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In the municipality of Rio de Janeiro, Brazil, the incorporation of the concept of epidemic intelligence and technological resources has supported new perspectives for the use of data by health surveillance, since the COVID-19 pandemic. This article presents the Epidemiological Intelligence Center (CIE) and the tools and products developed in its coordination. The CIE was inaugurated in March 2022, with a multiprofessional team, supported by the premises of transparency and integration of various data sources for early detection of changes in the trends of events of importance in Public Health. The initial acquisition of a data lake favored changes in the consumption, management and security processes for the data processed. This data lake currently stores the Carioca Base - a retrospective cohort of individuals with a history of COVID-19 vaccination and/or events related to the disease. Descriptive and analytical dashboards have been developed and made available, respectively for public use and for health surveillance administrators. An alert panel, aimed at monitoring trends in care in the urgency and emergency network, was implemented and subsidizes rapid response actions in the city's territories. The CIE developed the concept of epidemiological intelligence in the Brazilian Unified National Health System and this paradigm shift was made possible by investments in physical/human resources, the integration of epidemiological, statistical and data science methods, as well as the incorporation of different data sources in data analysis.

No Município do Rio de Janeiro, Brasil, a incorporação do conceito de inteligência epidêmica e de recursos tecnológicos sustentou novas perspectivas para a utilização de dados pela vigilância em saúde, a partir da pandemia de COVID-19. Neste artigo apresenta-se o Centro de Inteligência Epidemiológica (CIE), ferramentas e produtos desenvolvidos na coordenação. O CIE foi inaugurado em março de 2022, com equipe multiprofissional, apoiado nas premissas de transparência e integração de diversas fontes de dados para detecção precoce de mudanças nas tendências de eventos de importância em Saúde Pública. A aquisição inicial de um data lake favoreceu mudanças nos processos de consumo, gerenciamento e segurança para os dados processados. Esse data lake armazena, atualmente, a Base Carioca - uma coorte retrospectiva composta de indivíduos com histórico vacinal para COVID-19 e/ou eventos relacionados à doença. Painéis descritivos e analíticos foram desenvolvidos e disponibilizados, respectivamente, para uso público e para os gestores da vigilância em saúde. Um painel de alertas, voltado ao monitoramento de tendências nos atendimentos da rede de urgência e emergência municipal, foi implantado e subsidiou ações de resposta rápida nos territórios da cidade. O CIE desenvolveu o conceito de inteligência epidemiológica no Sistema Único de Saúde, e essa mudança de paradigma tornou-se possível em função de investimentos em recursos físicos/humanos, integração de métodos epidemiológicos, estatísticos e das ciências de dados, além de incorporação de fontes de dados diferenciadas nas análises de dados.

En el municipio de Río de Janeiro, Brasil, la inclusión del concepto de inteligencia epidémica y de recursos tecnológicos favoreció nuevas perspectivas en el uso de datos por parte de la vigilancia sanitaria desde la pandemia del COVID-19. Este artículo presenta el Centro de Inteligencia Epidemiológica (CIE), las herramientas y los productos desarrollados en coordinación. El CIE se creó en marzo de 2022 con un equipo multidisciplinar bajo las premisas de transparencia e integración de diversas fuentes de datos para la detección temprana de cambios en las tendencias a grandes eventos en Salud Pública. La adquisición inicial de un data lake promovió cambios en los procesos de consumo, gestión y seguridad de los datos procesados. Este data lake almacena actualmente la Base Carioca, una cohorte retrospectiva compuesta por individuos con antecedentes de vacunación contra el COVID-19 y/o eventos relacionados con la enfermedad. Se desarrollaron paneles descriptivos y analíticos, y se los pusieron a disposición, respectivamente, para uso público y para los gerentes de la vigilancia sanitaria. Se implementó un panel de alerta, dirigido a monitorear las tendencias a la asistencia en la red de urgencia y emergencia del municipio, el cual subvenciona acciones de pronta respuesta en los territorios de la ciudad. El CIE desarrolló el concepto de inteligencia epidemiológica en el Sistema Único de Salud, y este cambio de paradigma se hizo posible gracias a las inversiones en recursos físicos/humanos, la integración de métodos epidemiológicos, estadísticos y de ciencia de datos, además de la inclusión de fuentes de datos diferenciadas en el análisis de datos.

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The influenza-like illness (ILI) sentinel surveillance operates in Brazil to identify respiratory viruses of public health relevance circulating in the country and was first implemented in 2000. Recently, the COVID-19 pandemic reinforced the importance of early detection of the circulation of new viruses in Brazil. Therefore, an analysis of the design of the ILI sentinel surveillance is timely. To this end, we simulated a sentinel surveillance network, identifying the municipalities that would be part of the network according to the criteria defined in the design of the ILI sentinel surveillance and, based on data from tested cases of severe acute respiratory illness (SARI) from 2014 to 2019, we drew samples for each sentinel municipality per epidemiological week. The draw was performed 1,000 times, obtaining the median and 95% quantile interval (95%QI) of virus positivity by Federative Unit and epidemiological week. According to the ILI sentinel surveillance design criteria, sentinel units would be in 64 municipalities, distributed mainly in capitals and their metropolitan areas, recommending 690 weekly samples. The design showed good sensitivity (91.65% considering the 95%QI) for qualitatively detecting respiratory viruses, even those with low circulation. However, there was important uncertainty in the quantitative estimate of positivity, reaching at least 20% in 11.34% of estimates. The results presented here aim to assist in evaluating and updating the ILI sentinel surveillance design. Strategies to reduce uncertainty in positivity estimates need to be evaluated, as does the need for greater spatial coverage.

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Preparation and response to Public Health emergencies involve efforts in developing systems for early detection, alert and response. Models for dealing with notification delay and diversification of data sources are some of the commonly used strategies for faster information and action. In this paper, we present the strategy implemented in Rio de Janeiro municipality, where data from urgency and emergency visits were acquired and modeled, in order to detect trend shifts and generate alerts. From the ICD-10 field in electronic records, time series representing events of interest were created. A GAM model was fitted for smoothing, slope determination in each point, and alert generation. The results obtained are displayed in a dashboard, monitored daily. From 2023, multiple events of interest were identified through the dashboard, some of which lead to coordinated communication and actions in the territory. We draw attention to the potentials in the use of these type of data on identifying events of interest in a timely manner, approaching the concepts of a modern surveillance.

A preparação e resposta às emergências em Saúde Pública envolve o investimento em sistemas de detecção precoce, alerta e resposta. Modelos de correção de atraso de notificação e a diversificação de fontes de dados utilizadas são algumas abordagens comumente utilizadas para geração de informação e ação mais oportunos. Neste artigo é apresentada a estratégia implementada no município do Rio de Janeiro de utilização de dados de atendimentos de urgência e emergência unida à aplicação de modelos de detecção de tendências para geração automatizada de alertas. A partir de CIDs marcados nos prontuários eletrônicos de atendimentos, monitoram-se séries temporais de eventos de interesse no município. Um modelo GAM é ajustado às séries para suavização, determinação da inclinação e geração dos alertas. Os resultados são exibidos em painel e monitorados diariamente. Desde 2023, múltiplos eventos de interesse foram identificados através do painel e resultaram em comunicação coordenada e ações no território. Os resultados exaltam a potencialidade no uso desses dados na identificação de eventos de interesse em tempo oportuno, alinhando-se a conceitos de uma vigilância moderna.

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OBJECTIVE: This is a retrospective analysis of the major and minor complications of cochlear implants, as well as the Risk Factors (RF) involved. METHODS: We analyzed the medical records of patients submitted to cochlear implants at public University from 2006 to July 2019, and list here the major and minor complications found, and their risk factors. RESULTS: There were 193 ears, 100 (51.3%) from females and 93 (48.2%) from males, with a mean age of 23.63 years. In 54 of them (28%), there were alterations seen in the Temporal Bone CT scan, and 44 (22.8%) in the brain MRI. There were 158 (81.9%) insertions performed; 127 (65.8%) of them through the round window. There were 78 complications: 19 (9.8%) major and 56 (29%) minor complications. Among the major complications, there were 3 (1.6%) Surgical Site infections (SS); 5 (2.6%) hematomas/seromas; 5 (2.6%) electrode extrusion; 5 (2.6%) device faults; 1 (0.5%) wrong path. Among the minor complications, there were 6 (3.1%) Acute Otitis Media (AOM); 9 (4.7%) SS infections; 4 (2.1%) facial paresis; 17 (8.8%) vertigos; 9 (4.7%) with tinnitus. The most important RF was age. Patients younger than 2.5 years had more major complications: SS infection (p = 0.018) and electrode extrusion (p = 0.017). There was a higher rate of vertigo in adults (p = 0.003), and it was more often associated with comorbidities (p = 0.008). The insertion route, the presence of changes in CT and MRI and the CI brand used did not impact the number of complications. CONCLUSION: Among the minor complications, those involving the vestibular system were the most common, especially in adults with comorbidities. Regarding major complications, there was an emphasis on SS infections, hematomas, seromas, electrode extrusion, especially in children under two years of age. There were implanted device faults (2.6%), with none of the brands evaluated standing out.

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Abstract: The influenza-like illness (ILI) sentinel surveillance operates in Brazil to identify respiratory viruses of public health relevance circulating in the country and was first implemented in 2000. Recently, the COVID-19 pandemic reinforced the importance of early detection of the circulation of new viruses in Brazil. Therefore, an analysis of the design of the ILI sentinel surveillance is timely. To this end, we simulated a sentinel surveillance network, identifying the municipalities that would be part of the network according to the criteria defined in the design of the ILI sentinel surveillance and, based on data from tested cases of severe acute respiratory illness (SARI) from 2014 to 2019, we drew samples for each sentinel municipality per epidemiological week. The draw was performed 1,000 times, obtaining the median and 95% quantile interval (95%QI) of virus positivity by Federative Unit and epidemiological week. According to the ILI sentinel surveillance design criteria, sentinel units would be in 64 municipalities, distributed mainly in capitals and their metropolitan areas, recommending 690 weekly samples. The design showed good sensitivity (91.65% considering the 95%QI) for qualitatively detecting respiratory viruses, even those with low circulation. However, there was important uncertainty in the quantitative estimate of positivity, reaching at least 20% in 11.34% of estimates. The results presented here aim to assist in evaluating and updating the ILI sentinel surveillance design. Strategies to reduce uncertainty in positivity estimates need to be evaluated, as does the need for greater spatial coverage.

Resumen: La vigilancia centinela de la enfermedad tipo infuenza (ETI) funciona en Brasil para identificar los virus respiratorios de importancia para la salud pública que circulan en el país y comenzó a ser implementada en 2000. Recientemente, la pandemia de COVID-19 ha reforzado la importancia de la detección temprana de la circulación de nuevos virus en el territorio brasileño. Así, se hace oportuno un análisis del diseño de la vigilancia centinela de la ETI. Para ello, simulamos una red centinela identificando los municipios que formarían parte de la red según los criterios definidos en el diseño de la vigilancia centinela de la ETI y, a partir de los datos de casos testados de infección respiratoria aguda grave (IRAG) de 2014 a 2019, se extrajeron muestras para cada municipio centinela por semana epidemiológica. El sorteo se repitió 1.000 veces y se obtuvo la mediana y el intervalo cuantílico del 95% (IC95%) de la positividad por virus, por Unidad Federativa y semana epidemiológica. Según los criterios del diseño de la vigilancia centinela de la ETI, unidades centinelas estarían en 64 municipios, distribuidas principalmente en capitales y zonas metropolitanas de las capitales, preconizando 690 muestras semanales. El diseño presentó una buena sensibilidad (total de 91,65% considerando el IC95%) para la detección cualitativa de los virus respiratorios, incluso los de baja circulación. Sin embargo, hubo una importante incertidumbre en la estimación cuantitativa de la positividad, alcanzando al menos el 20% en el 11,34% de las estimaciones. Los resultados presentados aquí tienen como objetivo ayudar en la evaluación y actualización del diseño de la red centinela. Es necesario evaluar las estrategias para reducir la incertidumbre en las estimaciones de positividad, al igual que la necesidad de una mayor cobertura espacial.

Resumo: A vigilância sentinela de síndrome gripal atua no Brasil identificando os vírus respiratórios de importância para a saúde pública circulantes no país, e começou a ser implementada em 2000. Recentemente, a pandemia de COVID-19 reforçou a importância da detecção precoce de novos vírus em circulação no território brasileiro. Assim, se faz oportuna uma análise do desenho da vigilância sentinela de síndrome gripal. Para tal, simulamos uma rede sentinela, identificando os municípios que fariam parte da rede segundo os critérios definidos no desenho da vigilância sentinela de síndrome gripal, e, a partir dos dados de casos testados de síndrome respiratória aguda grave (SRAG) de 2014 a 2019, sorteamos amostras para cada município sentinela por semana epidemiológica. O sorteio foi repetido mil vezes, obtendo-se a mediana e intervalo quantílico de 95% (IQ95%) da positividade para cada vírus por Unidade Federativa e semana epidemiológica. Segundo os critérios do desenho da vigilância sentinela de síndrome gripal, unidades sentinelas estariam em 64 municípios, distribuídas principalmente em capitais e suas zonas metropolitanas, o que preconizou 690 amostras semanais. O desenho apresentou boa sensibilidade (total de 91,65%, considerando o IQ95%) para a detecção qualitativa dos vírus respiratórios, mesmo os de baixa circulação. Porém, houve importante incerteza na estimativa quantitativa de positividade, chegando a, pelo menos, 20% em 11,34% das estimativas. Os resultados aqui apresentados visam auxiliar a avaliação e a atualização do desenho da rede sentinela. Estratégias para reduzir a incerteza nas estimativas de positividade precisam ser avaliadas, assim como a necessidade de maior cobertura espacial.

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BACKGROUND: It is important to understand the dynamics of SARS-CoV-2 transmission in close-contact settings such as households. We hypothesized that children would most often acquire SARS-CoV-2 from a symptomatic adult caregiver. METHODS: This prospective cohort study was conducted from April 2020 to July 2022 in a low-resource, urban settlement in Brazil. We recruited families who brought their children to a public clinic. We collected nasopharyngeal and oral swabs from household members and tracked symptoms and vaccination. RESULTS: In total, 1256 participants in 298 households were tested for SARS-CoV-2. A total of 4073 RT-PCR tests were run with 893 SARS-CoV-2 positive results (21.9%). SARS-CoV-2 cases were defined as isolated cases (N = 158) or well-defined transmission events (N = 175). The risk of household transmission was lower if the index case was a child (OR: 0.3 [95% CI: 0.16-0.55], P < .001) or was vaccinated (OR: 0.29 [95% CI: 0.1-0.85], P = .024), and higher if the index was symptomatic (OR: 2.53 [95% CI: 1.51-4.26], P < .001). The secondary attack rate for child index cases to child contacts was 0.29, whereas the secondary attack rate for adult index cases to child contacts was 0.47 (P = .08). CONCLUSIONS: In this community, children were significantly less infectious to their household contacts than adolescents or adults. Most children were infected by a symptomatic adult, usually their mother. There was a double benefit of vaccination as it protected the vaccine from severe illness and prevented onward transmission to household contacts. Our findings may also be valid for similar populations throughout Latin America.

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Background: Brazil started the COVID-19 mass vaccination in January 2021 with CoronaVac and ChAdOx1, followed by BNT162b2 and Ad26.COV2.S vaccines. By the end of 2021, more than 317 million vaccine doses were administered in the adult population. This study aimed at estimating the effectiveness of the primary series of COVID-19 vaccination and booster shots in protecting against severe cases and deaths in Brazil during the first year of vaccination. Methods: A cohort dataset of over 158 million vaccination and severe cases records linked from official national registries was analyzed via a mixed-effects Poisson model, adjusted for age, state of residence, time after immunization, and calendar time to estimate the absolute vaccine effectiveness of the primary series of vaccination and the relative effectiveness of the booster. The method permitted analysis of effectiveness against hospitalizations and deaths, including in the periods of variant dominance. Findings: Vaccine effectiveness against severe cases and deaths remained over 25% and 50%, respectively, after 19 weeks from primary vaccination of BNT162b2, ChAdOx1, or CoronaVac vaccines. The boosters conferred greater protection than the primary series of vaccination, with heterologous boosters providing marginally greater protection than homologous. The effectiveness against hospitalization during the Omicron dominance in the 60+ years old population started at 61.7% (95% CI, 26.1-86.2) for ChAdOx1, 95.6% (95% CI, 82.4-99.9) for CoronaVac, and 72.3% (95% CI, 51.4-87.4) for the BNT162b2 vaccine. Interpretation: This study provides real-world evidence of the effectiveness of COVID-19 vaccination in Brazil, including during the Omicron wave, demonstrating protection even after waning effectiveness. Comparisons of the effectiveness among different vaccines require caution due to potential bias effects related to age groups, periods in the pandemic, and eventual behavioural changes. Funding: Fundação Oswaldo Cruz (FIOCRUZ), Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq), Fundação de Amparo a Pesquisa do Estado do Rio de Janeiro (FAPERJ), Pan American Health Organization (PAHO), Departamento de Ciência e Tecnologia da Secretaria de Ciência, Tecnologia, Inovação e Insumos Estratégicos em Saúde do Ministério da Saúde do Brasil (DECIT/SCTIE/MS).

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OBJECTIVE: To evaluate excess mortality in the city of Rio de Janeiro, Brazil, due to the COVID-19 pandemic (March 2020 to January 2022). METHODS: Ecological study using secondary data from the Brazilian Mortality Information System, having the city of Rio de Janeiro as the unit of analysis. Excess mortality was estimated by the difference between the mean number of all expected deaths and the mean number of observed deaths, considering the 2015-2019 period. The quantile regression method was adjusted. The total value of cases above that expected by the historical series was estimated. Among all deaths, cases of COVID-19 and Influenza as underlying causes of death were selected. The ratio between excess mortality and deaths due to COVID-19 was calculated. RESULTS: We identified an excess of 31,920 deaths by the mean (increase of 26.8%). The regression pointed to 31,363 excess deaths. We found 33,401 deaths from COVID-19 and 176 deaths from Influenza. The ratio between the verified excess mortality and deaths due to COVID-19 was 0.96 by the mean and 0.95 by the regression. CONCLUSION: The study pointed to large excess deaths during the COVID-19 pandemic in the city of Rio de Janeiro distributed in waves, including the period of the Influenza outbreak.

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Background: Vaccines developed between 2020 and 2021 against the SARS-CoV-2 virus were designed to diminish the severity and prevent deaths due to COVID-19. However, estimates of the effectiveness of vaccination campaigns in achieving these goals remain a methodological challenge. In this work, we developed a Bayesian statistical model to estimate the number of deaths and hospitalisations averted by vaccination of older adults (above 60 years old) in Brazil. Methods: We fit a linear model to predict the number of deaths and hospitalisations of older adults as a function of vaccination coverage in this group and casualties in younger adults. We used this model in a counterfactual analysis, simulating alternative scenarios without vaccination or with faster vaccination roll-out. We estimated the direct effects of COVID-19 vaccination by computing the difference between hypothetical and realised scenarios. Findings: We estimated that more than 165,000 individuals above 60 years of age were not hospitalised due to COVID-19 in the first seven months of the vaccination campaign. An additional contingent of 104,000 hospitalisations could have been averted if vaccination had started earlier. We also estimated that more than 58 thousand lives were saved by vaccinations in the period analysed for the same age group and that an additional 47 thousand lives could have been saved had the Brazilian government started the vaccination programme earlier. Interpretation: Our estimates provided a lower bound for vaccination impacts in Brazil, demonstrating the importance of preventing the suffering and loss of older Brazilian adults. Once vaccines were approved, an early vaccination roll-out could have saved many more lives, especially when facing a pandemic. Funding: The Coordenação de Aperfeiçoamento de Pessoal de Nível Superior-Brazil (Finance Code 001 to F.M.D.M. and L.S.F.), Conselho Nacional de Desenvolvimento Científico e Tecnológico - Brazil (grant number: 315854/2020-0 to M.E.B., 141698/2018-7 to R.L.P.d.S., 313055/2020-3 to P.I.P., 311832/2017-2 to R.A.K.), Fundação de Amparo à Pesquisa do Estado de São Paulo - Brazil (contract number: 2016/01343-7 to R.A.K.), Fundação de Amparo à Pesquisa do Estado do Rio de Janeiro - Brazil (grant number: E-26/201.277/2021 to L.S.B.) and Inova Fiocruz/Fundação Oswaldo Cruz - Brazil (grant number: 48401485034116) to L.S.B., O.G.C. and M.G.d.F.C. The funding agencies had no role in the conceptualization of the study.

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ABSTRACT Objective: To evaluate excess mortality in the city of Rio de Janeiro, Brazil, due to the COVID-19 pandemic (March 2020 to January 2022). Methods: Ecological study using secondary data from the Brazilian Mortality Information System, having the city of Rio de Janeiro as the unit of analysis. Excess mortality was estimated by the difference between the mean number of all expected deaths and the mean number of observed deaths, considering the 2015-2019 period. The quantile regression method was adjusted. The total value of cases above that expected by the historical series was estimated. Among all deaths, cases of COVID-19 and Influenza as underlying causes of death were selected. The ratio between excess mortality and deaths due to COVID-19 was calculated. Results: We identified an excess of 31,920 deaths by the mean (increase of 26.8%). The regression pointed to 31,363 excess deaths. We found 33,401 deaths from COVID-19 and 176 deaths from Influenza. The ratio between the verified excess mortality and deaths due to COVID-19 was 0.96 by the mean and 0.95 by the regression. Conclusion: The study pointed to large excess deaths during the COVID-19 pandemic in the city of Rio de Janeiro distributed in waves, including the period of the Influenza outbreak.

RESUMO Objetivo: Analisar o excesso de óbitos no município do Rio de Janeiro (MRJ), RJ, durante a pandemia de COVID-19 (março de 2020 a janeiro de 2022). Métodos: Foi realizado um estudo ecológico com dados secundários do Sistema de Informação sobre Mortalidade cuja unidade de análise foi o MRJ. O excesso de mortalidade foi calculado pela diferença entre a média de óbitos esperados e a média dos óbitos observados levando-se em conta o período de 2015 a 2019. Foi ajustado um método de regressão quantílica. Calculou-se o valor total dos casos acima do esperado pela série histórica. Foram selecionados os óbitos por causa básica COVID-19 e Influenza. Também foi calculada a razão entre o excesso de óbitos e os óbitos atribuídos à COVID-19. Resultados: Foi identificado excesso de 31.920 óbitos pela média (26,8% de incremento). Pela regressão quantílica, encontrou-se excesso de 31.363 óbitos. Ocorreram 33.401 óbitos por COVID-19 e 176 por Influenza. A razão entre o excesso de óbitos encontrado e os óbitos atribuídos à COVID-19 foi de 0,96 pela média e 0,95 pela regressão quantílica. Conclusão: O estudo apontou grande excesso de óbitos durante a pandemia de COVID-19 no MRJ, distribuído em ondas, incluindo-se o período do surto de Influenza.

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This cross-sectional observational study that describes the epidemiological data of the first year of the COVID-19 pandemic in the Mato Grosso do Sul State, aimed to demonstrate the differences between indigenous and non-indigenous populations, characterize confirmed cases of COVID-19 according to risk factors related to ethnicity, comorbidities and their evolution and to verify the challenges in facing the disease in Brazil. SIVEP-Gripe and E-SUS-VE, a nationwide surveillance database in Brazil, from March 2020 to March 2021 in Mato Grosso do Sul state, were used to compare survivors and non-survivors from indigenous and non-indigenous populations and the epidemiological incidence curves of these populations. A total of 176,478, including 5,299 indigenous people, were confirmed. Among the indigenous population, 52.5% (confidence interval [CI] 51.2-53.9) were women, 38% (CI 36.7-39.4) were 20-39 years old, 56.7% were diagnosed by rapid antibody tests, 12.3% (CI 95%:11.5-13.2) had at least one comorbidity, and 5.3% (CI 95%:4.7-5.9) were hospitalized. In the non-indigenous patients, 56.8% were confirmed using RT-PCR, 4.4% (CI 95%:4.3-4.5) had at least one comorbidity, and 8.0% (CI 95%:7.9-8.2) were hospitalized. The majority of non-survivors were ≥60 years old (65.1% indigenous vs. 74.1% non-indigenous). The mortality in indigenous people was more than three times higher (11% vs. 2.9%). Indigenous people had a lower proportion of RT-PCR diagnoses; deaths were more frequent in younger patients and were less likely to be admitted to hospital. Mass vaccination may have controlled the incidence and mortality associated with COVID-19 in this population during the period of increased viral circulation.

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Abstract Introduction: Electrocochleography has recently emerged as a diagnostic tool in cochlear implant surgery, purposing hearing preservation and optimal electrode positioning. Objective: In this experimental study, extra-cochlear potentials were obtained during cochlear implant surgery in guinea pigs. The aim was to determine electrophysiological changes indicating cochlear trauma after cochleostomy and after electrode implantation in different insertion depths. Methods: Normal-hearing guinea pigs (n = 14) were implanted uni- or bilaterally with a multichannel electrode. The extra-cochlear cochlear nerve action potentials were obtained in response to acoustic stimuli at specific frequencies before and after cochleostomy, and after introduction of the electrode bundle. After the electrophysiological experiments, the guinea pigs were euthanized and microtomography was performed, in order to determine the position of the electrode and to calculate of the depth of insertion. Based on the changes of amplitude and thresholds in relation to the stimulus frequency, the electrophysiological data and the position obtained by the microtomography reconstruction were compared. Results: Cochleostomy promoted a small electrophysiological impact, while electrode insertion caused changes in the amplitude of extra-cochlear electrophysiological potentials over a wide range of frequencies, especially in the deepest insertions. There was, however, preservation of the electrical response to low frequency stimuli in most cases, indicating a limited auditory impact in the intraoperative evaluation. The mean insertion depth of the apical electrodes was 5339.56 μm (±306.45 - 6 inserted contacts) and 4447.75 μm (±290.23 - 5 inserted contacts). Conclusions: The main electrophysiological changes observed during surgical procedures occurred during implantation of the electrode, especially the deepest insertions, whereas the cochleostomy disturbed the potentials to a lesser extent. While hearing loss was often observed apical to the cochlear implant, it was possible to preserve low frequencies after insertion. © 2020 Associação Brasileira de Otorrinolaringologia e Cirurgia Cérvico-Facial. Published by Elsevier Editora Ltda. This is an open access article under the CC BY license (http:// creativecommons.org/licenses/by/4.0/).

Resumo Introdução: A eletrococleografia surgiu recentemente como uma ferramenta diagnóstica na cirurgia de implante coclear, objetiva a preservação da audição e o posicionamento ideal dos eletrodos. Objetivo: Determinar as alterações eletrofisiológicas indicativas de trauma coclear após a cocleostomia e após o implante do eletrodo em diferentes profundidades de inserção. Método: Neste estudo experimental, potenciais extracocleares foram obtidos durante a cirurgia de implante coclear em cobaias. Cobaias com audição normal (n = 14) foram implantadas uni- ou bilateralmente com eletrodo multicanal. Os potenciais de ação do nervo coclear extracoclear foram obtidos em resposta a estímulos acústicos em frequências específicas antes e após a cocleostomia e após a introdução do feixe de eletrodos. Após os experimentos eletrofisiológicos, as cobaias foram submetidas à eutanásia e a microtomografia foi feita para determinar a posição do eletrodo e calcular a profundidade de inserção. Com base nas mudanças de amplitude e limiares em relação à frequência do estímulo, os dados eletrofisiológicos e a posição obtida na reconstrução microtomográfica foram comparados. Resultados: A cocleostomia promoveu um pequeno impacto eletrofisiológico, enquanto a inserção do eletrodo causou alterações na amplitude dos potenciais eletrofisiológicos extra-cocleares em uma ampla faixa de frequências, especialmente nas inserções mais profundas. Houve, entretanto, preservação da resposta elétrica aos estímulos de baixa frequência na maioria dos casos, indicou um impacto auditivo limitado na avaliação intraoperatória. A profundidade média de inserção dos eletrodos apicais foi 5339,56 μm (± 306,45 - 6 contatos inseridos) e 4447,75 μm (± 290,23 - 5 contatos inseridos). Conclusão: As principais alterações eletrofisiológicas observadas durante os procedimentos cirúrgicos ocorreram durante o implante do eletrodo, especialmente nas inserções mais profundas, enquanto a cocleostomia alterou os potenciais em menor grau. Embora a perda auditiva seja frequentemente observada em posição apical ao implante coclear, foi possível preservar as baixas frequências após a inserção.

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Dengue, Zika, and chikungunya are arboviral diseases (AVD) transmitted mainly by Aedes aegypti. Rio de Janeiro city, Brazil, has been endemic for dengue for over 30 years, and experienced the first joint epidemic of the three diseases between 2015-2016. They present similar symptoms and only a small proportion of cases are laboratory-confirmed. These facts lead to potential misdiagnosis and, consequently, uncertainty in the registration of the cases. We have available the number of cases of each disease for the n=160 neighborhoods of Rio de Janeiro. We propose a Poisson model for the total number of cases of Aedes-borne diseases and, conditioned on the total, we assume a multinomial model for the allocation of the number of cases of each of the diseases across the neighborhoods. This provides simultaneously the estimation of the associations of the relative risk of the total cases of AVD with environmental and socioeconomic variables; and the estimation of the probability of presence of each disease as a function of available covariates. Our findings suggest that a one standard deviation increase in the social development index decreases the relative risk of the total cases of AVD by 28%. Neighborhoods with smaller proportion of green area had greater odds of having chikungunya in comparison to dengue and Zika. A one standard deviation increase in population density decreases the odds of a neighborhood having Zika instead of dengue by 18% but increases the odds of chikungunya in comparison to dengue by 18% and by 43% in comparison to Zika.

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Epidemiological surveillance and notification of respiratory infections are important for management and control of epidemics and pandemics. Fact-based decisions, like social distancing policies and preparation of hospital beds, are taken based on several factors, including case numbers; hence, health authorities need quick access to reliable and well-analysed data. We aimed to analyse the role of the Brazilian public health system in the notification and hospitalization of patients with severe acute respiratory infection (SARI). Data of SARI cases in Brazil (2013-20) were obtained from SIVEP-Gripe platform, and legal status of each healthcare unit (HCU) responsible for case notification and hospitalization was obtained from the National Registry of Health Facilities (CNES) database. HCUs that are part of the hospital network were classified as 'Public Administration', 'Business Entities', 'Philanthropic Entities' or 'Individuals'. SARI notification data from Brazilian macro-regions (North, Northeast, Midwest, Southeast and South) were analysed and compared between administrative spheres. This study reveals that hospitalizations due to SARI increased significantly in Brazil during the coronavirus disease 2019 (COVID-19) pandemic, especially in HCUs of Public Administration. In the Southeast and South, where incidence of SARI is high, philanthropic HCUs also contribute to hospitalization of SARI cases and attend up to 7.4% of the cases notified by the Public Administration. The number of cases is usually lower in other regions, but in 2020 the Northeast showed more hospitalizations than the South. In the South, SARI season occurs later; however, in 2020, an early peak was observed because of COVID-19. Notably, the contribution of each administrative sphere that manages hospital networks in Brazil in the control and management of SARI varies between regions. Our approach will allow managers to assess the use of public resources, given that there are different profiles of healthcare in each region of Brazil and that the public health system has a major role in notifying and attending SARI cases.

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The present report describes the implementation of an emergency operations center to coordinate the response to the COVID-19 pandemic in the municipality of Rio de Janeiro, Brazil. Following the public health emergency management framework proposed by the World Health Organization (WHO), this temporary center (COE COVID-19 RIO) started operating in January 2021. The report is organized along five themes: legal framework; structure, planning, and procedures; institutional articulation; health information for decision-making; and risk communication. Major advances obtained with the initiative include improvements in governance for the management of COVID-19, increase in the synergy among sectors and institutions, improved information sharing in relation to COVID-19 prevention and control measures, innovation in epidemiologic analyses, and gains in transparency and decision-making opportunities. In conclusion, even if conceived at an advanced stage of the pandemic in the municipality of Rio de Janeiro, the COE COVID-19 RIO has played a relevant role in shaping the city's responses to the pandemic. Also, despite its temporary character, the experience will leave a lasting legacy for the management of future public health emergencies in the municipality of Rio de Janeiro.

En el presente artículo se describe la experiencia al establecerse un centro de operaciones de emergencia (COE) para coordinar la respuesta a la pandemia de COVID-19 en el municipio de Rio de Janeiro (Brasil). Siguiendo el modelo de gestión de emergencias de salud pública promovido por la Organización Mundial de la Salud (OMS), este centro temporal se activó en enero del 2021. El informe se estructuró con base en cinco ejes temáticos: marco legal; estructura, planes y procedimientos; articulaciones institucionales; información en materia de salud para sustentar las decisiones; y comunicación sobre riesgos. Entre los principales avances relacionados con esta iniciativa cabe destacar los adelantos en cuanto a la gobernanza para organizar la forma de enfrentar la COVID-19, el aumento de la sinergia entre los sectores y las instituciones correspondientes, un mayor intercambio de información sobre las medidas de prevención y control de la enfermedad, innovación en los análisis epidemiológicos, mayor transparencia en la toma de decisiones y decisiones tomadas de manera más oportuna. Se llegó a la conclusión de que este COE, a pesar de que había sido establecido en una fase avanzada de la pandemia en la ciudad, tuvo un papel importante en la estructuración de la respuesta. Sin embargo, a pesar de su carácter temporal, la experiencia demostró ser un importante legado para enfrentar futuras emergencias de salud pública en el municipio de Rio de Janeiro.