BackgroundDengue epidemics have occurred in the city of Rio de Janeiro (Brazil) since 1986. In the year 2015, Zika and chikungunya viruses were introduced in the city, causing sequential and simultaneous epidemics. Poor socioeconomic conditions have been suggested as contributing factors of arboviral infection.ObjectiveTo describe the spatial distribution of human cases of symptomatic arboviral infections and to identify risk factors for infection in a poor community of Rio de Janeiro in the years 2015 and 2016.MethodsWe built thematic maps of incidence rates for 78 micro-areas in the Manguinhos neighborhood. The micro-areas congregate about 600 inhabitants. Simple and multiple multilevel logistic regression models were used to evaluate the association between the incidence of arboviral diseases and socio-demographic factors at both the individual and micro-area levels.ResultsFrom 2015 to 2016, 370 human cases of arbovirus infection were reported in the Manguinhos community: 123 in 2015 and 247 in 2016. There was a significant difference in the risk of arbovirus diseases among different micro-areas, but this was not explained by water and sanitation indicators. The cumulative incidence rate was 849/100,000 in two years. The incidence was greater in those individuals with familiar vulnerability (1,156/100,000 vs. 794/100,000). The multilevel adjusted model showed that the odds of acquiring an arbovirus infection was 55% greater in those with familiar vulnerability.ConclusionArbovirus infections cause a high burden of disease in Brazilian urban centers. Our results suggest that even in poor neighborhoods, there is a high spatial variability in the risk of acquiring an arbovirus infection. The conditions that favor vector proliferation and infection by arboviruses are complex and involve both individual and environmental characteristics that vary from place to place. To reduce the burden of arboviral diseases, continued public health policies and basic services should be provided to the communities at risk that consider specific local needs.
O objetivo do artigo é apresentar os resultados do estudo de avaliabilidade do Sistema de Informação da Atenção à Saúde Indígena (SIASI) e suas implicações para a gestão em saúde no nível local. O estudo foi desenvolvido com base nas seguintes etapas: descrição da intervenção, descrição dos usuários potenciais e análise de contexto (interno e externo). Para tanto, adotaram-se as seguintes técnicas de coleta de dados: análise documental, entrevistas com informantes-chave e oficina de trabalho. A modelização do SIASI no Distrito Sanitário Especial Indígena (DSEI) Alto Rio Solimões (Amazonas) e no DSEI Leste Roraima (Roraima) possibilitou a visualização esquemática do modo de funcionamento do sistema, considerando-se as peculiaridades do fluxo de informação descentralizado e centralizado. A análise de contexto aponta para o reconhecimento do SIASI como ferramenta para a organização do processo de trabalho das equipes multidisciplinares de saúde indígena (EMSI) e o acompanhamento da situação de saúde, ainda que ocorra baixa utilização das informações nos territórios. Entre os desafios, persistem os problemas de infraestrutura e a fragmentação das informações, provocando aumento do retrabalho na alimentação dos dados. Como potencialidade, destaca-se a criação do Painel SIASI Local, que gera relatórios dinâmicos e interativos sobre a situação de saúde. Conclui-se que a capacidade de utilização do SIASI como ferramenta de apoio à gestão pelo nível local pode ser potencializada com a ampliação do processo de descentralização do fluxo de informações.
The COVID-19 pandemic has highlighted the deep inequalities of Brazilian society to address this health-related catastrophe. This study aimed to understand the repercussions of COVID-19 on Brazilian Indigenous peoples and how they organize in the context of social inequalities and vulnerabilities. Qualitative research was conducted based on the analysis of ‘lives’. The search was performed on YouTube using descriptors “coronavirus and Indigenous” and “COVID and Indigenous population”, totaling 56 live events, which allowed us to analyze different perspectives on the fight against the pandemic showing that the starting point for COVID-19 prevention, surveillance, health care, and communication among Indigenous peoples is different from the rest of the population. The leading role of the Indigenous civil society is highly relevant to the fight against the pandemic. The profound inequality and the multiple vulnerabilities of Indigenous peoples are realities that must be understood to overcome the enormous challenges produced not only by COVID-19 and, fundamentally, the current context of invisibility, ignorance, and attack on Brazilian Indigenous societies. Social control has been weakened, and its strengthening is urgent to create a differentiated health model that considers these people’s interests and ways of life.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.