcionais e diminuição da qualidade de vida do indivíduo. Todavia, ao longo do curso da vida, o indivíduo vivencia múltiplas exposições adversas à saúde, e o declínio da mobilidade surge como um dos primeiros sinais do envelhecimento, repercutindo na saúde física e mental do indivíduo. Para contribuir com o conhecimento sobre os desfechos relacionados ao envelhecimento e mobilidade, o estudo IMIAS investiga idosos em quatro países com diferentes perfis epidemiológicos. O presente estudo abordou os possíveis fatores associados ao declínio físico em idosos de distintas sociedades, sobre a perspectiva epidemiológica do curso da vida e dos biomarcadores da inflamação e do estresse. Objetivos: 1) Analisar as relações entre as adversidades sociais e econômicas, vivenciadas durante a infância, a fase adulta e a velhice, com o baixo desempenho físico em populações idosas, de diferentes contextos sociais, econômicos e culturais. 2) Verificar a associação entre os níveis elevados da proteína c-reativa (PCR) com o desempenho físico em idosos de diferentes populações. 3) Avaliar se a desregulação nos níveis de cortisol diurno exerce influência sobre o desempenho físico em idosos com distintos perfis epidemiológicos. Métodos: Foram utilizados dados da linha de base do IMIAS – Estudo Internacional de Mobilidade no Envelhecimento, composto por 1.995 indivíduos entre 65 e 74 anos de idade, residentes em comunidades de quatro países (Albânia, Brasil, Canadá, Colômbia). O desempenho físico foi avaliado através do Short Physical Performance Battery (SPPB) e da força de preensão manual. As adversidades durante o curso da vida foram estimadas a partir de eventos e exposições sociais, econômicas e culturais ocorridas durante a infância, fase adulta e velhice. Para avaliar o percurso biológico e suas associações com a mobilidade, a proteína c-reativa e o cortisol foram considerados como biomarcadores da inflamação e do estresse, respectivamente. No sentido de responder as questões de investigações, foram conduzidas análises de estatística descritiva, bivariada e multivariada, mediante técnicas de distribuição de frequências, teste qui-quadrado, odds ratio e regressões logística, linear e multinível. Resultados: O desempenho físico foi menor nos participantes que vivem na Colômbia, Brasil e Albânia do que nos que vivem no Canadá, mesmo quando ajustados por idade, sexo e adversidades durante o curso da vida. O baixo nível de desempenho físico (SPPB < 8) foi associado a ter sofrido adversidade social e econômica na infância, ter tido ocupação semiqualificada na fase adulta, morar sozinho e possuir renda insuficiente na velhice. A PCR esteve associada com a baixa força de preensão manual e com o SPPB<8. Entretanto, a associação entre a PCR e a força de preensão manual não se manteve quando ajustada por fatores socioeconômicos e hábitos de saúde. As associações negativas entre SPPB e PCR permaneceram significativas mesmo após ajustes por idade, sexo, escolaridade, local de pesquisa e condições de saúde. O baixo desempenho físico (SPPB ≤ 8) foi associado com uma significativa diminuição nos níveis de cortisol ao acordar, em comparação com os níveis de cortisol de idosos com bom desempenho físico (SPPB > 8), mesmo após modelos controlados por local de estudo, sexo, depressão, hábitos de saúde, uso de psicotrópicos e índice de massa corporal. Conclusões: Os resultados evidenciaram associação entre a inflamação, o estresse e as desigualdades sociais e econômicas na infância, sobre o desempenho físico de idosos com diferenciados perfis epidemiológicos. Enfatizamos que a promoção do envelhecimento saudável requer considerar políticas e práticas que favoreçam o bem-estar econômico e social para crianças, adultos e idosos.

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Introduction. Guillain-Barré syndrome (GBS) is an immune-mediated polyneuropathy and the principal cause of acute neuromuscular paralysis. The most prominent GBS subtypes are: acute inflammatory demyelinating polyneuropathy (AIDP), acute motor axonal neuropathy (AMAN), acute motor-sensory axonal neuropathy (AMSAN) and Fisher syndrome (FS). Differences in geographical distribution of variants have been reported. In Brazil, there are few studies describing the characteristics of GBS, but none on the frequency of GBS variants and their clinical manifestations. Infection-induced aberrant immune response resulting from molecular mimicry and formation of cross-reacting antibodies, contribute to complement activation. Functional biallelic polymorphism in immunoglobulin receptors that influence the affinity of IgG subclasses and the type of immune response have been described, suggesting genetic susceptibility to developing disease. It remains unclear whether individuals carrying different FCGR alleles have differential risk for GBS and⁄or disease severity. The goals of this study were: (1) To characterize GBS and describe the clinical findings in a cohort of patients with GBS from the state of Rio Grande do Norte, Brazil; (2) to determine whether polymorphism in FCGR were associated with development of GBS, and (3) to tease out whether the global gene expression studies could be a tool to identify pathways and transcriptional networks which could be regulated and decrease the time of disease. Methods. Clinical and laboratory data for 149 cases of GBS diagnosed from 1994 to 2013 were analyzed. Genomic DNA and total RNA were extracted from whole blood. Antigangliosides antibodies were determined in the sera. In addition, we also assessed whether FCGR polymorphism are present in GBS (n=141) and blood donors (n=364), and global gene expressions were determined for 12 participants with GBS. Blood samples were collected at the diagnosis and post-recovery. Results. AIDP was the most frequent variant (81.8%) of GBS, followed by AMAN (14.7%) and AMSAN (3.3%). The incidence of GBS was 0.3 ⁄ 100,000 people for the state of Rio Grande do Norte and cases occurred at a younger age. GBS was preceded by infections, with the axonal variant associated with episodes of diarrhea (P = 0.025). Proximal weakness was more frequent in AIDP, and distal weakness predominant in the axonal variant. Compared to 42.4% of cases with AIDP (P<0.0001), 84.6% of cases with the axonal variant had nadir in <10 days. Individuals with the axonal variant took longer to recover deambulation (P<0.0001). The mortality of GBS was 5.3%. A worse outcome was related to an axonal variant (OR17.063; P=0.03) and time required to improve one point in the Hughes functional scale (OR 1.028; P=0.03). The FCGR genotypes and allele frequencies did not differ significantly between the patients with GBS and the controls (FCGR2A p=0.367 and FCGR3A p=0.2430). Global gene expression using RNAseq showed variation in transcript coding for protein isoforms during acute phase of disease. Conclusions. The annual incidence of GBS was 0.3 per 100,00 and there was no seasonal pattern. A predominance of the AIDP variant was seen, and the incidence of the disease decreased with age. The distribution of weakness is a function of the clinical variants, and individuals with the axonal variant had a poorer prognosis. Early diagnosis and variant identification leads to proper intervention decreasing in long-term morbidity. FCGR polymorphisms do not seem to influence susceptibility to GBS in this population. This study found deregulated genes and signs of transcriptional network alterations during the acute and recovery phases in GBS. Identification of pathways altered during disease might be target for immune regulation and with potential to ameliorate symptoms.

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The research aimed to construct and validate a data collection instrument of pregnant couple as part of primary care. It was considered hypothesis that level of agreement from 70% among participants to validate the expert panel. The document has been based on the Theory of Human Needs by Horta and adjusted by Garcia and Cubas. It is a study of methodological type developed in four stages: identification of empirical indicators to pregnant women through an integrative literature review; evaluation of empirical indicators and their relation to human needs by focus group; structuring of the second version of instrument by categorization of indicators and appearance and content validation of the third version of instrument by judges, by use of Delphi technique. The collection of data was the first stage in months from August to October 2014 in the Journal of Midwifery and Women's Health and Scopus, PubMed, Lilacs, CINAHL, Cochrane databases. The remaining steps were carried out from November 2014 to February 2015. For the focus group was counted with participation of six experts through two meetings. As for the judges, it was obtained a population of 63 and final sample of 51 judges divided into 46 basic health units of Municipal City Health Natal/RN, Brazil. The study was approved by the Research Ethics Committee of Universidade Federal do Rio Grande do Norte, under Protocol number 876.200. For data analysis of the first stage it was used descriptive statistics and results are presented in tables and charts. At that stage were identified 162 empirical indicators and, when they were related to human needs, 64 by them were on psycobiological, 97 on psychosocial and one (1) on psychospiritual needs. Regarding the second and third stages, data were treated by process of categorizing and analyzing the Content Validity Index. The indicators obtained a 100% validation index. In appearance and content validation phase of instrument non-validated items were excluded and other items obtained index above 70%. Furthermore, it obtained 99% content validity index in the second version and 95.7% in the third version of the instrument as a whole and, therefore, validated tool. This instrument contains Health Institution, pregnant woman and her partner identification data, information on the human needs of the pregnant and items pertaining to systematize the collection of pregnant couple data during prenatal care. By the conclusion of the study, nurse shall have an instrument to collect the data of pregnant couple in primary care innovative by considering psychobiological, psychosocial and psychospiritual pregnant needs and insert health and sociodemographic data of pregnant partner in the context of pregnancy. Also, the document will serve as a tool for teaching and research in obstetrical nursing.

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The public health dentistry is a way to bring oral health to Brazilian National Health System (SUS) and vice-versa. Thus, the epidemiology, in this context, it is one of the most important allies. In this article we intend to discuss the "shared walkway" between epidemiology and public health dentistry, through two views: first, we analyzed the efforts to establish methodological models for oral health sectional studies and the possibilities to construct a national data base. Second, we discussed how this knowledge has been transformed in a qualified scientific production presented in meetings and papers, which reflects, at the same time, about the contribution of this process in the consolidation of public health dentistry field. We concluded that this "shared walkway" was (and still is), influenced by political aspects, which, in different moments, leads to an improvement of public health dentistry. The oral health epidemiology has been established as a knowledge area, with regard to the scientific production in Brazil. At the same time, provide a tool that contributes to make oral health care models more appropriate to National Health System principles and, in other hand, make better the discussions about the social determinants of oral diseases.

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The public health dentistry is a way to bring oral health to Brazilian National Health System (SUS) and vice-versa. Thus, the epidemiology, in this context, it is one of the most important allies. In this article we intend to discuss the "shared walkway" between epidemiology and public health dentistry, through two views: first, we analyzed the efforts to establish methodological models for oral health sectional studies and the possibilities to construct a national data base. Second, we discussed how this knowledge has been transformed in a qualified scientific production presented in meetings and papers, which reflects, at the same time, about the contribution of this process in the consolidation of public health dentistry field. We concluded that this "shared walkway" was (and still is), influenced by political aspects, which, in different moments, leads to an improvement of public health dentistry. The oral health epidemiology has been established as a knowledge area, with regard to the scientific production in Brazil. At the same time, provide a tool that contributes to make oral health care models more appropriate to National Health System principles and, in other hand, make better the discussions about the social determinants of oral diseases.

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The classifier support vector machine is used in several problems in various areas of knowledge. Basically the method used in this classier is to end the hyperplane that maximizes the distance between the groups, to increase the generalization of the classifier. In this work, we treated some problems of binary classification of data obtained by electroencephalography (EEG) and electromyography (EMG) using Support Vector Machine with some complementary techniques, such as: Principal Component Analysis to identify the active regions of the brain, the periodogram method which is obtained by Fourier analysis to help discriminate between groups and Simple Moving Average to eliminate some of the existing noise in the data. It was developed two functions in the software R, for the realization of training tasks and classification. Also, it was proposed two weights systems and a summarized measure to help on deciding in classification of groups. The application of these techniques, weights and the summarized measure in the classier, showed quite satisfactory results, where the best results were an average rate of 95.31% to visual stimuli data, 100% of correct classification for epilepsy data and rates of 91.22% and 96.89% to object motion data for two subjects.

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Survival models deals with the modelling of time to event data. In certain situations, a share of the population can no longer be subjected to the event occurrence. In this context, the cure fraction models emerged. Among the models that incorporate a fraction of cured one of the most known is the promotion time model. In the present study we discuss hypothesis testing in the promotion time model with Weibull distribution for the failure times of susceptible individuals. Hypothesis testing in this model may be performed based on likelihood ratio, gradient, score or Wald statistics. The critical values are obtained from asymptotic approximations, which may result in size distortions in nite sample sizes. This study proposes bootstrap corrections to the aforementioned tests and Bartlett bootstrap to the likelihood ratio statistic in Weibull promotion time model. Using Monte Carlo simulations we compared the nite sample performances of the proposed corrections in contrast with the usual tests. The numerical evidence favors the proposed corrected tests. At the end of the work an empirical application is presented.

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This research aimed to analyse the effect of different territorial divisions in the random fluctuation of socio-economic indicators related to social determinants of health. This is an ecological study resulting from a combination of statistical methods including individuated and aggregate data analysis, using five databases derived from the database of the Brazilian demographic census 2010: overall results of the sample by weighting area. These data were grouped into the following levels: households; weighting areas; cities; Immediate Urban Associated Regions and Intermediate Urban Associated Regions. A theoretical model related to social determinants of health was used, with the dependent variable Household with death and as independent variables: Black race; Income; Childcare and school no attendance; Illiteracy; and Low schooling. The data was analysed in a model related to social determinants of health, using Poisson regression in individual basis, multilevel Poisson regression and multiple linear regression in light of the theoretical framework of the area. It was identified a greater proportion of households with deaths among those with at least one black resident, lower-income, illiterate, who do not attend or attended school or day-care and less educated. The analysis of the adjusted model showed that most adjusted prevalence ratio was related to Income, where there is a risk value of 1.33 for households with at least one resident with lower average personal income to R$ 655,00 (Brazilian current). The multilevel analysis demonstrated that there was a context effect when the variables were subjected to the effects of areas, insofar as the random effects were significant for all models and with different prevalence rates being higher in the areas with smaller dimensions - Weighting areas with coefficient of 0.035 and Cities with coefficient of 0.024. The ecological analyses have shown that the variable Income and Low schooling presented explanatory potential for the outcome on all models, having income greater power to determine the household deaths, especially in models related to Immediate Urban Associated Regions with a standardized coefficient of -0.616 and regions intermediate urban associated regions with a standardized coefficient of -0.618. It was concluded that there was a context effect on the random fluctuation of the socioeconomic indicators related to social determinants of health. This effect was explained by the characteristics of territorial divisions and individuals who live or work there. Context effects were better identified in the areas with smaller dimensions, which are more favourable to explain phenomena related to social determinants of health, especially in studies of societies marked by social inequalities. The composition effects were better identified in the Regions of Urban Articulation, shaped through mechanisms similar to the phenomenon under study.

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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