RESUMO Este estudo descreve aspectos epidemiológicos da Síndrome Inflamatória Multissistêmica Pediátrica (SIM-P) associada à Covid-19 e óbitos por Covid-19 em crianças (0-9 anos de idade) e adolescentes (10-19 anos de idade). As fontes de dados, de 2020-2021, foram os Sistemas de Vigilância Epidemiológica para SIM-P e de Informação sobre Mortalidade para Covid-19, gerenciados pelo Ministério da Saúde. Foram notificados 1.503 casos, mais frequentes em crianças (77%) do que em adolescentes (23%); e 93 óbitos por SIM-P em 26 das 27 Unidades da Federação. O maior número de casos em crianças foi notificado em São Paulo (268), contudo, a maior incidência ocorreu no Distrito Federal (7,8/100 mil habitantes). A proporção de óbitos por SIM-P foi 5,4% em crianças e 8,7% em adolescentes. No período avaliado, houve 2.329 óbitos por Covid-19 em menores de 20 anos de idade, com maior taxa em adolescentes (4,4/100 mil habitantes) do que em crianças (2,7/100 mil habitantes), com maiores taxas em Roraima. Recomenda-se intensificação da imunização contra Covid-19 nessa população, aumentando a proteção contra os efeitos negativos dessa doença e da SIM-P, que podem apresentar consequências em curto, médio e/ou longo prazo, de modo a não comprometer a inserção plena destes cidadãos na sociedade.

ABSTRACT This study describes epidemiological aspects of the Multisystemic Inflammatory Syndrome in Children (MIS-C) associated with COVID-19 and mortality by COVID-19 in children (0-9 years old) and adolescents (10-19 years old). The data sources, for 2020-2021, were the Epidemiological Surveillance System for MIS-C and Mortality Information System for COVID-19, both managed by the Ministry of Health. There were 1,503 cases, more frequent in children (77%) than in adolescents (23%), and 93 reported deaths due to MIS-C in 26 of the 27 States of the Country. The highest number of cases in children was reported in São Paulo (268), but the highest incidence took place in the Federal District (7.8 per 100,000 inhabitants). The rate of deaths due to MIS-C was 5.4% in children and 8.7% in adolescents. There were 2,329 deaths due to COVID-19 in the population under 20 years old, with a higher rate in adolescents (4.4 per 100,000 inhabitants) than in children (2.7); the highest rate occurred in Roraima. We recommend intensifying immunization against COVID-19 in such population, increasing protection against the negative effects of COVID-19 and MIS-C, which may have short, medium and/or long-term consequences, so as not to compromise the full integration of these citizens into society.

RESUMO Este estudo descreve aspectos epidemiológicos da Síndrome Inflamatória Multissistêmica Pediátrica (SIM-P) associada à Covid-19 e óbitos por Covid-19 em crianças (0-9 anos de idade) e adolescentes (10-19 anos de idade). As fontes de dados, de 2020-2021, foram os Sistemas de Vigilância Epidemiológica para SIM-P e de Informação sobre Mortalidade para Covid-19, gerenciados pelo Ministério da Saúde. Foram notificados 1.503 casos, mais frequentes em crianças (77%) do que em adolescentes (23%); e 93 óbitos por SIM-P em 26 das 27 Unidades da Federação. O maior número de casos em crianças foi notificado em São Paulo (268), contudo, a maior incidência ocorreu no Distrito Federal (7,8/100 mil habitantes). A proporção de óbitos por SIM-P foi 5,4% em crianças e 8,7% em adolescentes. No período avaliado, houve 2.329 óbitos por Covid-19 em menores de 20 anos de idade, com maior taxa em adolescentes (4,4/100 mil habitantes) do que em crianças (2,7/100 mil habitantes), com maiores taxas em Roraima. Recomenda-se intensificação da imunização contra Covid-19 nessa população, aumentando a proteção contra os efeitos negativos dessa doença e da SIM-P, que podem apresentar consequências em curto, médio e/ou longo prazo, de modo a não comprometer a inserção plena destes cidadãos na sociedade.

ABSTRACT This study describes epidemiological aspects of the Multisystemic Inflammatory Syndrome in Children (MIS-C) associated with COVID-19 and mortality by COVID-19 in children (0-9 years old) and adolescents (10-19 years old). The data sources, for 2020-2021, were the Epidemiological Surveillance System for MIS-C and Mortality Information System for COVID-19, both managed by the Ministry of Health. There were 1,503 cases, more frequent in children (77%) than in adolescents (23%), and 93 reported deaths due to MIS-C in 26 of the 27 States of the Country. The highest number of cases in children was reported in São Paulo (268), but the highest incidence took place in the Federal District (7.8 per 100,000 inhabitants). The rate of deaths due to MIS-C was 5.4% in children and 8.7% in adolescents. There were 2,329 deaths due to COVID-19 in the population under 20 years old, with a higher rate in adolescents (4.4 per 100,000 inhabitants) than in children (2.7); the highest rate occurred in Roraima. We recommend intensifying immunization against COVID-19 in such population, increasing protection against the negative effects of COVID-19 and MIS-C, which may have short, medium and/or long-term consequences, so as not to compromise the full integration of these citizens into society.

The aim of this study is to support health management, with recent and reliable information, during the COVID-19 pandemic.  Notified and confirmed cases and deaths by COVID-19 were evaluated from three public databases. 1)  Data from the Coronavirus Panel of the Ministry of Health, updated daily, show the existence of two epidemic waves. 2)  The Civil Registry Transparency Portal, also with recent data, points to high mortality rates of COVID-19, especially in older age groups. 3)  The cases, reported by the Information System of the Epidemiological Surveillance of Influenza (Sivep-gripe), confirmed mainly by laboratory test, show predominance of men, high age groups, white race/color, residence in urban areas, presence of comorbidities, higher occurrence of hospitalization and lower use of intensive care unit. This last database, in addition to the first wave, records only the first eight epidemiological weeks of the second wave.  The vertiginous rate of increase in cases and deaths in the second wave points to the need for more drastic measures of social distancing, in addition to the expansion of vaccination against COVID-19. The combination of the three banks expands information that can support timely decision-making.

O objetivo deste estudo é apoiar a gestão em saúde, com informações recentes e confiáveis, durante a pandemia de COVID-19. Casos notificados e confirmados e óbitos por COVID-19 foram avaliados a partir de três bancos de dados públicos.1) Dados do Painel Coronavírus do Ministério da Saúde, atualizados diariamente, mostram a existência de duas ondas epidêmicas. 2) O Portal da Transparência do Registro Civil, também com dados recentes, aponta altas taxas de mortalidade do COVID-19, especialmente nas faixas etárias mais velhas. 3) Os casos notificados pelo Sistema de Informação da Vigilância Epidemiológica da Influenza (Sivep-gripe), confirmados principalmente por exame laboratorial, mostram predominância de homens, faixas etárias elevadas, raça/cor branca, residência em áreas urbanas, presença de comorbidades, maior ocorrência de internação e menor uso de unidade de terapia intensiva. Esta última base de dados, além da primeira onda, registra apenas as primeiras oito semanas epidemiológicas da segunda onda. A vertiginosa taxa de aumento de casos e óbitos na segunda onda aponta para a necessidade de medidas mais drásticas de distanciamento social, além da expansão da vacinação contra o COVID-19. A combinação dos três bancos expande as informações, que podem apoiar a tomada de decisões em tempo oportuno.

The purpose of this article is to compare the evolution of COVID-19 in Manaus and Fortaleza, two epicenters of the pandemic in 2020, analyzing legal measures by local governments and levels of social isolation. An algorithm was defined to calculate the Homestay Index (HSI), using data from the Google Mobility Report. The Decree's timeline, the HSI evolution, the incidence of COVID-19 and the number of deaths from March/2020 to January/2021 were analyzed. The population of Fortaleza was exposed to more consistent measures of social distance, than those of Manaus. Longer homestay was observed from March to May 2020 and Fortaleza achieved higher and more lasting levels. As of June 2020, the HSI fell, notably in Manaus, reaching levels below zero in late December. As an aggravating factor, the government decreed ample isolation in Manaus on December 23/2020, but after protests, it repeals it on December 26/2020. A Judicial Decision determines the complete closure in Manaus on January 02/2021, but it was too late: SUS collapses with an exponential increase in deaths. In Fortaleza, the demand for health services is high, but under control. We consider that only the strict application of non-pharmacological measures and mass immunization can prevent further deaths.

O objetivo desse artigo é comparar o comportamento do COVID-19 em Manaus e Fortaleza, dois epicentros da pandemia em 2020, analisando medidas legais dos governos locais e níveis de isolamento social. Definiu-se um algoritmo para calcular o Índice de Permanência Domiciliar (IPD), com dados do Google Mobility Report. Analisou-se a linha do tempo dos Decretos, a evolução do IPD, da incidência de COVID-19 e do número de óbitos de março / 2020 a janeiro / 2021. A população de Fortaleza esteve exposta a medidas de distanciamento social mais consistentes que as de Manaus. Maior permanência domiciliar foi observada de março a maio de 2020 e Fortaleza atingiu níveis mais elevados e duradouros. A partir de junho o IPD caiu, sobretudo em Manaus, atingindo níveis abaixo de zero no final de dezembro. Como agravante, o governo decreta amplo isolamento em Manaus em 23/12/2020, mas após protestos, revoga-o em 26/12/2020. Uma Decisão Judicial determina o fechamento completo em Manaus em 01/02/2021, mas foi tarde demais: o SUS entra em colapso com aumento exponencial dos óbitos. Em Fortaleza a demanda por serviços de saúde está elevada, mas sob controle.

RESUMO Objetivou-se comparar o comportamento da Covid-19 em Manaus e Fortaleza, dois epicentros da pandemia em 2020, analisando medidas legais dos governos locais e níveis de isolamento social. Definiu-se um algoritmo para calcular o Índice de Permanência Domiciliar (IPD), com dados do Google Mobility Report. Analisaram-se a linha do tempo dos decretos, a evolução do IPD, da incidência de Covid-19 e do número de óbitos de março/2020 a janeiro/2021. A população de Fortaleza esteve exposta a medidas de distanciamento social mais consistentes que as de Manaus. Foi observado, de março a maio de 2020, uma maior permanência domiciliar, e Fortaleza atingiu níveis mais elevados e duradouros. A partir de junho, o IPD caiu, sobretudo em Manaus, atingindo níveis abaixo de zero no final de dezembro. Devido a isso, o governo decretou amplo isolamento em Manaus em 23/12/2020, mas após protestos, revogou-o em 26/12/2020. Uma decisão judicial determinava o fechamento completo em Manaus em 02/01/2021, mas foi tarde demais: o SUS entrou em colapso com aumento exponencial dos óbitos. Em Fortaleza, a demanda aos serviços de saúde estava elevada, mas sob controle. Considerou-se que somente a aplicação rigorosa de medidas não farmacológicas e imunização em massa poderiam evitar mais mortes.

ABSTRACT This article aims to compare the evolution of Covid-19 in Manaus and Fortaleza, two epicenters of the pandemic in 2020, analyzing legal measures by local governments and levels of social isolation. An algorithm was defined to calculate the Homestay Index (HSI), using data from the Google Mobility Report. We analyzed the decree’s timeline, the HSI evolution, the Covid-19 incidence and the number of deaths from March/2020 to January/2021. The population of Fortaleza was exposed to more consistent measures of social distancing than that of Manaus. Longer homestay was observed from March to May 2020 and Fortaleza achieved higher and more lasting levels. As of June 2020, the HSI fell, notably in Manaus, reaching levels below zero in late December. As an aggravating factor, the government decreed broad isolation in Manaus on December 23, 2020, but after protests it was repealed on December 26, 2020. A judicial decision determined the complete closure in Manaus on January 2nd 2021, but it was too late: the SUS collapsed with an exponential increase in deaths. In Fortaleza, the demand for health services was high, but under control. We consider that only the strict application of non-pharmacological measures and mass immunization can prevent further deaths.

RESUMO Objetivou-se comparar o comportamento da Covid-19 em Manaus e Fortaleza, dois epicentros da pandemia em 2020, analisando medidas legais dos governos locais e níveis de isolamento social. Definiu-se um algoritmo para calcular o Índice de Permanência Domiciliar (IPD), com dados do Google Mobility Report. Analisaram-se a linha do tempo dos decretos, a evolução do IPD, da incidência de Covid-19 e do número de óbitos de março/2020 a janeiro/2021. A população de Fortaleza esteve exposta a medidas de distanciamento social mais consistentes que as de Manaus. Foi observado, de março a maio de 2020, uma maior permanência domiciliar, e Fortaleza atingiu níveis mais elevados e duradouros. A partir de junho, o IPD caiu, sobretudo em Manaus, atingindo níveis abaixo de zero no final de dezembro. Devido a isso, o governo decretou amplo isolamento em Manaus em 23/12/2020, mas após protestos, revogou-o em 26/12/2020. Uma decisão judicial determinava o fechamento completo em Manaus em 02/01/2021, mas foi tarde demais: o SUS entrou em colapso com aumento exponencial dos óbitos. Em Fortaleza, a demanda aos serviços de saúde estava elevada, mas sob controle. Considerou-se que somente a aplicação rigorosa de medidas não farmacológicas e imunização em massa poderiam evitar mais mortes.

ABSTRACT This article aims to compare the evolution of Covid-19 in Manaus and Fortaleza, two epicenters of the pandemic in 2020, analyzing legal measures by local governments and levels of social isolation. An algorithm was defined to calculate the Homestay Index (HSI), using data from the Google Mobility Report. We analyzed the decree’s timeline, the HSI evolution, the Covid-19 incidence and the number of deaths from March/2020 to January/2021. The population of Fortaleza was exposed to more consistent measures of social distancing than that of Manaus. Longer homestay was observed from March to May 2020 and Fortaleza achieved higher and more lasting levels. As of June 2020, the HSI fell, notably in Manaus, reaching levels below zero in late December. As an aggravating factor, the government decreed broad isolation in Manaus on December 23, 2020, but after protests it was repealed on December 26, 2020. A judicial decision determined the complete closure in Manaus on January 2nd 2021, but it was too late: the SUS collapsed with an exponential increase in deaths. In Fortaleza, the demand for health services was high, but under control. We consider that only the strict application of non-pharmacological measures and mass immunization can prevent further deaths.

The chemistry of natural products has been remarkably growing in the past few decades in Brazil. Aspects related to the isolation and identification of new natural products, as well as their biological activities, have been achieved in different laboratories working on this subject in the country. More recently, the introduction of new molecular biology tools has strongly influenced the research on natural products, mainly those produced by microorganisms, creating new possibilities to assess the chemical diversity of secondary metabolites. This paper describes some ideas on how the research on natural products can have a considerable input from molecular biology in the generation of chemical diversity. We also explore the role of microbial natural products in mediating interspecific interactions and their relevance to ecological studies. Examples of the generation of chemical diversity are highlighted by using genome mining, mutasynthesis, combinatorial biosynthesis, metagenomics, and synthetic biology, while some aspects of microbial ecology are also discussed. The idea to bring up this topic is linked to the remarkable development of molecular biology techniques to generate useful chemicals from different organisms. Here, we focus mainly on microorganisms, even though similar approaches have also been applied to the study of plants and other organisms. Investigations in the frontier of chemistry and biology require interactions between different areas, characterizing the interdisciplinarity of this research field. The necessity of a real integration of chemistry and biology is pivotal to finding correct answers to a number of biological phenomena. The use of molecular biology tools to generate chemical diversity and control biosynthetic pathways is largely explored in the production of important biologically active compounds. Finally, we briefly comment on the Brazilian organization of research in this area, the necessity of new strategies for the graduation programs, and the establishment of networks as a way of organization to overcome some of the problems faced in the area of natural products.

In a moment that amazingly advances are being reached on the development of technologies to obtain high value chemical compounds as polymers, fine chemicals, pharmaceutical industry intermediates and chemical entities, we cannot refuse that a meaningful progress is due to the maturing in knowledge of biological transformations. Biocatalysis and biotransformations are being widespread applied to generate processes and products with incredible success. In this review article we present the main contributions of biotechnology and biological catalytic processes to Chemistry, the most important evolution steps on enzymatic transformations, how it has being applied and which are the perspectives to academic and industrial environments. We also would like to stimulate the community to step out research in biotechnology applicable to chemical and pharmaceutical industries, trying to achieve what we believe to be the ideal layout: integrating chemical transformations, enzymatic conversions and fermentation processes.