Suchergebnisse

The extreme right hate speech propagated currently in Brazil addresses a broad social spectrum, from feminist movements to traditional communities. The academic community and higher education institutions are also targets, as they are identified as poles of democratic resistance. Specific hate speech towards academy in Brazil is the subject of this paper. The persecution of academic community and knowledge itself occurs through the discursive dispute especially on social networks, and thus in this analytical exercise, we looked up at Facebook's largest bolsonarista's group – the "Jair Bolsonaro Presidency Support Group", which brings together 317,000 members. We analyzed the memetic discourse on the page, focusing memes that were published between April and June 2019, thematizing higher public education, and presenting a bimodal verb-visual composition. These criteria led to the collection of 115 memes analyzed with the support of a QDA package. Analysis reveals the disqualification of university institutions and their actors through ironies, negative associations including stereotypes, simplification of debate to the shallower. Students are often associated with nudity as immorality, professors of indoctrination and ridicule, protesters of ignorance, or bad character. Political debate is reduced to extreme left-right polarization, with the criminalization of the left.

The extreme right hate speech propagated currently in Brazil addresses a broad social spectrum, from feminist movements to traditional communities. The academic community and higher education institutions are also targets, as they are identified as poles of democratic resistance. Specific hate speech towards academy in Brazil is the subject of this paper. The persecution of academic community and knowledge itself occurs through the discursive dispute especially on social networks, and thus in this analytical exercise, we looked up at Facebook's largest bolsonarista's group - the "Jair Bolsonaro Presidency Support Group", which brings together 317,000 members. We analyzed the memetic discourse on the page, focusing memes that were published between April and June 2019, thematizing higher public education, and presenting a bimodal verb-visual composition. These criteria led to the collection of 115 memes analyzed with the support of a QDA package. Analysis reveals the disqualification of university institutions and their actors through ironies, negative associations including stereotypes, simplification of debate to the shallower. Students are often associated with nudity as immorality, professors of indoctrination and ridicule, protesters of ignorance, or bad character. Political debate is reduced to extreme left-right polarization, with the criminalization of the left.

Considering the growing number of cases requiring emergency care as a result of SARS-CoV-2 in the Brazilian State of Rio de Janeiro, this study focuses on mapping the health infrastructure of the municipalities of the state, comparing the Structure Efficiency Index (IEE) before (2016) and after the COVID-19 pandemic. The article fills a gap in the academic literature, informing public health policies specialists and technicians, as well as policy and decision-makers, about the capacity of municipalities to face the problem. We calculated the Structure Efficiency Index (IEE) of the states' 92 municipalities and positioned them on the pandemic curve. It was possible to verify that the government of the State of Rio de Janeiro needs to start acting to suppress COVID-19, maintaining the policy of providing more hospital beds, and purchasing equipment. However, it is also necessary to consider the particularities and deficiencies of each region, as the policy to transfer patients to places with available beds can contribute to the spread of the disease. ; Considerando el número creciente de casos de atención de emergencia procedentes del SARS-CoV-2, en el estado de Río de Janeiro, este estudio se centra en el mapeo de la infraestructura de salud en los municipios de dicho estado, con el fin de informar a los especialistas, técnicos, formuladores y tomadores de decisiones de políticas de salud pública sobre la capacidad de cada localidad para enfrentar el problema. Para esto, calculamos el índice de eficiencia de estructura (IEE) colocando los 92 municipios del estado en la curva de la pandemia. Se pudo verificar que el Gobierno del Estado de Río de Janeiro debe comenzar a actuar para suprimir la COVID-19 manteniendo la política de apertura o reapertura de camas y adquisición de equipos. Sin embargo, también se deben considerar las particularidades y deficiencias de cada región, ya que la política de traslado de pacientes postrados a otras regiones con camas disponibles puede propagar la enfermedad. ; Considerando um número crescente de casos de atendimento de emergência, provenientes do SARS-CoV-2, no Estado do Rio de Janeiro, o presente estudo se concentra no mapeamento da infraestrutura de saúde nos municípios do Estado, comparando o Índice de Eficiência em Estrutura antes (2016) e após a pandemia da COVID-19. O artigo preenche uma lacuna acadêmica ao informar aos especialistas, técnicos, formuladores e tomadores de decisão de políticas públicas de saúde, sobre a capacidade de cada localidade para enfrentar o problema. Para isso, calculamos o Índice de Eficiência da Estrutura (IEE), alocando os 92 municípios do Estado na curva de pandemia. Foi possível verificar que o Governo do Estado do Rio de Janeiro precisa começar a atuar na supressão da COVID-19, mantendo a política de abertura, ou reabertura, de leitos e aquisição de equipamentos. No entanto, também é necessário considerar as particularidades e deficiências de cada região, pois a política de transferência dos acamados para outras regiões com leitos disponíveis pode espalhar a doença.

Abstract Considering the growing number of cases requiring emergency care as a result of SARS-CoV-2 in the Brazilian State of Rio de Janeiro, this study focuses on mapping the health infrastructure of the municipalities of the state, comparing the Structure Efficiency Index (IEE) before (2016) and after the COVID-19 pandemic. The article fills a gap in the academic literature, informing public health policies specialists and technicians, as well as policy and decision-makers, about the capacity of municipalities to face the problem. We calculated the Structure Efficiency Index (IEE) of the states' 92 municipalities and positioned them on the pandemic curve. It was possible to verify that the government of the State of Rio de Janeiro needs to start acting to suppress COVID-19, maintaining the policy of providing more hospital beds, and purchasing equipment. However, it is also necessary to consider the particularities and deficiencies of each region, as the policy to transfer patients to places with available beds can contribute to the spread of the disease.