Educomunicação e suas áreas de intervenção: Novos paradigmas para o diálogo intercultural

oai:omp.abpeducom.org.br:publicationFormat/1O material aqui divulgado representa, em essência, a contribuição do VII Encontro Brasileiro de Educomunicação ao V Global MIL Week, da UNESCO, ocorrido na ECA/USP, entre 3 e 5 de novembro de 2016. Estamos diante de um conjunto de 104 papers executivos, com uma média de entre 7 e 10 páginas, cada um. Com este rico e abundante material, chegamos ao sétimo e-book publicado pela ABPEducom, em seus seis primeiros anos de existência. A especificidade desta obra é a de trazer as “Áreas de Intervenção” do campo da Educomunicação, colocando-as a serviço de uma meta essencial ao agir educomunicativo: o diálogo intercultural, trabalhado na linha do tema geral do evento internacional: Media and Information Literacy: New Paradigms for Intercultural Dialogue

Search for anomalous couplings in boosted WW/WZ -> l nu q(q)over-bar production in proton-proton collisions at root s=8TeV

Peer reviewe

Rationale, study design, and analysis plan of the Alveolar Recruitment for ARDS Trial (ART): Study protocol for a randomized controlled trial

Background: Acute respiratory distress syndrome (ARDS) is associated with high in-hospital mortality. Alveolar recruitment followed by ventilation at optimal titrated PEEP may reduce ventilator-induced lung injury and improve oxygenation in patients with ARDS, but the effects on mortality and other clinical outcomes remain unknown. This article reports the rationale, study design, and analysis plan of the Alveolar Recruitment for ARDS Trial (ART). Methods/Design: ART is a pragmatic, multicenter, randomized (concealed), controlled trial, which aims to determine if maximum stepwise alveolar recruitment associated with PEEP titration is able to increase 28-day survival in patients with ARDS compared to conventional treatment (ARDSNet strategy). We will enroll adult patients with ARDS of less than 72 h duration. The intervention group will receive an alveolar recruitment maneuver, with stepwise increases of PEEP achieving 45 cmH(2)O and peak pressure of 60 cmH2O, followed by ventilation with optimal PEEP titrated according to the static compliance of the respiratory system. In the control group, mechanical ventilation will follow a conventional protocol (ARDSNet). In both groups, we will use controlled volume mode with low tidal volumes (4 to 6 mL/kg of predicted body weight) and targeting plateau pressure <= 30 cmH2O. The primary outcome is 28-day survival, and the secondary outcomes are: length of ICU stay; length of hospital stay; pneumothorax requiring chest tube during first 7 days; barotrauma during first 7 days; mechanical ventilation-free days from days 1 to 28; ICU, in-hospital, and 6-month survival. ART is an event-guided trial planned to last until 520 events (deaths within 28 days) are observed. These events allow detection of a hazard ratio of 0.75, with 90% power and two-tailed type I error of 5%. All analysis will follow the intention-to-treat principle. Discussion: If the ART strategy with maximum recruitment and PEEP titration improves 28-day survival, this will represent a notable advance to the care of ARDS patients. Conversely, if the ART strategy is similar or inferior to the current evidence-based strategy (ARDSNet), this should also change current practice as many institutions routinely employ recruitment maneuvers and set PEEP levels according to some titration method.Hospital do Coracao (HCor) as part of the Program 'Hospitais de Excelencia a Servico do SUS (PROADI-SUS)'Brazilian Ministry of Healt

Examine the spatial and temporal distribuition of dengue in city Rio de Janeiro

Made available in DSpace on 2011-05-04T12:36:15Z (GMT). No. of bitstreams: 0 Previous issue date: 2009Fundação Oswaldo Cruz. Escola Nacional de Saúde Pública Sergio Arouca. Rio de Janeiro, RJ, Brasil.Este estudo seguiu desenho ecológico analítico e teve por objetivo analisar a distribuição espacial e temporal da dengue no município do Rio de Janeiro, investigando possíveis associações entre a incidência de dengue e os níveis médios de exposição a variáveis ambientais, sócio demográficas e à infestação pelo vetor. A dengue é uma doença reemergente, e constitui hoje a mais importante doença viral humana transmitida por mosquito. No Brasil, o vetor encontrou, desde sua reintrodução em 1976, condições muito favoráveis à sua dispersão, como o acelerado processo de urbanização e de crescimento populacional, aliados à ineficiência dos programas de controle do vetor. Ocorreram sete epidemias de dengue no município do Rio de Janeiro: 1986/1987, 1990/1991, 1995, 1998, 2001/2002, 2006e 2007/2008. Neste estudo, elaborou-se a série temporal e analisou-se a distribuição espacial do agravo no município, no período de 1996 a 2006. O universo amostral foi representado pelos casos de dengue notificados e residentes no município do Rio de Janeiro durante o período citado, dados secundários compilados através do Sistema de Informação de Agravos de Notificação (SINAN). Utilizou-se o indicador taxa de incidência por 100.000 habitantes. Foram exploradas as seguintes variáveis: Índice Pluviométrico, Índice de Breteau (para Aedes aegyptie Aedes albopictus), Índice de Gini, e o indicador sintético IDS (Índice de Desenvolvimento Social). Foram criados mapas temáticos, com a utilização do estimador de intensidade Kernel para alisamento espacial. Foi mensurada a auto correlação espacial da dengue entre bairros vizinhos, por meio dos Índices Global e Local de Moran. Na etapa de modelagem espacial, foram utilizados o modelo linear generalizado de família gaussiana e o modelo espacial global CAR (Conditional Auto Regressive). Foi encontrada auto correlação espacial positiva pelo Moran Global, e identificados alguns clusters através da análise gráfica do Moran Local. O modelo GLM final apresentou associação direta entre a incidência de dengue e: a pluviosidade; o time-lag de um mês para pluviosidade; o Índice de Gini e o IB para Aedes albopictus; e associação inversa com o IB para Aedes aegypti. Foi encontrada ainda associação direta para os meses fevereiro, março, abril e maio; e inversa para outubro e novembro. Nos modelos CAR, realizados para cada mês isoladamente, foram encontradas associações diretas com a pluviosidade nos meses de janeiro, março, maio e junho; com o time-lag de chuva no mês de julho, e com o Índice de Gini no mês de fevereiro.This study is an ecological analysis design, aimed to examine the spatial and temporal distribution of dengue in Rio de Janeiro, in order to investigating possible associations between the incidence of dengue and the average levels of exposure to evironmental nde socio-demographic variables, and infestation by vecto. Dengue is a reemerging disease, ande nowadays is the most important human viral disease transmitted by mosquito. In Brazil, the vector hs found, since its reintroduction in 1976, fvorable conditions to their dispersion, ande the accelerated process of urbanization and population growth combined with the inefficiency of the vector-control programs. There were seven outbreaks of dengue in Rio de Janeiro: 1986/1987, 1990/1991, 1995, 1998, 2001/2002, 2006 and 2007/2008. In this study, was created a time series and was analyzed the spatial distribution of disease in the city, during the period 1996 to 2006. The samples was represented by reported neighborhood. the data was obtained from SINAN (National Surveillance System). We created an indicator of the incidence rate per 100.000 in habitants. The following variables were employed: rain index, Breteau index (for Aedes aegypti and Aedes albopictus), Gini index, ande IDS, synthetic indicator for social developmente. Thematic maps were built, using the Kernel estimator of intensity for spatial smoothing. The spatial autocorrelation of dengue between neighbors was calculated by the global and the locl Morn Index. For modeling, we used the generalized linear model and the spatial model CAR (Conditionl Auto Regressive). It was found positive spatial autocorretion bya Moran Global, and some clusters were identified by graphical analysis of the Local Morn. The final GLM model pointed out direct association between the incidence of dengue and rainfall; the time-lag of a month for rainfall; the Gini index for Aedes aegypt IB. Direct association was observed also for the months February, March, April and May, and inverse association for Octuber and November. CAR spatial models were conducted separately for each month. We found direct association with the rainfall in January, March, May and June; with the time-lag of rainfall in July, and with the Gini index in February

Modelagem espacial da dengue e variáveis socioambientais no Município do Rio de Janeiro, Brasil

Submitted by Regiane Silva ([email protected]) on 2018-10-24T17:32:52Z No. of bitstreams: 1 Spatial modeling of dengue and socio-environmental indicators in the city of Rio de Janeiro, Brazil.pdf: 2127259 bytes, checksum: 5297042131cde17c7aa430415a97fa51 (MD5)Approved for entry into archive by Regiane Silva ([email protected]) on 2018-11-05T16:10:11Z (GMT) No. of bitstreams: 1 Spatial modeling of dengue and socio-environmental indicators in the city of Rio de Janeiro, Brazil.pdf: 2127259 bytes, checksum: 5297042131cde17c7aa430415a97fa51 (MD5)Made available in DSpace on 2018-11-05T16:10:11Z (GMT). No. of bitstreams: 1 Spatial modeling of dengue and socio-environmental indicators in the city of Rio de Janeiro, Brazil.pdf: 2127259 bytes, checksum: 5297042131cde17c7aa430415a97fa51 (MD5) Previous issue date: 2011Fundação Oswaldo Cruz. Escola Nacional de Saúde Pública Sergio Arouca. Rio de Janeiro, RJ, Brasil.Fundação Oswaldo Cruz. Programa de Computação Científica. Rio de Janeiro, RJ, Brasil.Analisaram-se a distribuição espacial da dengue na cidade do Rio de Janeiro, Brasil, em 2006, e associações entre sua incidência por 100 mil habitantes e variáveis socioambientais. Consideraram-se os casos notificados de residentes no município, o índice pluviométrico, o índice de Breteau (para Aedes aegypti e Aedes albopictus), o índice de Gini e o índice de desenvolvimento social. Realizou-se o mapeamento e mensurou-se a autocorrelação espacial dos indicadores pelo índice global de Moran, sendo essa positiva para todas as variáveis. O modelo linear generalizado evidenciou associação direta entre a incidência e chuva; time-lag de um mês para chuva; índice de Gini e índice de Breteau para Aedes albopictus. Através do modelo espacial CAR (conditional autoregressive), encontrou-se associação direta com chuva em quatro meses do ano; time-lag de chuva em julho e índice de Gini em fevereiro. Esses resultados evidenciam a importância de variáveis socioambientais na dinâmica de transmissão da dengue, e sua relevância como subsídios às estratégias de controle.This study analyzed the spatial distribution of dengue in Rio de Janeiro, Brazil, in 2006, and associations between the incidence per 100,000 inhabitants and socio-environmental variables. The study analyzed reported dengue cases among the city's inhabitants, rainfall, Breteau index (for Aedes aegypti and Aedes albopictus), Gini index, and social development index. We conducted mapping and used the global Moran index to measure the indicators' spatial autocorrelation, which was positive for all variables. The generalized linear model showed a direct association between dengue incidence and rainfall, one-month rainfall time lag, Gini index, and Breteau index for A. albopictus. The conditional autoregressive model (CAR) showed a direct association with rainfall for four months of the year, rain time lag in July, and Gini index in February. The results demonstrate the importance of socio-environmental variables in the dynamics of dengue transmission and the relevance for the development of dengue control strategies

Social geography of AIDS in Brazil: identifying patterns of regional inequalities

The trend towards decline and stabilization of the AIDS epidemic in Brazil should be analyzed carefully, since aggregate data can mask regional or local inequalities in such a large and diverse country. The current study reevaluates the epidemic’s spatial dissemination and the AIDS-related mortality pattern in Brazil. The study considered all AIDS cases diagnosed in individuals over 18 years of age and living in Brazil, as well as AIDS deaths recorded in 1998-2008. Three-year moving average rates were estimated, and a spatial analysis was conducted using a local empirical Bayesian method. The epidemic was only found to be expanding in the North and Northeast regions, while declining in the rest of the country, especially in the Southeast. According to the findings, the apparent stabilization of AIDS mortality tends to mask regional disparities. Social determinants of health and regional disparities should be taken into account in program development and policymaking