Flávio Fonseca Nobre

Universidade Federal do Rio de Janeiro

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Letícia Martins Raposo

Universidade Federal do Estado do Rio de Janeiro

Rodrigo Brindeiro

Universidade Federal do Rio de Janeiro

Mônica Arruda

Fundação Oswaldo Cruz

Pauline Lorena Kale

Universidade Federal do Rio de Janeiro

Renan Moritz Varnier Rodrigues de Almeida

Universidade Federal do Rio de Janeiro

Rajesh Pahwa

University of Kansas Medical Center

André T. J. Alves

Fundação Oswaldo Cruz

Jurandir Nadal

Universidade Federal do Rio de Janeiro

Marília Sá Carvalho

Fundação Oswaldo Cruz

Marcelo Ribeiro-Alves

Fundação Oswaldo Cruz

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Universidade Federal do Rio de Janeiro

Fundação Oswaldo Cruz

Escola Nacional de Saúde Pública

Universidade de São Paulo

Universidade do Estado do Rio de Janeiro

Ministério da Saúde

Universidade Federal Fluminense

University of Kansas Medical Center

Instituto Nacional do Câncer

Ministério da Saúde

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Perfil de risco: método multivariado de classificação sócio-econômica de microáreas urbanas - os setores censitários da região metropolitana do Rio de Janeiro

Cadernos de Saúde Pública (1997)

Marília Sá Carvalho Oswaldo Gonçalves Cruz Flávio Fonseca Nobre

A method based on small area data analysis was developed to build a health risk classification for the Greater Rio de Janeiro Metropolitan Area. The approach uses 1991 census data and studies data pertaining to sanitation, ownership and type of housing, size and occupancy of the household, demography, schooling, and income. Principal component analysis applied over each dimension allowed for the choice of 15 variables, which summarized most of the observed variances. Additional analysis with these variables suggested that just six variables are sufficient for the construction of a classification using k-means method of multivariate cluster analysis. Five classes were obtained: (A) high income; (B) lower income; (C) poor; (D) low schooling and income; (E) low-level access to sanitation. The existing inequality in each of the geopolitical established areas was clearly identified. The proposed method allowed for the construction of compound indices to evaluate quality of life, based on widespread and easily obtained data (the census). Moreover, the method contributed to the detection of socioeconomic inequality, identifying, not only the larger poor regions but also the small excluded areas.

10.1590/s0102-311x1997000400007

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Citations (31)

The Path Analysis Approach for the Multivariate Analysis of Infant Mortality Data

Annals of Epidemiology (1998)

Ana Glória Godoi Vasconcelos Renan Moritz Varnier Rodrigues de Almeida Flávio Fonseca Nobre

Spurious relationship

Goodness of fit

10.1016/s1047-2797(97)00213-5

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Antihypertensive Agents Have Different Ability to Modulate Arterial Pressure and Heart Rate Variability in 2K1C Rats

American Journal of Hypertension (2006)

Flávio Fonseca Nobre C.A. da-Silva Eduardo Barbosa Coelho Hélio Cesar Salgado R FAZANJR

We examined the effect of chronic (15 days) administration of antihypertensive agents, from different pharmacologic classes, on arterial pressure (AP) and heart rate variability in two-kidney, one-clip hypertensive (2K1C) rats. The 2K1C rats received by gavage one of the following: water, ramipril, losartan, atenolol, amlodipine, or hydrochlorothiazide. Sham-operated normotensive rats received water. After 15 days of treatment AP was continuously sampled from an indwelling catheter in awake rats during a 2-h period and systolic AP and pulse interval (PI) were submitted to autoregressive spectral analysis with oscillatory components quantified in low (LF: 0.25 to 0.75 Hz) and high (HF: 0.75 to 3.0 Hz) frequency bands. The AP measured by tail-cuff was 170 +/- 2 mm Hg in 2K1C and 131 +/- 3 mm Hg in normotensive rats. Pooled data indicated that all antihypertensive agents reduced the AP of 2K1C rats to 127 +/- 2 mm Hg, whereas 2K1C rats treated with water remained hypertensive (206 +/- 11 mm Hg). Variance of systolic AP was found increased in 2K1C rats treated with water (34 +/- 2 mm Hg2), whereas 2K1C rats treated with ramipril, atenolol, amlodipine, or hydrochlorothiazide presented AP variance similar to normotensive rats (16 +/- 2 mm Hg2). Losartan normalized AP of 2K1C rats but variance of systolic AP remained increased (34 +/- 7 mm Hg2). The 2K1C rats treated with water had increased LF of systolic AP, whereas 2K1C rats treated with losartan showed higher LF of systolic AP and PI. Atenolol presented lower LF and higher HF of PI. In conclusion, losartan normalized AP but did not reduce AP variability, suggesting an autonomic imbalance characterized by higher sympathetic modulation of the cardiovascular system.

Atenolol

Ramipril

Amlodipine

Candesartan

Pulse pressure

10.1016/j.amjhyper.2006.02.011

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Drug Resistance Mutation Profile and Accumulation Kinetics in Human Immunodeficiency Virus-Positive Individuals Infected with Subtypes B and F Failing Highly Active Antiretroviral Therapy Are Influenced by Different Viral Codon Usage Patterns

Antimicrobial Agents and Chemotherapy (2008)

A. Waléria-Aleixo Angélica N. Martins Mônica Arruda Rodrigo Brindeiro R DASILVA

ABSTRACT The major human immunodeficiency virus type 1 subtype circulating in Brazil is B, followed by F and C. We have genotyped 882 samples from Brazilian patients for whom highly active antiretroviral therapy failed, and we found subtype B and the unique recombinant B/F1 forms circulating. Due to codon usage variation, there is a significantly lower incidence of the substitutions L210W, Q151M, and F116Y in subtype F1 isolates than in the subtype B counterparts.

Resistance mutation

10.1128/aac.00820-08

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Forecasting epidemiological time series with backpropagation neural networks

C. Bustamante-Sa Flávio Fonseca Nobre

In public health, surveillance is an important issue. To account for the dynamics of diseases in the population, time series methodologies have been used to provide forecasts of future behaviors. Here, we evaluated the use of backpropagation trained multilayer feedforward networks to forecast epidemiological time series. Sixteen different models within this paradigm, differing basically in input layers and training set presentation, were tested and discussed. Six of them produced fair forecasts for the hepatitis B case occurrence in the US time series.

Backpropagation

Feedforward neural network

10.1109/mwscas.1995.510351

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Metagenomic Insights of the Microbial Community from a Polluted River in Brazil 2020

Lecture notes in computer science (2021)

Carolina O. P. Gil Larissa Macedo Pinto Flávio Fonseca Nobre Cristiane Thompson Fabiano L. Thompson

Betaproteobacteria

Diversity index

10.1007/978-3-030-91814-9_14

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Random-Effects Models in Investigating the Effect of Vitamin A in Childhood Diarrhea

Annals of Epidemiology (2005)

V. Andreozzi Thomas Bailey Flávio Fonseca Nobre Cláudio J. Struchiner Maurício L. Barreto

Longitudinal Study

10.1016/j.annepidem.2005.08.007

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Logistic Regression Models for Predicting Resistance to HIV Protease Inhibitor Nelfinavir

IFMBE proceedings (2013)

Letícia Martins Raposo Mônica Arruda Rodrigo Brindeiro Flávio Fonseca Nobre

Nelfinavir

Protease inhibitor (pharmacology)

10.1007/978-3-319-00846-2_306

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Determinantes da detecção de atipias celulares no programa de rastreamento do câncer do colo do útero no Rio de Janeiro, Brasil

DOAJ (DOAJ: Directory of Open Access Journals) (2013)

Mariá Gonçalves Pereira da Silva Liz Maria de Almeida Ediane Assis Bastos Flávio Fonseca Nobre

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Padrão temporal das internações e óbitos por diarréia em crianças, 1995 a 1998, Rio de Janeiro

Revista de Saúde Pública (2004)

Pauline Lorena Kale Cristiano Fernandes Flávio Fonseca Nobre

OBJETIVO: Analisar o padrão temporal dos óbitos e internações, no período de 1995 a 1998, associadas à diarréia em crianças menores de cinco anos de idade para subsidiar ações específicas de prevenção e controle dessa doença. MÉTODOS: Os dados foram obtidos do Sistema de Informações sobre Mortalidade (SIM) e Sistema de Internações Hospitalares (SIH) do Ministério da Saúde. As séries mensais de internações e de óbitos por diarréia foram decompostas em componentes de tendência linear estocástica, sazonalidade determinística e irregularidades mediante a aplicação dos modelos estruturais para análise de séries temporais. RESULTADOS: Os níveis de ambas as séries apresentaram mudanças ao longo do tempo, com declínio mais perceptível na série de internações. A variação das taxas de inclinação foi constante para cada uma das séries, em média, a menos 5,3 internações por mês (p-valor <0,001) e menos um óbito por mês (p-valor <0,1), respectivamente. Na análise dos resíduos do modelo de internações, observou-se mudança no nível da tendência em janeiro de 1996. O componente sazonal de ambos os modelos foi estatisticamente significante (p-valor <0,0001), sendo maio e junho os meses com maior excesso de internações e óbitos. Os pressupostos de normalidade e de independência temporal dos resíduos não puderam ser rejeitados ao nível de 0,05. CONCLUSÕES: Os resultados sugerem a predominância da etiologia viral das diarréias moderadas e graves. Neste caso, a vacinação específica é a medida mais eficaz na prevenção e controle, sendo necessários estudos de eficácia de novas candidatas à vacina contra o rotavírus no Brasil.

Christian ministry

10.1590/s0034-89102004000100005

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Citations (17)