ABSTRACT
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.
ABSTRACT
Dengue, an arboviral disease transmitted by Aedes mosquitoes, has been endemic in Brazil for decades. However, vector-control strategies have not led to a significant reduction in the disease burden and have not been sufficient to prevent chikungunya and Zika entry and establishment in the country. In Rio de Janeiro city, the first Zika and chikungunya epidemics were detected between 2015 and 2016, coinciding with a dengue epidemic. Understanding the behaviour of these diseases in a triple epidemic scenario is a necessary step for devising better interventions for prevention and outbreak response. We applied scan statistics analysis to detect spatio-temporal clustering for each disease separately and for all three simultaneously. In general, clusters were not detected in the same locations and time periods, possibly owing to competition between viruses for host resources, depletion of susceptible population, different introduction times and change in behaviour of the human population (e.g. intensified vector-control activities in response to increasing cases of a particular arbovirus). Simultaneous clusters of the three diseases usually included neighbourhoods with high population density and low socioeconomic status, particularly in the North region of the city. The use of space-time cluster detection can guide intensive interventions to high-risk locations in a timely manner, to improve clinical diagnosis and management, and pinpoint vector-control measures.
Subject(s)
Chikungunya Fever/epidemiology , Dengue/epidemiology , Zika Virus Infection/epidemiology , Brazil/epidemiology , Disease Outbreaks , Epidemics , Humans , Spatio-Temporal AnalysisABSTRACT
OBJECTIVES: Compare mortality from severe acute respiratory infection (SARI) attributable to influenza between pre-vaccination (pre-V) and post-vaccination (post-V) periods, to determine the historical evolution and seasonality of time series between 2002 and 2016, and to estimate the risk of death in children between 6 and 23 months of age, using a statistical model. METHODS: Time-series study using official mortality data from the official statistical database on deaths. ICD-10 codes between J09-18.9 and J22X were considered to represent SARI. Crude rates and age-adjusted rates (AAR) were calculated, and pre-V (2002-2009) and post-V (2010-2016) periods were compared using the chi-squared (χ2) test. The best statistical model was the one that compared deaths from SARI in children during 2002 with other years. The data were analyzed with R programming (p <0.05). RESULTS: 4.6% of deaths (301,747) were from SARI, with a median age of 82 years. The percentage of deaths under age 2 declined in the post-V period (from 2.34% to 0.99%, p < 0.05). Marked seasonality was observed in winter. The AAR in persons over age 64 rose from 259.8 per 100,000 population (pre-V) to 328.6 (post-V) (p < 0.05). In children, the crude rate dropped significantly. Compared with the year 2002, there was a significantly lower estimated risk of dying from SARI during the three years post-V. CONCLUSIONS: The reduction in mortality from influenza in Argentina was more pronounced in children, with an estimated 3.5 fewer child deaths from SARI per month.
OBJETIVOS: Comparar o índice de mortalidade por infecção respiratória aguda grave atribuível à gripe nos períodos pré-vacinal e pós-vacinal, conhecer a evolução temporal e a sazonalidade da série temporal entre 2002 e 2016 e estimar o risco de morte em crianças entre 6 e 23 meses de idade com o uso de um modelo estatístico. MÉTODOS: Estudo de série histórica com base em dados oficiais de mortalidade obtidos do informe estatístico de óbitos. Os códigos da CID-10 entre J09-18.9 e J22X foram considerados como sendo infecção respiratória aguda grave atribuível à gripe. Foram calculados os índices de mortalidade brutos e ajustados por idade e feita uma comparação entre os períodos pré-vacinal (20022009) e pós-vacinal (20102016) com o teste de χ2. O melhor modelo estatístico foi o que comparou os índices de mortalidade por infecção respiratória aguda grave atribuível à gripe em crianças em 2002 com os outros anos. Os dados foram analisados com o programa R, a um nível de significância P<0,05. RESULTADOS: Observou-se que 4,6% (301.747) das mortes foram por infecção respiratória aguda grave atribuível à gripe, com idade mediana de 82 anos. Houve queda no percentual de mortes em crianças menores de dois anos no período pós-vacinal (2,34% a 0,99%, P< 0,05). Verificou-se uma acentuada sazonalidade no inverno. Os índices ajustados por idade em idosos variaram entre 259,8 por 100 mil no período pré-vacinal e 328,6 por 100 mil no período pós-vacinal (P<0,05). Nas crianças, houve queda significativa nos índices brutos, estimando-se um risco significativamente menor de morte por infecção respiratória aguda grave atribuível à gripe nos 3 anos pós-vacinais em comparação a 2002. CONCLUSÕES: A redução da mortalidade pela gripe na Argentina foi mais evidente em crianças, com uma redução estimada de 3,5 mortes por mês.
ABSTRACT
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.
Subject(s)
COVID-19 , Humans , Brazil/epidemiology , COVID-19/epidemiology , COVID-19/prevention & control , Information Technology , Pandemics , SARS-CoV-2 , Population Surveillance/methodsABSTRACT
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.
Subject(s)
COVID-19 , Influenza, Human , Sentinel Surveillance , Humans , Brazil/epidemiology , Influenza, Human/epidemiology , Influenza, Human/diagnosis , COVID-19/epidemiology , COVID-19/diagnosis , SARS-CoV-2 , PandemicsABSTRACT
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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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.
Subject(s)
COVID-19 , Influenza, Human , Humans , COVID-19/epidemiology , Brazil/epidemiology , Pandemics , Influenza, Human/epidemiology , CausalityABSTRACT
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.
Subject(s)
COVID-19 , SARS-CoV-2 , Adult , Female , Adolescent , Child , Humans , COVID-19/epidemiology , Prospective Studies , Pandemics/prevention & control , Family CharacteristicsABSTRACT
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).
ABSTRACT
BACKGROUND & AIMS: To study immunological mechanisms of fulminant hepatic failure (FHF) derived from extensive liver lesions, 14 patients with FHF induced by different aetiologies were investigated by observance of both lymphocyte phenotyping and cytokine levels. METHODS: Five patients bearing benign acute hepatitis B (AHB) and seven healthy liver donors (HC) were used as controls. Samples of liver and blood from both FHF patients and HC were obtained during transplantation procedures. Plasma levels of IL-1ß, IL-4, IL-6, IL-8, IL-10, IFN-γ, TNF-α, MCP-1, RANTES and MIP-1α were quantified using a multiplex immunoassay. Cell characterization was carried out by flow cytometry. IFN-γ staining was performed on liver sections using immunofluorescence methods. RESULTS: An increase of peripheral frequency of natural killer (NK) cells expressing early activation markers (CD69, HLA-DR and CD38) and adhesion molecule CD44 was observed in FHF patients. Elevated frequency of T lymphocytes CD4(+) and CD8(+) expressing CD38 and adhesion molecules CD29 and CD44 was also observed in FHF. Additionally, an increase of natural killer T cells (NKT) was detected in FHF patients. High plasma cytokine levels were not statistically different between FHF and AHB patients. In comparison to HC, a strong liver expression of IFN-γ was detected in FHF patients. The increased frequency of CD4(+) CD44(+) and IL-8 cytokine was found in patients with poor prognosis. CONCLUSIONS: These findings indicate the involvement of NK and NKT cells as well as T lymphocytes CD4(+) and CD8(+) in the inflammatory process inducing FHF, confirmed by the high hepatic expression of IFN-γ.
Subject(s)
Interferon-gamma/metabolism , Liver Failure/immunology , Liver/immunology , Lymphocyte Activation/immunology , Adolescent , Adult , Aged , Biomarkers/metabolism , CD4-Positive T-Lymphocytes/immunology , CD4-Positive T-Lymphocytes/metabolism , CD4-Positive T-Lymphocytes/pathology , CD8-Positive T-Lymphocytes/immunology , CD8-Positive T-Lymphocytes/metabolism , CD8-Positive T-Lymphocytes/pathology , Cell Count , Child , Child, Preschool , Cytokines/metabolism , Female , Humans , Immunophenotyping , Killer Cells, Natural/immunology , Killer Cells, Natural/metabolism , Killer Cells, Natural/pathology , Liver/metabolism , Liver/pathology , Liver Failure/diagnosis , Liver Failure/metabolism , Male , Middle Aged , Natural Killer T-Cells/immunology , Natural Killer T-Cells/metabolism , Natural Killer T-Cells/pathology , Prognosis , Tissue Donors , Young AdultABSTRACT
Dengue virus (DENV) and parvovirus B19 (B19V) infections are acute exanthematic febrile illnesses that are not easily differentiated on clinical grounds and affect the paediatric population. Patients with these acute exanthematic diseases were studied. Fever was more frequent in DENV than in B19V-infected patients. Arthritis/arthralgias with DENV infection were shown to be significantly more frequent in adults than in children. The circulating levels of interleukin (IL)-1 receptor antagonist (Ra), CXCL10/inducible protein-10 (IP-10), CCL4/macrophage inflammatory protein-1 beta and CCL2/monocyte chemotactic protein-1 (MCP-1) were determined by multiplex immunoassay in serum samples obtained from B19V (37) and DENV-infected (36) patients and from healthy individuals (7). Forward stepwise logistic regression analysis revealed that circulating CXCL10/IP-10 tends to be associated with DENV infection and that IL-1Ra was significantly associated with DENV infection. Similar analysis showed that circulating CCL2/MCP-1 tends to be associated with B19V infection. In dengue fever, increased circulating IL-1Ra may exert antipyretic actions in an effort to counteract the already increased concentrations of IL-1ß, while CXCL10/IP-10 was confirmed as a strong pro-inflammatory marker. Recruitment of monocytes/macrophages and upregulation of the humoral immune response by CCL2/MCP-1 by B19V may be involved in the persistence of the infection. Children with B19V or DENV infections had levels of these cytokines similar to those of adult patients.
Subject(s)
Chemokine CCL2/blood , Chemokine CCL4/blood , Chemokine CXCL10/blood , Dengue/blood , Interleukin 1 Receptor Antagonist Protein/blood , Parvoviridae Infections/blood , Acute Disease , Adolescent , Adult , Aged , Biomarkers/blood , Case-Control Studies , Chemokine CCL2/immunology , Chemokine CCL4/immunology , Chemokine CXCL10/immunology , Child , Child, Preschool , Dengue/immunology , Female , Humans , Immunoassay , Infant , Infant, Newborn , Interleukin 1 Receptor Antagonist Protein/immunology , Male , Middle Aged , Parvoviridae Infections/immunology , Prospective Studies , Young AdultABSTRACT
Age-related seroprevalence studies that have been conducted in Brazil have indicated a transition from a high to a medium endemicity of hepatitis A virus (HAV) infection in the population. However, most of these studies have focused on urban populations that experience lower incidence rates of HAV infection. In the current study, the prevalence of anti-HAV antibodies was investigated in children with a low socioeconomic status (SES) that live on the periphery of three capital cities in Brazil. A total of 1,162 dried blood spot samples were collected from individuals whose ages ranged from one-18 years and tested for anti-HAV antibodies. A large number of children under five years old (74.1-90%) were identified to be susceptible to HAV infection. The anti-HAV antibody prevalence reached ≥ 50% among those that were 10-14 years of age or older. The anti-HAV prevalence rates observed were characteristics of regions with intermediate level of hepatitis A endemicity. These data indicated that a large proportion of children with a low SES that live at the periphery of urban cities might be at risk of contracting an HAV infection. The hepatitis A vaccine that is currently offered in Brazil is only available for high-risk groups or at private clinics and is unaffordable for individuals with a lower SES. The results from this study suggest that the hepatitis A vaccine should be included in the Brazilian National Program for Immunisation.
Subject(s)
Hepatitis A Antibodies/blood , Hepatitis A Vaccines , Hepatitis A Virus, Human/immunology , Hepatitis A/epidemiology , Adolescent , Age Distribution , Brazil/epidemiology , Child , Child, Preschool , Cross-Sectional Studies , Female , Hepatitis A/prevention & control , Humans , Infant , Male , Prevalence , Seroepidemiologic Studies , Socioeconomic Factors , Urban PopulationABSTRACT
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.
Subject(s)
COVID-19 , Fund Raising , Influenza, Human , Respiratory Tract Infections , Brazil/epidemiology , COVID-19/epidemiology , Delivery of Health Care , Health Facilities , Hospitalization , Humans , Influenza, Human/epidemiology , Pandemics , Respiratory Tract Infections/epidemiologyABSTRACT
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.
Subject(s)
COVID-19 , Humans , Female , Young Adult , Adult , Middle Aged , Male , COVID-19/epidemiology , Pandemics , Indigenous Peoples , Indians, South American , Cross-Sectional Studies , Brazil/epidemiologyABSTRACT
Following the reemergence of yellow fever in 2014/2015, Brazil recorded its largest yellow fever epidemic in recent decades, mainly affecting the country's Southeast region. Yellow fever is a hemorrhagic viral disease caused by a flavivirus transmitted by sylvatic mosquitos (Haemagogus; Sabethes). In the urban cycle, eradicated in Brazil since 1942, the virus is transmitted by Aedes aegypti. Nonhuman primates are the principal hosts of the virus and constitute "sentinels" in yellow fever surveillance. This article describes the control and prevention activities launched during the yellow fever epidemic in the State of Espírito Santo, Brazil, and the implementation of vaccination, through an ecological study with a spatial approach. The study revealed the lack of detection of epizootics in nonhuman primates by surveillance services in Espírito Santo, with simultaneous detection in humans. The study presented the evolution of vaccination activities, reaching 85% overall coverage for the state in six months, varying widely, from 59% to 122%, between municipalities (counties). Importantly, 55% of the municipalities with timely immunization, considering the interval adopted for this study, did not present human cases. The intensification of surveillance activities, communication between areas, and multidisciplinary teams in managing the epidemic optimized the detection and diagnosis of human cases and allowed control of the epidemic. The study identifies progress and points to some late measures and gaps in surveillance that require improvements.
A partir da reemergência da febre amarela em 2014/2015, o Brasil registrou nos anos sequentes sua maior epidemia de febre amarela das últimas décadas, atingindo principalmente a região sudeste. A febre amarela, doença viral hemorrágica, é causada por um flavivírus, transmitido por mosquitos silvestres (Haemagogus; Sabethes). Na ocorrência do ciclo urbano, erradicado no Brasil desde 1942, a transmissão se dá pelo Aedes aegypti. Primatas não humanos são os principais hospedeiros do vírus e constituem "sentinelas" na vigilância da febre amarela. Este artigo descreve as ações de controle e prevenção desencadeadas durante a epidemia de febre amarela no Estado do Espírito Santo, Brasil, e a implementação da vacinação por meio de um estudo ecológico com abordagem espacial. O estudo evidenciou a falha na detecção de epizootias em primatas não humanos pelos serviços de vigilância do Espírito Santo, sendo simultânea à detecção em humanos. Apresentou a evolução das ações de vacinação, com alcance de 85% de cobertura vacinal geral para o estado em seis meses, sendo heterogênea entre os municípios (de 59% a 122%). Destaca-se que 55% dos municípios com ações de imunização em tempo oportuno, considerando o intervalo adotado para este estudo, não apresentaram casos em humanos. A intensificação das ações de vigilância, interlocução entre as áreas e equipes multidisciplinares na condução da epidemia otimizou a detecção e o diagnóstico dos casos em humanos e viabilizou o controle da epidemia. Foi possível reconhecer avanços, apontar algumas medidas tardias e lacunas na vigilância que necessitam melhorias.
A partir del resurgimiento de la fiebre amarilla en 2014/2015, Brasil registró los años siguientes su mayor epidemia de fiebre amarilla de las últimas décadas, alcanzando principalmente la región sudeste. La fiebre amarilla, enfermedad viral hemorrágica, es causada por un flavivirus, transmitido por mosquitos silvestres (Haemagogus; Sabethes). Respecto a la ocurrencia del ciclo urbano, erradicado en Brasil desde 1942, la transmisión se produce por el Aedes aegypti. Primates no humanos son los principales huéspedes del virus, y constituyen "centinelas" en la vigilancia de la fiebre amarilla. Este artículo describe las acciones de control y prevención desencadenadas durante la epidemia de fiebre amarilla en el Estado de Espírito Santo, Brasil, y la implementación de la vacunación mediante un estudio ecológico con abordaje espacial. El estudio evidenció el fallo en la detección de epizootias en primates no humanos por los servicios de vigilancia de Espírito Santo, siendo simultánea a la detección en humanos. Presentó la evolución de las acciones de vacunación, con alcance de un 85% de cobertura en la vacunación general para el estado en seis meses, siendo heterogénea entre los municipios (de 59% a 122%). Se destaca que un 55% de los municipios con acciones de inmunización en tiempo oportuno, considerando el intervalo adoptado para este estudio, no presentaron casos humanos. La intensificación de las acciones de vigilancia, interlocución entre las áreas y equipos multidisciplinarios en la gestión de la epidemia optimizó la detección y diagnóstico de los casos humanos y viabilizó el control de la epidemia. Fue posible reconocer avances, apuntar algunas medidas tardías y lagunas en la vigilancia que necesitan mejorías.
Subject(s)
Aedes , Epidemics , Yellow Fever , Animals , Brazil/epidemiology , Disease Outbreaks/prevention & control , Disease Outbreaks/veterinary , Humans , Yellow Fever/epidemiology , Yellow Fever/prevention & control , Yellow Fever/veterinaryABSTRACT
Three key elements are the drivers of Aedes-borne disease: mosquito infestation, virus circulating, and susceptible human population. However, information on these aspects is not easily available in low- and middle-income countries. We analysed data on factors that influence one or more of those elements to study the first chikungunya epidemic in Rio de Janeiro city in 2016. Using spatio-temporal models, under the Bayesian framework, we estimated the association of those factors with chikungunya reported cases by neighbourhood and week. To estimate the minimum temperature effect in a non-linear fashion, we used a transfer function considering an instantaneous effect and propagation of a proportion of such effect to future times. The sociodevelopment index and the proportion of green areas (areas with agriculture, swamps and shoals, tree and shrub cover, and woody-grass cover) were included in the model with time-varying coefficients, allowing us to explore how their associations with the number of cases change throughout the epidemic. There were 13627 chikungunya cases in the study period. The sociodevelopment index presented the strongest association, inversely related to the risk of cases. Such association was more pronounced in the first weeks, indicating that socioeconomically vulnerable neighbourhoods were affected first and hardest by the epidemic. The proportion of green areas effect was null for most weeks. The temperature was directly associated with the risk of chikungunya for most neighbourhoods, with different decaying patterns. The temperature effect persisted longer where the epidemic was concentrated. In such locations, interventions should be designed to be continuous and to work in the long term. We observed that the role of the covariates changes over time. Therefore, time-varying coefficients should be widely incorporated when modelling Aedes-borne diseases. Our model contributed to the understanding of the spatio-temporal dynamics of an urban Aedes-borne disease introduction in a tropical metropolitan city.
Subject(s)
Chikungunya Fever/epidemiology , Social Class , Temperature , Aedes , Animals , Brazil/epidemiology , Chikungunya virus , Cities/epidemiology , Disease Outbreaks , Ecosystem , Humans , Mosquito Vectors , Spatio-Temporal AnalysisABSTRACT
In a context of community transmission and shortage of vaccines, COVID-19 vaccination should focus on directly reducing the morbidity and mortality caused by the disease. It was thus essential to define priority groups for vaccination by the Brazilian National Immunization Program (PNI in Portuguese), based on the risk of hospitalization and death from the disease. We calculated overrisk according to sex, age group, and comorbidities using hospitalization and death records from severe acute respiratory illness with confirmation of COVID-19 (SARI-COVID) in all of Brazil in the first 6 months of the epidemic. Higher overrisk was associated with male sex (hospitalization = 1.1 and death = 1.2), age over 45 years for hospitalization (OvRag ranging from 1.1 to 8.5), and age over 55 year for death (OvRag ranging from 1.5 to 18.3). In the groups with comorbidities, chronic kidney disease, diabetes mellitus, cardiovascular disease, and chronic lung disease were associated with overrisk, while there was no such evidence for asthma. Chronic kidney disease or diabetes and age over 60 showed an even stronger association, reaching overrisk of death 14 and 10 times greater than in the general population, respectively. For all the comorbidities, there was higher overrisk at older ages, with a downward gradient in the oldest age groups. This pattern was reversed when examining overrisk in the general population, for both hospitalization and death. The current study provided evidence of overrisk of hospitalization and death from SARI-COVID, assisting the definition of priority groups for COVID-19 vaccination.
Em um contexto de transmissão comunitária e escassez de vacinas, a vacinação contra a COVID-19 deve focar na redução direta da morbidade e da mortalidade causadas pela doença. Portanto, é fundamental a definição de grupos prioritários para a vacinação pelo Programa Nacional de Imunizações (PNI), baseada no risco de hospitalização e óbito pela doença. Para tal, calculamos o sobrerrisco por sexo, faixa etária e comorbidades por meio dos registros de hospitalização e óbito por síndrome respiratória aguda grave com confirmação de COVID-19 (SRAG-COVID) em todo o Brasil nos primeiros seis meses de epidemia. Apresentaram maior sobrerrisco pessoas do sexo masculino (hospitalização = 1,1 e óbito = 1,2), pessoas acima de 45 anos para hospitalização (SRfe variando de 1,1 a 8,5) e pessoas acima de 55 anos para óbitos (SRfe variando de 1,5 a 18,3). Nos grupos de comorbidades, doença renal crônica, diabetes mellitus, doença cardiovascular e pneumopatia crônica conferiram sobrerrisco, enquanto para asma não houve evidência. Ter doença renal crônica ou diabetes mellitus e 60 anos ou mais mostrou-se um fator ainda mais forte, alcançando sobrerrisco de óbito 14 e 10 vezes maior do que na população geral, respectivamente. Para todas as comorbidades, houve um sobrerrisco mais alto em idades maiores, com um gradiente de diminuição em faixas mais altas. Esse padrão se inverteu quando consideramos o sobrerrisco em relação à população geral, tanto para hospitalização quanto para óbito. O presente estudo forneceu evidências a respeito do sobrerrisco de hospitalização e óbito por SRAG-COVID, auxiliando na definição de grupos prioritários para a vacinação contra a COVID-19.
En un contexto de transmisión comunitaria y escasez de vacunas, la vacunación contra la COVID-19 debe enfocarse en la reducción directa de la morbilidad y de la mortalidad causadas por la enfermedad. Por lo tanto, es fundamental la definición de grupos prioritarios para la vacunación por el Programa Nacional de Inmunizaciones (PNI), basada en el riesgo de hospitalización y óbito por la enfermedad. Para tal fin, calculamos el sobrerriesgo por sexo, franja de edad y comorbilidades mediante los registros de hospitalización y óbito por síndrome respiratorio agudo grave con confirmación de COVID-19 (SRAG-COVID) en todo Brasil, durante los primeros seis meses de epidemia. Presentaron mayor sobrerriesgo personas del sexo masculino (hospitalización = 1,1 y óbito = 1,2), personas por encima de 45 años para hospitalización (SRfe variando de 1,1 a 8,5) y personas por encima de 55 años para óbitos (SRfe variando de 1,5 a 18,3). En los grupos de comorbilidades, enfermedad renal crónica, diabetes mellitus, enfermedad cardiovascular y neumopatía crónica ofrecieron sobrerriesgo, mientras que para el asma no hubo evidencia. Sufrir una enfermedad renal crónica o diabetes mellitus y tener 60 años o más mostró un factor todavía más fuerte, alcanzando sobrerriesgo de enfermedad 14 y 10 veces mayor que en la población general, respectivamente. Para todas las comorbilidades, hubo un sobrerriesgo más alto en edades mayores, con un gradiente de disminución en franjas más altas. Este patrón se invirtió cuando consideramos el sobrerriesgo en relación con la población general, tanto para hospitalización como para óbito. El presente estudio proporcionó evidencias respecto al sobrerriesgo de hospitalización y óbito por SRAG-COVID, ayudando en la definición de grupos prioritarios para la vacunación contra la COVID-19.
Subject(s)
COVID-19 Vaccines , COVID-19 , Aged , Brazil/epidemiology , Comorbidity , Hospitalization , Humans , Infant , Male , Middle Aged , SARS-CoV-2 , VaccinationABSTRACT
Human papillomavirus (HPV) can cause genital warts and HPV-related cancer.People living with human immunodeficiency virus (HIV)are more symptomatic for HPV infections.Campos dos Goytacazes,a municipality of Rio de Janeiro,introduced the quadrivalent HPV vaccine (4vHPV)for HIV-positive women four years before initiation of a public vaccination program.This study analyzed the prevalence of HPV infection in HIV-positive women and the variables associated with infectionTwo groups were evaluated:group 1,with Pap smear and HPV-negative polymerase chain reaction (PCR);group 2, individuals with at least one positive result for HPV in PCR or pap smear.PCR was performed in endocervical samples using generic primers, and the LCD-Array Kit was used for genotyping.Univariate and multivariate analyzes were performed.Results in 109 women (Group 1 n = 70; group 2 n = 39)showed an overall HPV prevalence of 36%.Results also showed that 88% (n = 23) and 96% (n = 25)of typed viruses (total of typed viruses n = 26)were included in 4vHPV and 9vHPV (nonavalent HPV),respectively.In univariate analysis,age less than 45 years, a high number of sexual partners,and HIV-viral load were risk factors for infection.However, a CD4 indicator was associated with protection.Although HIV infection is generally related to multiple and rare types of HPV,this study showed that a vast majority of the HPV types found are included in 4vHPV.Considering that age less than 45 years is a risk factor, the use of 4vHPV in Brazil should be extended in the public vaccination program to HIV seropositive women up to age 45 years.
Subject(s)
Alphapapillomavirus , HIV Infections , Papillomavirus Infections , Brazil/epidemiology , Female , Genomics , HIV Infections/complications , Humans , Middle Aged , Papillomaviridae/genetics , Papillomavirus Infections/epidemiology , Prevalence , Risk FactorsABSTRACT
OBJECTIVES: To investigate the dynamics of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection in a vulnerable population of children and their household contacts. METHODS: SARS-CoV-2 reverse transcription polymerase chain reaction assays and coronavirus disease 2019 (COVID-19) immunoglobulin G serology tests were performed in children and their household contacts after enrollment during primary health care clinic visits. Participants were followed prospectively with subsequent specimens collected through household visits in Manguinhos, an impoverished urban slum (a favela) in Rio de Janeiro at 1, 2, and 4 weeks and quarterly post study enrollment. RESULTS: Six hundred sixty-seven participants from 259 households were enrolled from May to September 2020. This included 323 children (0-13 years), 54 adolescents (14-19 years), and 290 adults. Forty-five (13.9%) children had positive test results for SARS-CoV-2 polymerase chain reaction. SARS-CoV-2 infection was most frequent in children aged <1 year (25%) and children aged 11 to 13 years (21%). No child had severe COVID-19 symptoms. Asymptomatic infection was more prevalent in children aged <14 years than in those aged ≥14 years (74.3% and 51.1%, respectively). All children (n = 45) diagnosed with SARS-CoV-2 infection had an adult contact with evidence of recent infection. CONCLUSIONS: In our setting, children do not seem to be the source of SARS-CoV-2 infection and most frequently acquire the virus from adults. Our findings suggest that, in settings such as ours, schools and child care potentially may be reopened safely if adequate COVID-19 mitigation measures are in place and staff are appropriately immunized.