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1.
Rev. adm. pública (Online) ; 54(4): 578-594, jul.-ago. 2020. tab, graf
Article in English | LILACS | ID: biblio-1136997

ABSTRACT

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.


Resumen 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.


Resumo 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.


Subject(s)
Humans , Male , Female , Public Policy , Health Infrastructure , Health Systems , Coronavirus Infections , Municipal Management , Health Management , Efficiency
2.
Chinese Herbal Medicines ; (4): 97-103, 2020.
Article in Chinese | WPRIM | ID: wpr-842030

ABSTRACT

Since the outbreak of the new coronavirus epidemic, novel coronavirus has infected nearly 100,000 people in more than 110 countries. How to face this new coronavirus epidemic outbreak is an important issue. Basic reproduction number (R0) is an important parameter in epidemiology; The basic reproduction number of an infection can be thought of as the expected number of cases directly generated by one case in a population where all individuals are susceptible to infection. Epidemiology dynamics is a mathematical model based on a susceptibility-infection-recovery epidemic model. Researchers analyzed the epidemiological benefits of different transmission rates for the establishment of effective strategy in prevention and control strategies for epidemic infectious diseases. In this review, the early use of TCM for light and ordinary patients, can rapidly improve symptoms, shorten hospitalization days and reduce severe cases transformed from light and normal. Many TCM formulas and products have wide application in treating infectious and non-infectious diseases. The TCM theoretical system of treating epidemic diseases with TCM and the treatment scheme of integrated Chinese and Western medicine have proved their effectiveness in clinical practice. TCM can cure COVID-19 pneumonia, and also shows that the role of TCM in blocking the progress of COVID-19 pneumonia.

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